Quant strategy backtests, lowest drawdown first

Every strategy here was re-run with its current code on historical prices, and the table lists them from the shallowest maximum drawdown to the deepest. A high CAGR with a 50% drawdown is a different risk from the same CAGR with a 15% drawdown, so drawdown comes first and the return-to-drawdown ratio sits next to it. Backtests that stopped trading partway, returned nothing, or cover less than three years are left out rather than shown with an inflated annual rate.

Backtest (historical simulation, 2016–2026)
#StrategyWorst drop (max drawdown)Risk tierYearly growth (CAGR)Return per unit of risk (Sharpe)Return ÷ drawdownPeriod
1Dynamic Factor Strength Strategy-24.1%Moderate drawdown+18.0%0.970.752016–2026
2Velocity Strength Filter-27.4%High drawdown+17.7%0.840.652016–2026
3Tactical Leveraged Trend Rotation-29.4%High drawdown+18.2%0.840.622016–2026
4Fifty-Two Week High Leaderboard-34.5%High drawdown+16.1%0.730.472016–2026
5Growth-Value Style Selection-35.0%High drawdown+29.5%0.970.842016–2026
6Kaufman Efficiency Index Strategy-48.6%Very high drawdown+25.1%0.860.522016–2026

Backtest = historical simulation on past prices, not real trading.

Re-run 2026-10-08.

How to read the table

Max drawdown is the worst fall from a previous high: the size of the loss you would have had to sit through. CAGR is the annual rate that compounds the start value into the end value. Return ÷ drawdown divides the two, so a strategy that earned 15% a year with a 15% worst fall scores 1.0, and one that earned 30% with a 60% fall scores 0.5. Sharpe measures return per unit of day-to-day volatility. A backtest is a simulation of rules on past prices, so read these numbers as evidence about how a rule behaved, not as a forecast.

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Retired strategies: taken off this list after review, with the reason

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Disclosure. Backtests are hypothetical simulations on historical data. They do not include every real-world cost, are not live results, and do not guarantee future returns. Educational research only, not investment advice.