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  1. llm-trading-arena llm-trading-arena Public

    LLMs paper-trade $100k each. Live leaderboard. Who's the best AI trader?

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    Screen quant/ML feature pipelines for look-ahead bias from late-arriving data: measure each signal's leakage susceptibility and gate release until the cross-section is safe. Python, MIT.

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    Are public quant datasets point-in-time safe? Reproducible look-ahead-bias screens: OSAP (Chen-Zimmermann), JKP Global Factor Data, raw SEC EDGAR as-filed panels, feature-store as-of joins.

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    Five-point pledge + badge for point-in-time data hygiene: declare that your ML pipeline's features don't peek at late-arriving data. Self-declared, no gatekeeping.