MACRO-03

Flight to Quality

Monitors equity market stress via drawdown and volatility. During normal times, holds risk assets. When stress indicators trigger, shifts allocation to safe haven assets like gold. Dynamic equity-to-safe-haven allocation.

MacroRisk ManagementSafe Haven

At a glance

Best onMixed risk/safe-haven asset pool
Signal frequencyDaily
Typical holding periodDays to weeks
Asset classesIndex, Commodity, FX
Markets tested1
Data through2026-11-10

What the backtest shows

  • Beat buy-and-hold on 0 of 1 markets by annual return over 5 years.
  • Had a smaller maximum drawdown than buy-and-hold on 1 of 1 markets.
  • Best market by Sharpe ratio: SPY (Sharpe 0.56, CAGR 8.8%).

Equity curve

0.641.612.573.544.51 2017201820192020202120222023202420252026
Flight to Quality Equal-weight basket · SPY, 2017-11-09 → 2026-11-10, growth of 1

Score and risk profile

Arena Score: 54.9SPY, 5 years
Return quality · 30%72
Drawdown control · 25%45
Consistency · 20%50
Robustness · 15%21
Significance · 10%90

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-0.3%-13.9%
COVID crash (Feb–Mar 2020)-8.6%-25.5%
2022 bear market-7.6%-9.1%
Market above its 200-day average (annualized) · 67%+17.2%+20.1%
Market below its 200-day average (annualized) · 33%+14.3%+8.7%

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)1.21
Same parameters in the following 6 months, when traded (Sharpe)0.98
Default parameters over the same months (Sharpe)1.11
Parameter re-selections / changes12 / 4
Parameter settings with a positive Sharpe (full history)9 of 9
Sharpe across settings: worst / median / best0.89 / 1.00 / 1.03

Out-of-sample periods start on 2020-11-09. 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
SPYSPDR S&P 5008.8%9.1%0.56-21.0%-25.1%17.2%55

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-7.0%-7.0%-0.15-0.19-20.3%49%5
3 years+51.9%14.9%0.831.17-20.3%52%14
5 years+52.3%8.8%0.560.83-21.0%51%19
Full history+284.7%16.1%0.931.30-25.7%52%40

Rules

Entry

Normal: risk assets
Stress: safe haven

Exit

Stress subsides after recovery period

Indicators

Equity drawdown
Realized volatility
Stress indicator

Inputs

DD_Trigger = 0.05
Vol_Trigger = 0.25
Recovery_Days = 10

Position sizing

100% allocation to chosen regime

Risk controls

Gradual transition back to risk

Strategy evidence

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

Evidence coverage

1 / 1 declared strategy–market pairs validated

Notes

  • Fast exit from risk during stress
  • Slow re-entry to avoid whipsaws
  • Gold typically rallies in crises

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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