克隆策略

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    In [11]:
    # 本代码由可视化策略环境自动生成 2021年11月19日 15:35
# 本代码单元只能在可视化模式下编辑。您也可以拷贝代码，粘贴到新建的代码单元或者策略，然后修改。


# Python 代码入口函数，input_1/2/3 对应三个输入端，data_1/2/3 对应三个输出端
def m1_run_bigquant_run(input_1, input_2, input_3, p1=0, p2=0.0):
    # 示例代码如下。在这里编写您的代码
    print(p1,p2)
    return Outputs(data_1=None, data_2=None, data_3=None)

# 后处理函数，可选。输入是主函数的输出，可以在这里对数据做处理，或者返回更友好的outputs数据格式。此函数输出不会被缓存。
def m1_post_run_bigquant_run(outputs):
    return outputs


m1 = M.cached.v3(
    run=m1_run_bigquant_run,
    post_run=m1_post_run_bigquant_run,
    input_ports='',
    params="""{   'p1':  0,
    'p2':  0.0
}""",
    output_ports=''
)

m3 = M.pytest000123_Copy.v4(

)

    None None