akshare北向基金净流入买卖策略

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import akshare as ak   stock_hsgt_north_net_flow_in_em_df = ak.stock_hsgt_north_net_flow_in_em(symbol="北上")   stock_em_hsgt_north_cash_df = ak.stock_hsgt_north_cash_em(symbol="北上")   stock_hsgt_north_acc_flow_in_em_df = ak.stock_hsgt_north_acc_flow_in_em(symbol="北上") print('北向净流入',stock_hsgt_north_net_flow_in_em_df) # print('北向资金余额',stock_em_hsgt_north_cash_df) # print('北向累计净流入',stock_hsgt_north_acc_flow_in_em_df) for one in stock_hsgt_north_net_flow_in_em_df.values:     # print(one[1])       if one[1]<0:         print(one) """遍历每一个交易日，对北上进行分析""" signal = '无信号' for index, row in stock_hsgt_north_net_flow_in_em_df.iterrows():     # print(index)     # print(row)     if index<252:         continue     df_data_temp = stock_hsgt_north_net_flow_in_em_df.iloc[index-252:index]     # 计算近 252 天的平均数和标准差     average = df_data_temp['value'].sum()/252     std = df_data_temp['value'].std()     # 计算上下限     up_line = float(format(average + std * 1.5, '.4f'))     down_line = float(format(average - std * 1.5, '.4f'))     # 判断并输出     if row['value'] >= up_line:         signal = '看多'         print('{0}:<{1}> 北上净流入:{2}亿元，看多线:{3}亿元, 看空线:{4}亿元'.format(row['date'], signal, format(row['value'], '.4f'),                                                                   up_line, down_line))     elif row['value'] <= down_line:         signal = '看空'         print('{0}:<{1}> 北上净流入:{2}亿元，看多线:{3}亿元, 看空线:{4}亿元'.format(row['date'], signal, format(row['value'], '.4f'),                                                                   up_line, down_line))       if index == stock_hsgt_north_net_flow_in_em_df.shape[0] - 1:         print('\n最新数据\n{0}: <{1}> \n北上净流入:{2}亿元，看多线:{3}亿元, 看空线:{4}亿元\n'.format(row['date'], signal,                                                                                format(row['value'], '.4f'), up_line,                                                                                down_line))

 但是akshare只能获取净流入，北向余额和累计净流入，本策略使用净买入会更好，如果有知道如何又akshare计算净买入的，欢迎评论区告知！！！