Fitting 1 folds for each of 100 candidates, totalling 100 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV 1/1; 1/100] START m3.features=alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))

[CV 1/1; 1/100] END m3.features=alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
; score: (test=4.955) total time= 3.9min
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:  3.9min remaining:    0.0s
[CV 1/1; 2/100] START m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 2/100] END m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=4.607) total time= 3.7min
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:  7.6min remaining:    0.0s
[CV 1/1; 3/100] START m3.features=alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))

[CV 1/1; 3/100] END m3.features=alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
; score: (test=5.317) total time= 3.0min
[Parallel(n_jobs=1)]: Done   3 out of   3 | elapsed: 10.6min remaining:    0.0s
[CV 1/1; 4/100] START m3.features=alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))

[CV 1/1; 4/100] END m3.features=alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
; score: (test=4.646) total time= 3.5min
[Parallel(n_jobs=1)]: Done   4 out of   4 | elapsed: 14.2min remaining:    0.0s
[CV 1/1; 5/100] START m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))

[CV 1/1; 5/100] END m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
; score: (test=2.904) total time= 2.7min
[Parallel(n_jobs=1)]: Done   5 out of   5 | elapsed: 16.9min remaining:    0.0s
[CV 1/1; 6/100] START m3.features=alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))

[CV 1/1; 6/100] END m3.features=alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
; score: (test=2.625) total time= 3.0min
[Parallel(n_jobs=1)]: Done   6 out of   6 | elapsed: 19.9min remaining:    0.0s
[CV 1/1; 7/100] START m3.features=alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))

[CV 1/1; 7/100] END m3.features=alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
; score: (test=4.616) total time= 3.2min
[Parallel(n_jobs=1)]: Done   7 out of   7 | elapsed: 23.1min remaining:    0.0s
[CV 1/1; 8/100] START m3.features=alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))

[CV 1/1; 8/100] END m3.features=alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
; score: (test=4.355) total time= 3.2min
[Parallel(n_jobs=1)]: Done   8 out of   8 | elapsed: 26.3min remaining:    0.0s
[CV 1/1; 9/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))

[CV 1/1; 9/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
; score: (test=2.757) total time= 3.4min
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed: 29.7min remaining:    0.0s
[CV 1/1; 10/100] START m3.features=alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))

[CV 1/1; 10/100] END m3.features=alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
; score: (test=6.787) total time= 3.4min
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed: 33.1min remaining:    0.0s
[CV 1/1; 11/100] START m3.features=alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))

[CV 1/1; 11/100] END m3.features=alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
; score: (test=5.664) total time= 3.7min
[Parallel(n_jobs=1)]: Done  11 out of  11 | elapsed: 36.8min remaining:    0.0s
[CV 1/1; 12/100] START m3.features=alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))

[CV 1/1; 12/100] END m3.features=alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
; score: (test=5.343) total time= 3.2min
[Parallel(n_jobs=1)]: Done  12 out of  12 | elapsed: 40.0min remaining:    0.0s
[CV 1/1; 13/100] START m3.features=alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))

[CV 1/1; 13/100] END m3.features=alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
; score: (test=4.251) total time= 3.9min
[Parallel(n_jobs=1)]: Done  13 out of  13 | elapsed: 43.8min remaining:    0.0s
[CV 1/1; 14/100] START m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))

[CV 1/1; 14/100] END m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
; score: (test=6.915) total time= 3.0min
[Parallel(n_jobs=1)]: Done  14 out of  14 | elapsed: 46.9min remaining:    0.0s
[CV 1/1; 15/100] START m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 15/100] END m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=4.653) total time= 3.4min
[Parallel(n_jobs=1)]: Done  15 out of  15 | elapsed: 50.2min remaining:    0.0s
[CV 1/1; 16/100] START m3.features=alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))

[CV 1/1; 16/100] END m3.features=alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
; score: (test=4.257) total time= 3.4min
[Parallel(n_jobs=1)]: Done  16 out of  16 | elapsed: 53.6min remaining:    0.0s
[CV 1/1; 17/100] START m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 17/100] END m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=3.468) total time= 3.9min
[Parallel(n_jobs=1)]: Done  17 out of  17 | elapsed: 57.5min remaining:    0.0s
[CV 1/1; 18/100] START m3.features=alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))

[CV 1/1; 18/100] END m3.features=alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
; score: (test=4.774) total time= 3.4min
[Parallel(n_jobs=1)]: Done  18 out of  18 | elapsed: 60.9min remaining:    0.0s
[CV 1/1; 19/100] START m3.features=alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_006=(-1*correlation(open_0,volume_0,10))

