def sample_a21():
# 设置初始资金数
read_cash = 500000000
# 择时股票池
# choice_symbols = ['603993', '601998', '601992', '601991', '601989', '601988', '601985', '601939', '601933', '601919', '601901', '601899', '601898', '601881', '601877', '601857', '601828', '601818', '601808', '601800', '601788', '601766', '601727', '601688', '601669', '601668', '601633', '601628', '601618', '601607', '601601', '601600', '601398', '601390', '601360', '601328', '601288', '601238', '601229', '601225', '601211', '601186', '601169', '601166', '601155', '601111', '601108', '601088', '601018', '601012', '601009', '601006', '600999', '600958', '600919', '600900', '600893', '600887', '600837', '600816', '600795', '600703', '600690', '600688', '600663', '600660', '600606', '600600', '600588', '600585', '600518', '600487', '600406', '600398', '600383', '600362', '600346', '600340', '600309', '600297', '600221', '600196', '600188', '600176', '600115', '600111', '600104', '600061', '600050', '600048', '600036', '600031', '600030', '600029', '600028', '600025', '600023', '600019', '600018', '600016', '600015', '600011', '600010', '600000', '300498', '300433', '300124', '300072', '300070', '300059', '300015', '300003', '002739', '002736', '002714', '002600', '002558', '002493', '002475', '002456', '002450', '002415', '002310', '002252', '002241', '002236', '002202', '002142', '002120', '002044', '002027', '002024', '002010', '001979', '001965', '000895', '000776', '000725', '000617', '000166', '000069', '000063', '000039', '000002', '000001']
choice_symbols = ['601398']
# choice_symbols = ['600999']
choice_symbols = ['601398', '601988', '601939', '603993', '600999', '300059', '600900', '601328', '601288', '600887', '600029', '000002']
# choice_symbols = ['002285', '600109']
choice_symbols = None
abu_result_tuple, _ = abu.run_loop_back(read_cash,
buy_factors, sell_factors, stock_pickers, choice_symbols=choice_symbols,
n_folds=15, commission_dict=commission_dict)
print(abu_result_tuple.orders_pd)
# AbuMetricsBase.show_general(*abu_result_tuple, only_show_returns=False)
metrics = AbuMetricsBase(*abu_result_tuple)
metrics.fit_metrics()
# plot_simple = abu_result_tuple.orders_pd[abu_result_tuple.orders_pd.profit_cg < 0]
# save=True保存在本地，耗时操作，需要运行几分钟
# ABuMarketDrawing.plot_candle_from_order(abu_result_tuple.orders_pd, save=False)
# 筛出有交易结果的
orders_pd_atr = abu_result_tuple.orders_pd[abu_result_tuple.orders_pd.result != 0]
orders_pd_atr.filter(['buy_cnt', 'buy_pos', 'buy_price', 'profit', 'result'])
metrics.plot_returns_cmp()
# kl_pd = ABuSymbolPd.make_kl_df('601398', n_folds=15)
# plot_his_trade(abu_result_tuple.orders_pd, kl_pd)
# 保存交易结果
store_abu_result_out_put(abu_result_tuple)
metrics.plot_order_returns_cmp()
# metrics.plot_buy_factors()
metrics.plot_sell_factors()
# metrics.show_general(*abu_result_tuple, only_show_returns=True)
# metrics.plot_effect_mean_day()
# plt.show()
# metrics.plot_keep_days()
# plt.show()
metrics.plot_max_draw_down()
buy_factors,
sell_factors,
stock_pickers,
choice_symbols=choice_symbols,
n_folds=2)
ABuProgress.clear_output()
help(abu.run_loop_back)
from abupy import AbuMetricsBase
metrics = AbuMetricsBase(*abu_result_tuple)
metrics.fit_metrics()
metrics.plot_returns_cmp()
metrics.plot_sharp_volatility_cmp()
metrics.plot_effect_mean_day()
metrics.plot_keep_days()
metrics.plot_sell_factors()
metrics.plot_max_draw_down()
from abupy import ABuScalerUtil
class MetricsDemo(AbuMetricsBase):
"""扩展自定义度量类示例"""
def _metrics_extend_stats(self):
"""
子类可扩展的metrics方法，子类在此方法中可定义自己需要度量的值:
本demo示例交易手续费和策略收益之间的度量对比
"""
commission_df = self.capital.commission.commission_df
commission_df['commission'] = commission_df.commission.astype(float)
commission_df['cumsum'] = commission_df.commission.cumsum()
"""