Onepy is an event-driven algorithmic trading Python library.
更新日志:Change Log
1.x版本请查看OnePy 1.52
PS. 缓慢更新中~
Onepy is developed using Python 3.6.x. You can install by pip and make sure they are up-to-date
pip install pandas
pip install plotly
pip install funcy
pip install arrow
pip install pymongo
pip install dataclasses # 将在python 3.7中成为标准库
pip install OnePy_trader
pip install --upgrade OnePy_trader
# pip的OnePy_trader有可能有时不是最新,建议将库克隆到本地使用。
请参考examples中的Tutorial.
import OnePy as op from OnePy.builtin_module.recorders.stock_recorder import StockRecorder from OnePy.custom_module.cleaner_sma import SMA class SmaStrategy(op.StrategyBase): def __init__(self): super().__init__() self.sma1 = SMA(3, 40).calculate self.sma2 = SMA(5, 40).calculate self.sma3 = SMA(15, 40).calculate self.sma4 = SMA(30, 60).calculate def handle_bar(self): if self.sma1('000001') > self.sma2('000001'): self.buy(100, '000001', takeprofit=15, stoploss=100, trailingstop_pct=0.1) else: self.sell(100, '000001') if self.sma3('000001') < self.sma4('000001'): self.short_sell(100, '000001', takeprofit=15, stoploss=100, trailingstop_pct=0.1) else: self.short_cover(100, '000001') op.data_readers.MongodbReader( database='tushare', collection='000001', ticker='000001', fromdate='2017-05-25', todate='2018-03-09') SmaStrategy() op.RiskManagerBase() op.BrokerBase() StockRecorder().set_setting(initial_cash=100000, comm=1, comm_pct=None, margin_rate=0.1) go = op.OnePiece() go.logger.set_info(file=False) go.sunny() # go.output.show_setting() go.output.plot('000001') print(go.output.trade_log())
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| Final_Value | 99805ドル.90 |
| Total_return | -0.19410% |
| Max_Drawdown | 0.49000% |
| Duration | 359.0 |
| Sharpe_Ratio | -0.38212 |
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I'm very interested in your experience with Onepy.Please feel free to contact me via chenjiayicjy@gmail.com
Chandler_Chan