[CV 1/1; 19/100] END m3.features=alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_006=(-1*correlation(open_0,volume_0,10))
; score: (test=4.810) total time= 3.0min
[Parallel(n_jobs=1)]: Done  19 out of  19 | elapsed: 63.9min remaining:    0.0s
[CV 1/1; 20/100] START m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))

[CV 1/1; 20/100] END m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
; score: (test=3.626) total time= 4.4min
[Parallel(n_jobs=1)]: Done  20 out of  20 | elapsed: 68.3min remaining:    0.0s
[CV 1/1; 21/100] START m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))

[CV 1/1; 21/100] END m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
; score: (test=2.781) total time= 3.0min
[Parallel(n_jobs=1)]: Done  21 out of  21 | elapsed: 71.3min remaining:    0.0s
[CV 1/1; 22/100] START m3.features=alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))

[CV 1/1; 22/100] END m3.features=alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
; score: (test=4.196) total time= 3.9min
[Parallel(n_jobs=1)]: Done  22 out of  22 | elapsed: 75.2min remaining:    0.0s
[CV 1/1; 23/100] START m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)

[CV 1/1; 23/100] END m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
; score: (test=5.299) total time= 3.5min
[Parallel(n_jobs=1)]: Done  23 out of  23 | elapsed: 78.7min remaining:    0.0s
[CV 1/1; 24/100] START m3.features=alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))

[CV 1/1; 24/100] END m3.features=alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
; score: (test=4.490) total time= 3.0min
[Parallel(n_jobs=1)]: Done  24 out of  24 | elapsed: 81.7min remaining:    0.0s
[CV 1/1; 25/100] START m3.features=alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))

[CV 1/1; 25/100] END m3.features=alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
; score: (test=2.877) total time= 3.5min
[Parallel(n_jobs=1)]: Done  25 out of  25 | elapsed: 85.3min remaining:    0.0s
[CV 1/1; 26/100] START m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))

[CV 1/1; 26/100] END m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
; score: (test=5.912) total time= 3.4min
[Parallel(n_jobs=1)]: Done  26 out of  26 | elapsed: 88.6min remaining:    0.0s
[CV 1/1; 27/100] START m3.features=alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))

[CV 1/1; 27/100] END m3.features=alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
; score: (test=4.453) total time= 3.4min
[Parallel(n_jobs=1)]: Done  27 out of  27 | elapsed: 92.0min remaining:    0.0s
[CV 1/1; 28/100] START m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))

[CV 1/1; 28/100] END m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
; score: (test=5.863) total time= 3.4min
[Parallel(n_jobs=1)]: Done  28 out of  28 | elapsed: 95.4min remaining:    0.0s
[CV 1/1; 29/100] START m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))

[CV 1/1; 29/100] END m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
; score: (test=6.413) total time= 3.2min
[Parallel(n_jobs=1)]: Done  29 out of  29 | elapsed: 98.6min remaining:    0.0s
[CV 1/1; 30/100] START m3.features=alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))

[CV 1/1; 30/100] END m3.features=alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
; score: (test=5.645) total time= 3.8min
[Parallel(n_jobs=1)]: Done  30 out of  30 | elapsed: 102.4min remaining:    0.0s
[CV 1/1; 31/100] START m3.features=alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))

[CV 1/1; 31/100] END m3.features=alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
; score: (test=5.346) total time= 3.4min
[Parallel(n_jobs=1)]: Done  31 out of  31 | elapsed: 105.8min remaining:    0.0s
[CV 1/1; 32/100] START m3.features=alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))

[CV 1/1; 32/100] END m3.features=alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
; score: (test=4.441) total time= 3.1min
[Parallel(n_jobs=1)]: Done  32 out of  32 | elapsed: 108.9min remaining:    0.0s
[CV 1/1; 33/100] START m3.features=alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))

[CV 1/1; 33/100] END m3.features=alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
; score: (test=3.284) total time= 3.4min
[Parallel(n_jobs=1)]: Done  33 out of  33 | elapsed: 112.3min remaining:    0.0s
[CV 1/1; 34/100] START m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)

[CV 1/1; 34/100] END m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
; score: (test=4.072) total time= 3.4min
[Parallel(n_jobs=1)]: Done  34 out of  34 | elapsed: 115.7min remaining:    0.0s
[CV 1/1; 35/100] START m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))

