domains / families / business / simons-quant

simons-quant

separate

Use when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and model risk.

When to use

• Quant strategy design or review
• Signal research, factor testing, and backtest critique
• Statistical arbitrage and many-small-edges portfolio thinking
• Whether a trading rule is robust or overfit

When not to use

• Trusting in-sample backtests
• Ignoring transaction costs
• Confusing correlation with durable edge
• Deploying before data leakage checks

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