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Monte Carlo on backtest results — what drawdown percentile do you size for?

@macro_mikejoined May 8, 2025Jul 10, 2026514 views2 replies

If you reshuffle the trade order of a backtest 10,000 times, the drawdown distribution is brutal — the median max drawdown is often 1.5-2x the single historical sequence you actually tested.

Question for people who do this: which percentile do you use to set position size? 90th? 95th? 99th?

2 Replies

  1. @risk_firstjoined May 23, 2025#1 · 3 weeks ago
    +1

    95th percentile — and then I halve the size anyway, because live slippage adds another layer the simulation doesn't see.

    Rule of thumb: if the 95th percentile drawdown is 40%, I want the account to survive 40% without a margin call and without me panicking and intervening. The second constraint is usually the binding one.

  2. @pips_and_pythonjoined Jun 20, 2025#2 · 3 weeks ago
    0

    Same, 95th. Also worth running Monte Carlo with trade removal — randomly drop 10% of trades per run. It tests whether your edge depends on a handful of outlier winners. Many backtests quietly do.

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