Momentum Crash Protection
Follows momentum but monitors the momentum factor's own drawdown. When momentum is experiencing a crash (reversal), reduces position size to protect against momentum crashes that historically cause severe losses.
At a glance
What the backtest shows
- Beat buy-and-hold on 4 of 10 markets by annual return over 5 years.
- Had a smaller maximum drawdown than buy-and-hold on 7 of 10 markets.
- Best market by Sharpe ratio: GLD (Sharpe 0.78, CAGR 10.7%).
- Weakest market: ETH-USD (Sharpe -0.76, CAGR -9.8%).
Equity curve
Score and risk profile
Each bar is a percentile against every strategy on the same market and window (100 = best).
How it held up in sell-offs (SPY)
| Period | Strategy | Buy & hold |
|---|---|---|
| Q4 2018 sell-off | -12.5% | -19.2% |
| COVID crash (Feb–Mar 2020) | -21.2% | -33.7% |
| 2022 bear market | -14.3% | -24.5% |
| Market above its 200-day average (annualized) · 81% | +9.7% | +12.5% |
| Market below its 200-day average (annualized) · 19% | -2.3% | +19.8% |
Sell-off dates follow the US stock market. Above/below the 200-day average uses the previous day's position, so there is no look-ahead.
Out-of-sample check (SPY)
| Check | Value |
|---|---|
| Chosen parameters on their 3-year training windows (average Sharpe) | 0.76 |
| Same parameters in the following 6 months, when traded (Sharpe) | 0.78 |
| Default parameters over the same months (Sharpe) | 0.65 |
| Parameter re-selections / changes | 28 / 12 |
| Parameter settings with a positive Sharpe (full history) | 9 of 9 |
| Sharpe across settings: worst / median / best | 0.53 / 0.55 / 0.62 |
Out-of-sample periods start on 2013-01-04. Training-window figures are flattered by picking the best of 9 settings; the out-of-sample figure is what the strategy actually earned. A large drop, or a result that depends on one setting, points to overfitting. How walk-forward testing works.
Results by market (5 years)
| Market | CAGR | Buy & hold CAGR | Sharpe | Max drawdown | Buy & hold max DD | Volatility | Arena Score |
|---|---|---|---|---|---|---|---|
| GLDSPDR Gold Shares | 10.7% | 16.4% | 0.78 | -24.5% | -28.3% | 14.5% | 49 |
| SLViShares Silver Trust | 13.7% | 15.2% | 0.78 | -30.1% | -57.8% | 19.1% | 72 |
| SPYSPDR S&P 500 | 6.9% | 11.6% | 0.58 | -20.3% | -24.5% | 12.7% | 61 |
| BTC-USDBitcoin | 4.4% | 2.6% | 0.24 | -38.1% | -75.9% | 20.1% | 45 |
| DBAInvesco DB Agriculture | 1.7% | 8.8% | 0.22 | -19.5% | -15.9% | 10.3% | 34 |
| DBCInvesco DB Commodity Index | 2.1% | 10.8% | 0.21 | -29.7% | -27.3% | 13.0% | 27 |
| UNGUnited States Natural Gas | -0.7% | -30.7% | 0.07 | -33.6% | -93.3% | 19.6% | 75 |
| USOUnited States Oil Fund | -2.5% | 20.2% | -0.02 | -42.4% | -36.2% | 23.1% | 24 |
| EURUSD=XEUR/USD | -0.4% | -0.7% | -0.07 | -7.4% | -17.2% | 3.9% | 54 |
| ETH-USDEthereum | -9.8% | -15.1% | -0.76 | -41.3% | -79.0% | 9.1% | 12 |
Strategy metrics use daily returns without trading costs. Buy-and-hold figures are for the same market and window. Rows are sorted by Sharpe ratio.
SPY across time windows
Rules
Entry
Momentum positive Scale by momentum drawdown
Exit
Momentum negative or severe drawdown
Indicators
12-month momentum Momentum factor drawdown Rolling high of momentum signal
Inputs
Mom_Lookback = 252 DD_Threshold = 0.10 Scale_Factor = 0.5
Position sizing
Full position if no drawdown Scaled if momentum crashing
Risk controls
Exit completely if drawdown > 20%
Strategy evidence
- BTC-USD · Inspect evidence 2026-11-10
- DBA · Inspect evidence 2026-11-10
- DBC · Inspect evidence 2026-11-10
- ETH-USD · Inspect evidence 2026-11-10
- EURUSD=X · Inspect evidence 2026-11-10
- GLD · Inspect evidence 2026-11-10
- SLV · Inspect evidence 2026-11-10
- SPY · Inspect evidence 2026-11-10
- UNG · Inspect evidence 2026-11-10
- USO · Inspect evidence 2026-11-10
Only available, validated bundles appear below. Missing evidence is not a passing validation result.
Evidence coverage
10 / 10 declared strategy–market pairs validated
Notes
- Momentum crashes are rare but severe
- Protection during reversals
- Re-enter after crash subsides
Related strategies
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Backtests are historical simulations on daily data and do not include commissions or slippage. They do not guarantee future results and are not investment advice. See the methodology for how every strategy is tested.