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August 2, 2020 03:24
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backtesting.py ema strategy Backtest.optimize
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n1=list(range(5, 20)) | |
n2=list(range(15, 30)) | |
stats = bt_ema.optimize(n1=n1, n2=n2, | |
maximize='Equity Final [$]', constraint=lambda p: p.n1 < p.n2) | |
print(stats) | |
Start 2015-01-01 00:00:00 | |
End 2020-07-30 00:00:00 | |
Duration 2037 days 00:00:00 | |
Exposure [%] 98.3309 | |
Equity Final [$] 102.75 | |
Equity Peak [$] 125.776 | |
Return [%] 10175 | |
Buy & Hold Return [%] 2969.48 | |
Max. Drawdown [%] -46.1918 | |
Avg. Drawdown [%] -10.5397 | |
Max. Drawdown Duration 260 days 00:00:00 | |
Avg. Drawdown Duration 32 days 00:00:00 | |
# Trades 92 | |
Win Rate [%] 35.8696 | |
Best Trade [%] 253.563 | |
Worst Trade [%] -14.4748 | |
Avg. Trade [%] 8.04839 | |
Max. Trade Duration 116 days 00:00:00 | |
Avg. Trade Duration 22 days 00:00:00 | |
Expectancy [%] 14.6598 | |
SQN 1.34727 | |
Sharpe Ratio 0.235095 | |
Sortino Ratio 2.36271 | |
Calmar Ratio 0.174238 | |
_strategy EmaCrossStrategy(n1=6,n2=16) | |
dtype: object |
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