RISK-01

Drawdown Control

Monitors portfolio drawdown in real-time. When drawdown exceeds threshold, reduces position proportionally. Similar to CPPI dynamic insurance. Can be used as overlay on any strategy.

Risk ManagementDefensiveOverlay

At a glance

Best onAny underlying strategy
Signal frequencyDaily
Typical holding periodDays
Asset classesIndex, Commodity, FX
Markets tested10
Data through2026-11-10

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 6 of 10 markets.
  • Best market by Sharpe ratio: GLD (Sharpe 1.00, CAGR 16.2%).
  • Weakest market: UNG (Sharpe -0.32, CAGR -10.7%).

Equity curve

0.522.785.047.299.55 201020122014201620182020202220242026
Drawdown Control Buy & hold · SPY, 2010-01-04 → 2026-11-10, growth of 1

Score and risk profile

Arena Score: 68.9SPY, 5 years
Return quality · 30%78
Drawdown control · 25%28
Consistency · 20%79
Robustness · 15%90
Significance · 10%92

Each bar is a percentile against every strategy on the same market and window (100 = best).

How it held up in sell-offs (SPY)

PeriodStrategyBuy & hold
Q4 2018 sell-off-18.3%-19.2%
COVID crash (Feb–Mar 2020)-27.8%-33.7%
2022 bear market-23.9%-24.5%
Market above its 200-day average (annualized) · 81%+12.5%+12.5%
Market below its 200-day average (annualized) · 19%+6.3%+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)

CheckValue
Chosen parameters on their 3-year training windows (average Sharpe)0.88
Same parameters in the following 6 months, when traded (Sharpe)0.87
Default parameters over the same months (Sharpe)0.86
Parameter re-selections / changes28 / 6
Parameter settings with a positive Sharpe (full history)9 of 9
Sharpe across settings: worst / median / best0.78 / 0.79 / 0.80

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)

MarketCAGRBuy & hold CAGRSharpeMax drawdownBuy & hold max DDVolatilityArena Score
GLDSPDR Gold Shares16.2%16.4%1.00-24.4%-28.3%16.7%72
SLViShares Silver Trust16.6%15.2%0.71-35.6%-57.8%27.8%75
DBAInvesco DB Agriculture8.3%8.8%0.67-16.2%-15.9%13.4%77
SPYSPDR S&P 5008.7%11.6%0.63-25.8%-24.5%14.8%69
DBCInvesco DB Commodity Index8.6%10.8%0.55-31.8%-27.3%17.2%69
BTC-USDBitcoin14.6%2.6%0.47-35.8%-75.9%27.0%82
USOUnited States Oil Fund4.3%20.2%0.27-50.9%-36.2%30.9%43
ETH-USDEthereum-6.0%-15.1%-0.04-50.8%-79.0%26.1%36
EURUSD=XEUR/USD-0.9%-0.7%-0.09-15.6%-17.2%7.0%38
UNGUnited States Natural Gas-10.7%-30.7%-0.32-59.1%-93.3%25.3%35

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

WindowTotal returnCAGRSharpeSortinoMax DDWin daysTrades
1 year+11.1%11.1%0.951.30-8.9%52%3
3 years+71.3%19.7%1.331.66-18.4%57%18
5 years+51.9%8.7%0.630.83-25.8%53%235
Full history+508.3%11.3%0.800.97-28.0%55%460

Rules

Entry

Full position when drawdown < threshold
Reduce by scale factor when drawdown exceeds

Exit

Gradually restore as drawdown recovers

Indicators

Rolling maximum price
Current drawdown

Inputs

Max_Drawdown = 0.10
Scale = 0.5
Recovery_Threshold = 0.5

Position sizing

Dynamic based on drawdown

Risk controls

Hard drawdown limit

Strategy evidence

Only available, validated bundles appear below. Missing evidence is not a passing validation result.

Evidence coverage

10 / 10 declared strategy–market pairs validated

Notes

  • Protects against tail risk
  • May reduce returns in V-shaped recoveries
  • Similar to constant proportion portfolio insurance

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.

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