[CV 1/1; 35/100] END m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
; score: (test=4.292) total time= 4.1min
[Parallel(n_jobs=1)]: Done  35 out of  35 | elapsed: 119.8min remaining:    0.0s
[CV 1/1; 36/100] START m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))

[CV 1/1; 36/100] END m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
; score: (test=4.486) total time= 4.0min
[Parallel(n_jobs=1)]: Done  36 out of  36 | elapsed: 123.8min remaining:    0.0s
[CV 1/1; 37/100] START m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))

[CV 1/1; 37/100] END m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
; score: (test=4.696) total time= 3.2min
[Parallel(n_jobs=1)]: Done  37 out of  37 | elapsed: 127.0min remaining:    0.0s
[CV 1/1; 38/100] START m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))

[CV 1/1; 38/100] END m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
; score: (test=5.235) total time= 4.1min
[Parallel(n_jobs=1)]: Done  38 out of  38 | elapsed: 131.1min remaining:    0.0s
[CV 1/1; 39/100] START m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))

[CV 1/1; 39/100] END m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
; score: (test=3.591) total time= 5.1min
[Parallel(n_jobs=1)]: Done  39 out of  39 | elapsed: 136.3min remaining:    0.0s
[CV 1/1; 40/100] START m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))

[CV 1/1; 40/100] END m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
; score: (test=4.945) total time= 4.8min
[Parallel(n_jobs=1)]: Done  40 out of  40 | elapsed: 141.1min remaining:    0.0s
[CV 1/1; 41/100] START m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))

[CV 1/1; 41/100] END m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
; score: (test=3.355) total time= 4.4min
[Parallel(n_jobs=1)]: Done  41 out of  41 | elapsed: 145.5min remaining:    0.0s
[CV 1/1; 42/100] START m3.features=alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))

[CV 1/1; 42/100] END m3.features=alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
; score: (test=4.159) total time= 5.6min
[Parallel(n_jobs=1)]: Done  42 out of  42 | elapsed: 151.1min remaining:    0.0s
[CV 1/1; 43/100] START m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))

[CV 1/1; 43/100] END m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
; score: (test=5.992) total time= 4.1min
[Parallel(n_jobs=1)]: Done  43 out of  43 | elapsed: 155.2min remaining:    0.0s
[CV 1/1; 44/100] START m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))

[CV 1/1; 44/100] END m3.features=alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
; score: (test=2.695) total time= 3.9min
[Parallel(n_jobs=1)]: Done  44 out of  44 | elapsed: 159.1min remaining:    0.0s
[CV 1/1; 45/100] START m3.features=alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))

[CV 1/1; 45/100] END m3.features=alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
; score: (test=4.319) total time= 3.7min
[Parallel(n_jobs=1)]: Done  45 out of  45 | elapsed: 162.8min remaining:    0.0s
[CV 1/1; 46/100] START m3.features=alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))

[CV 1/1; 46/100] END m3.features=alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
; score: (test=5.095) total time= 4.2min
[Parallel(n_jobs=1)]: Done  46 out of  46 | elapsed: 167.0min remaining:    0.0s
[CV 1/1; 47/100] START m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))

[CV 1/1; 47/100] END m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
; score: (test=5.840) total time= 3.4min
[Parallel(n_jobs=1)]: Done  47 out of  47 | elapsed: 170.4min remaining:    0.0s
[CV 1/1; 48/100] START m3.features=alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))

[CV 1/1; 48/100] END m3.features=alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
; score: (test=6.163) total time= 3.2min
[Parallel(n_jobs=1)]: Done  48 out of  48 | elapsed: 173.6min remaining:    0.0s
[CV 1/1; 49/100] START m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))

[CV 1/1; 49/100] END m3.features=alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
; score: (test=4.158) total time= 3.0min
[Parallel(n_jobs=1)]: Done  49 out of  49 | elapsed: 176.6min remaining:    0.0s
[CV 1/1; 50/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))

[CV 1/1; 50/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
; score: (test=4.617) total time= 3.0min
[Parallel(n_jobs=1)]: Done  50 out of  50 | elapsed: 179.7min remaining:    0.0s
[CV 1/1; 51/100] START m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))

[CV 1/1; 51/100] END m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
; score: (test=4.621) total time= 3.2min
[Parallel(n_jobs=1)]: Done  51 out of  51 | elapsed: 182.9min remaining:    0.0s
[CV 1/1; 52/100] START m3.features=alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))

