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fix daily profit data and daily profit curve example
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@ -272,7 +272,7 @@ def generate_daily_stats(results: DataFrame) -> Dict[str, Any]:
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winning_days = sum(daily_profit > 0)
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winning_days = sum(daily_profit > 0)
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draw_days = sum(daily_profit == 0)
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draw_days = sum(daily_profit == 0)
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losing_days = sum(daily_profit < 0)
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losing_days = sum(daily_profit < 0)
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daily_profit_list = daily_profit.tolist()
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daily_profit_list = [(str(idx.date()), val) for idx, val in daily_profit.iteritems()]
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return {
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return {
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'backtest_best_day': best_rel,
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'backtest_best_day': best_rel,
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@ -215,13 +215,18 @@
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"stats = load_backtest_stats(backtest_dir)\n",
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"stats = load_backtest_stats(backtest_dir)\n",
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"strategy_stats = stats['strategy'][strategy]\n",
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"strategy_stats = stats['strategy'][strategy]\n",
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"\n",
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"\n",
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"dates = []\n",
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"profits = []\n",
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"for date_profit in strategy_stats['daily_profit']:\n",
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" dates.append(date_profit[0])\n",
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" profits.append(date_profit[1])\n",
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"\n",
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"equity = 0\n",
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"equity = 0\n",
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"equity_daily = []\n",
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"equity_daily = []\n",
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"for dp in strategy_stats['daily_profit']:\n",
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"for daily_profit in profits:\n",
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" equity_daily.append(equity)\n",
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" equity_daily.append(equity)\n",
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" equity += float(dp)\n",
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" equity += float(daily_profit)\n",
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"\n",
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"\n",
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"dates = pd.date_range(strategy_stats['backtest_start'], strategy_stats['backtest_end'])\n",
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"\n",
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"\n",
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"df = pd.DataFrame({'dates': dates,'equity_daily': equity_daily})\n",
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"df = pd.DataFrame({'dates': dates,'equity_daily': equity_daily})\n",
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"\n",
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"\n",
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