for stock in templist: ##查询昨天的股票是否阴板 stock_date=trade_date[trade_date.size-2] df_panel = get_price(stock, count = 1,end_date=stock_date, frequency='daily', fields=['open', 'close','high_limit','money','low','high','pre_close']) df_close = df_panel['close'].values df_high = df_panel['high'].values df_low = df_panel['low'].values df_open = df_panel['open'].values df_pre_close = df_panel['pre_close'].values df_high_limit = df_panel['high_limit'].values #查询昨天的close价格 df_panel_yes = get_price(stock, count = 1,end_date=end_date, frequency='daily', fields=['open', 'close','high_limit','money','low','high','pre_close']) df_close_yes = df_panel_yes['close'].values count_limit = count_limit_num_all(stock,context) if stock == '002400.XSHE': print(df_open) print(df_close) print(df_high) print(count_limit) pre_date_two = trade_date[trade_date.size-8] if df_open >= df_close and df_open < df_high and count_limit < = 5 and df_close_yes > df_high: df_panel_80 = get_price(stock, count = 45,end_date=pre_date_two, frequency='daily', fields=['open', 'close','high_limit','money','low','high','pre_close']) df_max_high_80 = df_panel_80["close"].max() df_min_low_80 = df_panel_80["close"].min() abs_sum_80 = (df_panel_80.loc[:,'close'] - df_panel_80.loc[:,'open']).abs() / ((df_panel_80.loc[:,'open']+df_panel_80.loc[:,'close']) / 2) abs_sum_num_803 = (abs_sum_80 < 0.03).sum() sum_plus_num_80 = (df_panel_80.loc[:,'close'] == df_panel_80.loc[:,'high_limit']).sum() rate_80 = (df_max_high_80 - df_min_low_80) / df_min_low_80 if stock == '002996.XSHE': print(df_close) print(df_max_high_80) print(rate_80) print(abs_sum_num_803) if rate_80 < 0.5 and abs_sum_num_803 > 25 and sum_plus_num_80 < = 7 and df_close_yes > df_max_high_80: help_stock.append(stock) 这里没看懂, 只买只002996.XSHE, 002400.XSHE, 运行了半年一次交易都 没有