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    <description>Honest quant research: how to tell a real trading edge from a statistical mirage. Education and data-journalism only.</description>
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    <lastBuildDate>Mon, 14 Jul 2026 00:00:00 GMT</lastBuildDate>

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      <title>Why most backtested trading edges are statistical mirages</title>
      <link>https://therefutation.com/essays/statistical-mirages-in-trading/</link>
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      <pubDate>Mon, 14 Jul 2026 00:00:00 GMT</pubDate>
      <description>Search enough parameters across enough assets and something always looks profitable. How backtest overfitting manufactures fake edges — and the honest out-of-sample tests that expose them.</description>
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      <title>Survivorship bias in backtesting, explained</title>
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      <pubDate>Mon, 14 Jul 2026 00:00:00 GMT</pubDate>
      <description>Survivorship bias makes backtests look more profitable and less risky than reality. How it sneaks in — and how to strip it out.</description>
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      <title>10 signs your trading strategy is overfit</title>
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      <pubDate>Mon, 14 Jul 2026 00:00:00 GMT</pubDate>
      <description>A smooth equity curve, a Sharpe above 3, a magic parameter value, profit that vanishes without its top trades. Ten concrete tells that a backtested strategy is overfit.</description>
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      <title>Out-of-sample testing: the harness that kills most edges</title>
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      <pubDate>Mon, 14 Jul 2026 00:00:00 GMT</pubDate>
      <description>Two tiers, next-bar fills, netted fees, and Leave-One-Regime-Out validation. The harness that decides whether an idea gets a dollar or a headstone.</description>
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