[CV 1/1; 52/100] END m3.features=alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
; score: (test=3.676) total time= 3.0min
[Parallel(n_jobs=1)]: Done  52 out of  52 | elapsed: 185.9min remaining:    0.0s
[CV 1/1; 53/100] START m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 53/100] END m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=3.206) total time= 2.9min
[Parallel(n_jobs=1)]: Done  53 out of  53 | elapsed: 188.8min remaining:    0.0s
[CV 1/1; 54/100] START m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))

[CV 1/1; 54/100] END m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
; score: (test=5.679) total time= 4.4min
[Parallel(n_jobs=1)]: Done  54 out of  54 | elapsed: 193.1min remaining:    0.0s
[CV 1/1; 55/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 55/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=3.827) total time= 3.0min
[Parallel(n_jobs=1)]: Done  55 out of  55 | elapsed: 196.2min remaining:    0.0s
[CV 1/1; 56/100] START m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))

[CV 1/1; 56/100] END m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
; score: (test=4.747) total time= 3.2min
[Parallel(n_jobs=1)]: Done  56 out of  56 | elapsed: 199.4min remaining:    0.0s
[CV 1/1; 57/100] START m3.features=alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))

[CV 1/1; 57/100] END m3.features=alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
; score: (test=2.886) total time= 3.2min
[Parallel(n_jobs=1)]: Done  57 out of  57 | elapsed: 202.6min remaining:    0.0s
[CV 1/1; 58/100] START m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))

[CV 1/1; 58/100] END m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
; score: (test=4.826) total time= 3.2min
[Parallel(n_jobs=1)]: Done  58 out of  58 | elapsed: 205.8min remaining:    0.0s
[CV 1/1; 59/100] START m3.features=alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))

[CV 1/1; 59/100] END m3.features=alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
; score: (test=3.655) total time= 2.9min
[Parallel(n_jobs=1)]: Done  59 out of  59 | elapsed: 208.7min remaining:    0.0s
[CV 1/1; 60/100] START m3.features=.............................................

[CV 1/1; 60/100] END ...........................m3.features=; total time= 2.2min
[Parallel(n_jobs=1)]: Done  60 out of  60 | elapsed: 210.9min remaining:    0.0s
[CV 1/1; 61/100] START m3.features=alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))

[CV 1/1; 61/100] END m3.features=alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
; score: (test=5.465) total time= 3.0min
[Parallel(n_jobs=1)]: Done  61 out of  61 | elapsed: 213.9min remaining:    0.0s
[CV 1/1; 62/100] START m3.features=alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)

[CV 1/1; 62/100] END m3.features=alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
; score: (test=6.087) total time= 3.2min
[Parallel(n_jobs=1)]: Done  62 out of  62 | elapsed: 217.1min remaining:    0.0s
[CV 1/1; 63/100] START m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))

[CV 1/1; 63/100] END m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
; score: (test=4.305) total time= 4.9min
[Parallel(n_jobs=1)]: Done  63 out of  63 | elapsed: 222.0min remaining:    0.0s
[CV 1/1; 64/100] START m3.features=alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))

[CV 1/1; 64/100] END m3.features=alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
; score: (test=6.096) total time= 3.5min
[Parallel(n_jobs=1)]: Done  64 out of  64 | elapsed: 225.5min remaining:    0.0s
[CV 1/1; 65/100] START m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))

[CV 1/1; 65/100] END m3.features=alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
; score: (test=4.774) total time= 3.9min
[Parallel(n_jobs=1)]: Done  65 out of  65 | elapsed: 229.4min remaining:    0.0s
[CV 1/1; 66/100] START m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))

[CV 1/1; 66/100] END m3.features=alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))
; score: (test=2.727) total time= 4.7min
[Parallel(n_jobs=1)]: Done  66 out of  66 | elapsed: 234.1min remaining:    0.0s
[CV 1/1; 67/100] START m3.features=alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))

[CV 1/1; 67/100] END m3.features=alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
; score: (test=4.351) total time= 3.7min
[Parallel(n_jobs=1)]: Done  67 out of  67 | elapsed: 237.8min remaining:    0.0s
[CV 1/1; 68/100] START m3.features=alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))

[CV 1/1; 68/100] END m3.features=alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
; score: (test=3.272) total time= 4.0min
[Parallel(n_jobs=1)]: Done  68 out of  68 | elapsed: 241.9min remaining:    0.0s
[CV 1/1; 69/100] START m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))

[CV 1/1; 69/100] END m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
; score: (test=3.776) total time= 3.7min
[Parallel(n_jobs=1)]: Done  69 out of  69 | elapsed: 245.6min remaining:    0.0s
[CV 1/1; 70/100] START m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))

