Why a 100% trading win rate can be a misleading and dangerous metric

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A developer running automated crypto trading bots in paper mode observed one bot close 34 consecutive trades without a single loss, achieving a perfect win rate. However, the result was an artifact of the strategy's design: it scales into losing positions to lower the average entry price and never closes a trade at a loss, meaning losing positions simply stay open indefinitely. This approach masks real risks including locked capital, prolonged drawdowns lasting up to 121 days in backtests, and severe tail risk if an asset never recovers. The developer argues that win rate is a vanity metric for such strategies and instead evaluates bots using a minimum of 100 trades, survival through at least one market correction, and drawdown analysis via Monte Carlo simulation. The broader lesson, they note, applies to any autonomous system: flattering metrics often conceal failure modes that only surface when it is too late.

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