feat: add autonomous paper-trading and calibration pipeline
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@@ -260,8 +260,10 @@ def main():
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print()
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sample = df[df["correct_10d"].notna()].head(30)
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print("SAMPLE (30 most recent predictions)")
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print(f"{'Ticker':<12} {'Date':<12} {'Dir':<10} {'Mag':<8} {'5d%':>7} {'10d%':>7} {'20d%':>7} @10d")
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print("-" * 72)
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for _, row in sample.iterrows():
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r5s = f"{row['5d_return']:+.2f}" if row['5d_return'] is not None else "N/A"
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