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The Backtesting Illusion: Why Historical Data Doesn't Predict Real Trading

과거 데이터는 미래를 보장하지 않는다: 백테스팅의 숨겨진 오류들

Why it matters

Backtesting is often misunderstood as a performance guarantee rather than a historical verification tool. The critical flaw lies in unrealistic assumptions—simplified matching engines, insufficient data granularity, and missing transaction costs—that systematically overstate strategy returns compared to live trading. For quantitative traders, understanding these limitations is crucial before deploying capital.

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BacktestingData GranularityMatching EngineTick DataOverfittingLook-ahead Bias

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