[CV 1/1; 70/100] END m3.features=alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
; score: (test=3.522) total time= 3.4min
[Parallel(n_jobs=1)]: Done  70 out of  70 | elapsed: 249.0min remaining:    0.0s
[CV 1/1; 71/100] START m3.features=alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))

[CV 1/1; 71/100] END m3.features=alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
; score: (test=5.708) total time= 3.7min
[Parallel(n_jobs=1)]: Done  71 out of  71 | elapsed: 252.6min remaining:    0.0s
[CV 1/1; 72/100] START m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))

[CV 1/1; 72/100] END m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
; score: (test=6.100) total time= 3.4min
[Parallel(n_jobs=1)]: Done  72 out of  72 | elapsed: 256.0min remaining:    0.0s
[CV 1/1; 73/100] START m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))

[CV 1/1; 73/100] END m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
; score: (test=5.180) total time= 4.4min
[Parallel(n_jobs=1)]: Done  73 out of  73 | elapsed: 260.4min remaining:    0.0s
[CV 1/1; 74/100] START m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))

[CV 1/1; 74/100] END m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
; score: (test=3.756) total time= 4.2min
[Parallel(n_jobs=1)]: Done  74 out of  74 | elapsed: 264.6min remaining:    0.0s
[CV 1/1; 75/100] START m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))

[CV 1/1; 75/100] END m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
; score: (test=3.936) total time= 4.5min
[Parallel(n_jobs=1)]: Done  75 out of  75 | elapsed: 269.1min remaining:    0.0s
[CV 1/1; 76/100] START m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))

[CV 1/1; 76/100] END m3.features=alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
; score: (test=6.314) total time= 3.7min
[Parallel(n_jobs=1)]: Done  76 out of  76 | elapsed: 272.8min remaining:    0.0s
[CV 1/1; 77/100] START m3.features=alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))

[CV 1/1; 77/100] END m3.features=alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
; score: (test=4.512) total time= 3.7min
[Parallel(n_jobs=1)]: Done  77 out of  77 | elapsed: 276.5min remaining:    0.0s
[CV 1/1; 78/100] START m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))

[CV 1/1; 78/100] END m3.features=alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
; score: (test=4.171) total time= 3.0min
[Parallel(n_jobs=1)]: Done  78 out of  78 | elapsed: 279.5min remaining:    0.0s
[CV 1/1; 79/100] START m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))

[CV 1/1; 79/100] END m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
; score: (test=4.815) total time= 3.7min
[Parallel(n_jobs=1)]: Done  79 out of  79 | elapsed: 283.2min remaining:    0.0s
[CV 1/1; 80/100] START m3.features=alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))

[CV 1/1; 80/100] END m3.features=alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
; score: (test=2.172) total time= 3.8min
[Parallel(n_jobs=1)]: Done  80 out of  80 | elapsed: 287.0min remaining:    0.0s
[CV 1/1; 81/100] START m3.features=alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))

[CV 1/1; 81/100] END m3.features=alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
; score: (test=5.814) total time= 3.0min
[Parallel(n_jobs=1)]: Done  81 out of  81 | elapsed: 290.0min remaining:    0.0s
[CV 1/1; 82/100] START m3.features=alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))

[CV 1/1; 82/100] END m3.features=alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
; score: (test=3.682) total time= 3.0min
[Parallel(n_jobs=1)]: Done  82 out of  82 | elapsed: 293.1min remaining:    0.0s
[CV 1/1; 83/100] START m3.features=alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))

[CV 1/1; 83/100] END m3.features=alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
; score: (test=3.297) total time= 2.9min
[Parallel(n_jobs=1)]: Done  83 out of  83 | elapsed: 296.0min remaining:    0.0s
[CV 1/1; 84/100] START m3.features=alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))

[CV 1/1; 84/100] END m3.features=alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
; score: (test=3.151) total time= 3.4min
[Parallel(n_jobs=1)]: Done  84 out of  84 | elapsed: 299.3min remaining:    0.0s
[CV 1/1; 85/100] START m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))

[CV 1/1; 85/100] END m3.features=alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
; score: (test=5.955) total time= 3.2min
[Parallel(n_jobs=1)]: Done  85 out of  85 | elapsed: 302.5min remaining:    0.0s
[CV 1/1; 86/100] START m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))

