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# Look-Ahead Bias

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  1. arXiv

    Web news often trails the move it reports: a multi-agent trading system aligns news judgments with event windows and finds a weekly rank correlation of 0.119

    A trading system for large language models reading Web financial news treats each news item as a testable unit and checks what its judgments mean against announcement-window abnormal returns and issuers' 8-K filings. The confirmatory reader emu's item judgments reach a weekly Spearman correlation of 0.119 (95% CI [0.098, 0.140]) with announcement-window abnormal returns, and event types agree with 8-K filings at AUC 0.833; measured from the first trade after publication, the correlation falls to 0.023, indicating that Web news often reports a price move already realized.

  2. arXiv

    Finance agents meet an open world: none of 150 sessions passes, and all 35 the simulated user approved fail a program check

    FinCosmos opens all three uncertainties of financial agent evaluation at once: a simulated investor reveals a hidden strategy only when asked, the agent must source its own Web data and backtest under a data cutoff, and programs verify the delivery instead of matching a reference answer. Across 150 sessions with four coding agents and a tool-free model, none is accepted, and all 35 sessions the simulated user signed off fail at least one program veto.

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