US stocks & ETFs strategy backtests, lowest drawdown first

These strategies trade US-listed stocks and ETFs, including 3x leveraged index ETFs such as TQQQ and UPRO with Treasury, gold or cash ETFs as the defensive side. Most of them switch between a growth sleeve and a defensive sleeve on a trend or momentum signal, so the drawdown they report is mostly the cost of the signal being late, not the full fall of the leveraged fund itself.

6 strategies. Median max drawdown 32.0%, median CAGR 18.1%. Shallowest drawdown: Dynamic Factor Strength Strategy (-24.1%). Highest return per unit of drawdown: Growth-Value Style Selection (0.84).

By strategy type: Momentum rotation 3, Factor 2, Trend following 1.

Max drawdown →CAGR ↑0%49%30%

Each dot is one strategy: further left is a shallower worst fall, higher up is a higher annual rate. The upper-left corner is where return came with the least drawdown.

Backtests, lowest drawdown first

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.

Head-to-head comparisons

Frequently asked questions

Which US stocks & ETFs strategy had the lowest drawdown?

Dynamic Factor Strength Strategy, with a worst fall of -24.1% and a CAGR of +18.0% from 2016-10-24 to 2026-10-05.

Which US stocks & ETFs strategy earned the most per unit of drawdown?

Growth-Value Style Selection: +29.5% CAGR against a -35.0% max drawdown, a return-to-drawdown (Calmar) ratio of 0.84.

Are these live trading results?

No. Each number comes from re-running the strategy's current code on historical prices. Backtests leave out some real costs and do not predict future returns.

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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.