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    In [21]:
    # 本代码由可视化策略环境自动生成 2022年12月13日 15:47
# 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。


# 交易引擎：初始化函数，只执行一次
def m1_initialize_bigquant_run(context):
    # 加载预测数据
    pass

# 交易引擎：每个单位时间开盘前调用一次。
def m1_before_trading_start_bigquant_run(context, data):
    # 盘前处理，订阅行情等
    pass

# 交易引擎：tick数据处理函数，每个tick执行一次
def m1_handle_tick_bigquant_run(context, tick):
    pass

# 交易引擎：bar数据处理函数，每个时间单位执行一次
def m1_handle_data_bigquant_run(context, data):
    pass

# 交易引擎：成交回报处理函数，每个成交发生时执行一次
def m1_handle_trade_bigquant_run(context, trade):
    pass

# 交易引擎：委托回报处理函数，每个委托变化时执行一次
def m1_handle_order_bigquant_run(context, order):
    pass

# 交易引擎：盘后处理函数，每日盘后执行一次
def m1_after_trading_bigquant_run(context, data):
    pass


m13 = M.use_datasource.v2(
    datasource_id='market_performance_CN_CONBOND',
    start_date='2018-01-01',
    end_date='2022-11-30',
    before_start_days=0
)

m6 = M.trade_data_generation.v1(
    input=m13.data,
    category='CN_STOCK'
)

m1 = M.hftrade.v2(
    instruments=m6.instrument_list,
    options_data=m13.data,
    start_date='2018-01-01',
    end_date='2022-11-30',
    initialize=m1_initialize_bigquant_run,
    before_trading_start=m1_before_trading_start_bigquant_run,
    handle_tick=m1_handle_tick_bigquant_run,
    handle_data=m1_handle_data_bigquant_run,
    handle_trade=m1_handle_trade_bigquant_run,
    handle_order=m1_handle_order_bigquant_run,
    after_trading=m1_after_trading_bigquant_run,
    capital_base=1000000,
    frequency='daily',
    price_type='真实价格',
    product_type='可转债',
    before_start_days='180',
    volume_limit=1,
    order_price_field_buy='open',
    order_price_field_sell='close',
    benchmark='000300.HIX',
    plot_charts=True,
    disable_cache=False,
    replay_bdb=False,
    show_debug_info=False,
    backtest_only=False
)

    ---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-21-ff797519c5f7> in <module>
     46 )
     47 
---> 48 m1 = M.hftrade.v2(
     49     instruments=m6.instrument_list,
     50     options_data=m13.data,

AttributeError: 'BigQuantModule' object has no attribute '_basic_info_ds'