How do you tell a strategy is actually decaying vs just in a normal drawdown?
u/Historical_Blood_408 ·
Reddit — r/algotrading
· June 12, 2026 at 09:14
· ⬆ 16 pts
· 💬 7 comments
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Summary
The post discusses the challenge of differentiating between a trading strategy’s natural drawdown and actual decay (loss of edge).
The author proposes a statistical trigger: compare live drawdown depth/duration to the 95th percentile of the backtest distribution, and halve or kill the strategy if exceeded.
They also monitor trade-level metrics (avg win/loss, hit rate) independently from P&L to detect edge erosion early.
Quality assessment: This is a practical, well-reasoned methodological discussion, not a specific investment thesis. It qualifies as a thoughtful quant strategy management question, not noise.
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the part that gets me is both look identical for weeks. my current rule is i define the expected drawdown distribution from the backtest up front (depth and duration) and only halve size or kill it when live blows past ~the 95th percentile of that, not when it just feels bad. i also track whether the trade-level edge is still there (avg win/loss, hit rate) separately from pnl, because pnl can sit flat while the edge quietly erodes. still second-guess it constantly though. do you use a hard statistical trigger, a rolling sharpe cutoff, or mostly discretion?