[CV 1/1; 86/100] END m3.features=alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
; score: (test=4.762) total time= 3.2min
[Parallel(n_jobs=1)]: Done  86 out of  86 | elapsed: 305.7min remaining:    0.0s
[CV 1/1; 87/100] START m3.features=alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))

[CV 1/1; 87/100] END m3.features=alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
; score: (test=4.957) total time= 3.9min
[Parallel(n_jobs=1)]: Done  87 out of  87 | elapsed: 309.6min remaining:    0.0s
[CV 1/1; 88/100] START m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))

[CV 1/1; 88/100] END m3.features=alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
; score: (test=3.503) total time= 3.2min
[Parallel(n_jobs=1)]: Done  88 out of  88 | elapsed: 312.8min remaining:    0.0s
[CV 1/1; 89/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))

[CV 1/1; 89/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
; score: (test=2.567) total time= 3.2min
[Parallel(n_jobs=1)]: Done  89 out of  89 | elapsed: 316.0min remaining:    0.0s
[CV 1/1; 90/100] START m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))

[CV 1/1; 90/100] END m3.features=alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_020=(((-1*rank((open_0-delay(high_0,1))))*rank((open_0-delay(close_0,1))))*rank((open_0-delay(low_0,1))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
; score: (test=4.536) total time= 3.4min
[Parallel(n_jobs=1)]: Done  90 out of  90 | elapsed: 319.4min remaining:    0.0s
[CV 1/1; 91/100] START m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))

[CV 1/1; 91/100] END m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_009=where((0<ts_min(delta(close_0,1),5)),delta(close_0,1),where((ts_max(delta(close_0,1),5)<0),delta(close_0,1),(-1*delta(close_0,1))))
alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
; score: (test=5.588) total time= 3.4min
[Parallel(n_jobs=1)]: Done  91 out of  91 | elapsed: 322.7min remaining:    0.0s
[CV 1/1; 92/100] START m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))

[CV 1/1; 92/100] END m3.features=alpha_047=((div((rank((1/close_0))*volume_0),mean(volume_0,20))*((high_0*rank((high_0-close_0)))/(sum(high_0,5)/5)))-rank((((high_0+low_0+open_0+close_0)*0.25)-delay(((high_0+low_0+open_0+close_0)*0.25),5))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
; score: (test=4.440) total time= 3.2min
[Parallel(n_jobs=1)]: Done  92 out of  92 | elapsed: 326.0min remaining:    0.0s
[CV 1/1; 93/100] START m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))

[CV 1/1; 93/100] END m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_003=(-1*correlation(rank(open_0),rank(volume_0),10))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_011=((rank(ts_max((((high_0+low_0+open_0+close_0)*0.25)-close_0),3))+rank(ts_min((((high_0+low_0+open_0+close_0)*0.25)-close_0),3)))*rank(delta(volume_0,3)))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
; score: (test=4.207) total time= 4.5min
[Parallel(n_jobs=1)]: Done  93 out of  93 | elapsed: 330.5min remaining:    0.0s
[CV 1/1; 94/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))

[CV 1/1; 94/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_031=((rank(rank(rank(decay_linear((-1*rank(rank(delta(close_0,10)))),10))))+rank((-1*delta(close_0,3))))+sign(scale(correlation(mean(volume_0,20),low_0,12))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_010=rank(where((0<ts_min(delta(close_0,1),4)),delta(close_0,1),where((ts_max(delta(close_0,1),4)<0),delta(close_0,1),(-1*delta(close_0,1)))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
; score: (test=6.021) total time= 3.0min
[Parallel(n_jobs=1)]: Done  94 out of  94 | elapsed: 333.5min remaining:    0.0s
[CV 1/1; 95/100] START m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_006=(-1*correlation(open_0,volume_0,10))

[CV 1/1; 95/100] END m3.features=alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_012=(sign(delta(volume_0,1))*(-1*delta(close_0,1)))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_044=(-1*correlation(high_0,rank(volume_0),5))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_021=where((((sum(close_0,8)/8)+std(close_0,8))<(sum(close_0,2)/2)),(-1*1),where(((sum(close_0,2)/2)<((sum(close_0,8)/8)-std(close_0,8))),1,where(((1<div(volume_0,mean(volume_0,20)))|(div(volume_0,mean(volume_0,20))==1)),1,(-1*1))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_005=(rank((open_0-(sum(((high_0+low_0+open_0+close_0)*0.25),10)/10)))*(-1*abs(rank((close_0-((high_0+low_0+open_0+close_0)*0.25))))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_028=scale(((correlation(mean(volume_0,20),low_0,5)+((high_0+low_0)/2))-close_0))
alpha_006=(-1*correlation(open_0,volume_0,10))
; score: (test=4.651) total time= 3.2min
[Parallel(n_jobs=1)]: Done  95 out of  95 | elapsed: 336.7min remaining:    0.0s
[CV 1/1; 96/100] START m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))

