DaM
f85c522f22
- Implemented portfolio engine with risk-based allocation (50/50) - Added equity-based metrics for system-level evaluation - Validated portfolio against standalone strategies - Reduced max drawdown and volatility at system level - Quantitative decision closed before paper trading phase
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
# tests/test_wf_visualizer.py
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import sys
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from pathlib import Path
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import pandas as pd
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# Añadir raíz del proyecto al path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from src.core.visualizers.walk_forward_visualizer import WalkForwardVisualizer
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def test_wf_visualizer():
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"""
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Test del WalkForwardVisualizer usando los CSV existentes
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"""
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base_path = Path("backtest_results/walkforward")
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summary_df = pd.read_csv(base_path / "walkforward_summary.csv")
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windows_df = pd.read_csv(base_path / "walkforward_windows.csv")
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viz = WalkForwardVisualizer(
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summary_df=summary_df,
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windows_df=windows_df,
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name="BTC/USDT – MA + ADX"
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)
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# 📊 Plots
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viz.plot_avg_metrics()
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viz.plot_returns_by_window()
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viz.plot_drawdown_by_window()
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viz.plot_return_distribution()
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viz.plot_parameter_stability("fast_period")
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viz.plot_parameter_stability("slow_period")
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viz.plot_parameter_stability("adx_threshold")
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if __name__ == "__main__":
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test_wf_visualizer()
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