[CV 1/1; 96/100] END m3.features=alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_006=(-1*correlation(open_0,volume_0,10))
alpha_036=(((((2.21*rank(correlation((close_0-open_0),delay(volume_0,1),15)))+(0.7*rank((open_0-close_0))))+(0.73*rank(ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))))+rank(abs(correlation(((high_0+low_0+open_0+close_0)*0.25),mean(volume_0,20),6))))+(0.6*rank((((sum(close_0,200)/200)-open_0)*(close_0-open_0)))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_050=(-1*ts_max(rank(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),5)),5))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_017=(((-1*rank(ts_rank(close_0,10)))*rank(delta(delta(close_0,1),1)))*rank(ts_rank((div(volume_0,mean(volume_0,20))),5)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_035=((ts_rank(volume_0,32)*(1-ts_rank(((close_0+high_0)-low_0),16)))*(1-ts_rank((close_0/shift(close_0,1)-1),32)))
alpha_037=(rank(correlation(delay((open_0-close_0),1),close_0,200))+rank((open_0-close_0)))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_053=(-1*delta(div(((close_0-low_0)-(high_0-close_0)),(close_0-low_0)),9))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
; score: (test=4.546) total time= 3.4min
[Parallel(n_jobs=1)]: Done  96 out of  96 | elapsed: 340.1min remaining:    0.0s
[CV 1/1; 97/100] START m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))

[CV 1/1; 97/100] END m3.features=alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
; score: (test=4.916) total time= 2.9min
[Parallel(n_jobs=1)]: Done  97 out of  97 | elapsed: 343.0min remaining:    0.0s
[CV 1/1; 98/100] START m3.features=alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))

[CV 1/1; 98/100] END m3.features=alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
alpha_030=div(((1.0-rank(((sign((close_0-delay(close_0,1)))+sign((delay(close_0,1)-delay(close_0,2))))+sign((delay(close_0,2)-delay(close_0,3))))))*sum(volume_0,5)),sum(volume_0,20))
alpha_057=(0-(1*div((close_0-((high_0+low_0+open_0+close_0)*0.25)),decay_linear(rank(ts_argmax(close_0,30)),2))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_101=div((close_0-open_0),((high_0-low_0)+0.001))
alpha_018=(-1*rank(((std(abs((close_0-open_0)),5)+(close_0-open_0))+correlation(close_0,open_0,10))))
alpha_046=where((0.25<(((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))),(-1*1),where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<0),1,((-1*1)*(close_0-delay(close_0,1)))))
alpha_002=(-1*correlation(rank(delta(log(volume_0),2)),rank(div((close_0-open_0),open_0)),6))
alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_004=(-1*ts_rank(rank(low_0),9))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_023=where(((sum(high_0,20)/20)<high_0),(-1*delta(high_0,2)),0)
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_039=((-1*rank((delta(close_0,7)*(1-rank(decay_linear(div(volume_0,mean(volume_0,20)),9))))))*(1+rank(sum((close_0/shift(close_0,1)-1),250))))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_025=rank(((((-1*(close_0/shift(close_0,1)-1))*mean(volume_0,20))*((high_0+low_0+open_0+close_0)*0.25))*(high_0-close_0)))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
; score: (test=7.311) total time= 7.6min
[Parallel(n_jobs=1)]: Done  98 out of  98 | elapsed: 350.5min remaining:    0.0s
[CV 1/1; 99/100] START m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))

[CV 1/1; 99/100] END m3.features=alpha_027=where((0.5<rank((sum(correlation(rank(volume_0),rank(((high_0+low_0+open_0+close_0)*0.25)),6),2)/2.0))),(-1*1),1)
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_034=rank(((1-rank(div(std((close_0/shift(close_0,1)-1),2),std((close_0/shift(close_0,1)-1),5))))+(1-rank(delta(close_0,1)))))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_040=((-1*rank(std(high_0,10)))*correlation(high_0,volume_0,10))
alpha_042=div(rank((((high_0+low_0+open_0+close_0)*0.25)-close_0)),rank((((high_0+low_0+open_0+close_0)*0.25)+close_0)))
alpha_051=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.05)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_026=(-1*ts_max(correlation(ts_rank(volume_0,5),ts_rank(high_0,5),5),3))
alpha_033=rank((-1*((1-(open_0/close_0))**1)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_045=(-1*((rank((sum(delay(close_0,5),20)/20))*correlation(close_0,volume_0,2))*rank(correlation(sum(close_0,5),sum(close_0,20),2))))
alpha_007=where((mean(volume_0,20)<volume_0),((-1*ts_rank(abs(delta(close_0,7)),60))*sign(delta(close_0,7))),(-1*1))
alpha_008=(-1*rank(((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5))-delay((sum(open_0,5)*sum((close_0/shift(close_0,1)-1),5)),10))))
alpha_055=(-1*correlation(rank(div((close_0-ts_min(low_0,12)),(ts_max(high_0,12)-ts_min(low_0,12)))),rank(volume_0),6))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_054=div((-1*((low_0-close_0)*(open_0**5))),((low_0-high_0)*(close_0**5)))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_022=(-1*(delta(correlation(high_0,volume_0,5),5)*rank(std(close_0,20))))
; score: (test=3.881) total time= 3.0min
[Parallel(n_jobs=1)]: Done  99 out of  99 | elapsed: 353.6min remaining:    0.0s
[CV 1/1; 100/100] START m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))

[CV 1/1; 100/100] END m3.features=alpha_016=(-1*rank(covariance(rank(high_0),rank(volume_0),5)))
alpha_056=(0-(1*(rank(div(sum((close_0/shift(close_0,1)-1),10),sum(sum((close_0/shift(close_0,1)-1),2),3)))*rank(((close_0/shift(close_0,1)-1)*market_cap_0)))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_052=((((-1*ts_min(low_0,5))+delay(ts_min(low_0,5),5))*rank(((sum((close_0/shift(close_0,1)-1),240)-sum((close_0/shift(close_0,1)-1),20))/220)))*ts_rank(volume_0,5))
alpha_038=((-1*rank(ts_rank(close_0,10)))*rank((close_0/open_0)))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_014=((-1*rank(delta((close_0/shift(close_0,1)-1),3)))*correlation(open_0,volume_0,10))
alpha_060=(0-(1*((2*scale(rank((div(((close_0-low_0)-(high_0-close_0)),(high_0-low_0))*volume_0))))-scale(rank(ts_argmax(close_0,10))))))
alpha_083=div((rank(delay(div((high_0-low_0),(sum(close_0,5)/5)),2))*rank(rank(volume_0))),div(((high_0-low_0)/(sum(close_0,5)/5)),(((high_0+low_0+open_0+close_0)*0.25)-close_0)))
alpha_001=(rank(ts_argmax(signedpower(where(((close_0/shift(close_0,1)-1)<0),std((close_0/shift(close_0,1)-1),20),close_0),2),5))-0.5)
alpha_049=where(((((delay(close_0,20)-delay(close_0,10))/10)-((delay(close_0,10)-close_0)/10))<(-1*0.1)),1,((-1*1)*(close_0-delay(close_0,1))))
alpha_019=((-1*sign(((close_0-delay(close_0,7))+delta(close_0,7))))*(1+rank((1+sum((close_0/shift(close_0,1)-1),250)))))
alpha_013=(-1*rank(covariance(rank(close_0),rank(volume_0),5)))
alpha_043=(ts_rank(div(volume_0,mean(volume_0,20)),20)*ts_rank((-1*delta(close_0,7)),8))
alpha_015=(-1*sum(rank(correlation(rank(high_0),rank(volume_0),3)),3))
alpha_024=where((((delta((sum(close_0,100)/100),100)/delay(close_0,100))<0.05)|((delta((sum(close_0,100)/100),100)/delay(close_0,100))==0.05)),(-1*(close_0-ts_min(close_0,100))),(-1*delta(close_0,3)))
alpha_029=(min(product(rank(rank(scale(log(sum(ts_min(rank(rank((-1*rank(delta((close_0-1),5))))),2),1))))),1),5)+ts_rank(delay((-1*(close_0/shift(close_0,1)-1)),6),5))
alpha_041=(((high_0*low_0)**0.5)-((high_0+low_0+open_0+close_0)*0.25))
alpha_032=(scale(((sum(close_0,7)/7)-close_0))+(20*scale(correlation(((high_0+low_0+open_0+close_0)*0.25),delay(close_0,5),230))))
; score: (test=3.278) total time= 4.0min
[Parallel(n_jobs=1)]: Done 100 out of 100 | elapsed: 357.6min finished