ARIA Strategy
Adaptive Risk Investment Allocation
Market-level returns with half the drawdown and 40% less time in the market
ARIA uses macroeconomic data to decide monthly whether to hold SPY, QQQ, IWM and EFA or step aside into cash. The result is a strategy that captured comparable equity returns since 2010 while cutting the worst peak-to-trough loss from -34% to -15%.
Backtest 2010 to present. Walk-forward test active since April 1, 2026.
Drawdown
Peak-to-trough declineEquity Exposure
Total equity allocation over timeCurrent Positions
Walk-Forward Test
ARIA vs SPY Buy & Hold
Full backtest period comparison:
| Metric | ARIA | SPY B&H |
|---|---|---|
| Total Return | -- | -- |
| CAGR | -- | -- |
| Volatility | -- | -- |
| Sharpe Ratio | -- | -- |
| Max Drawdown | -- | -- |
| Exposure | -- | 100% |
Why ARIA
Holding equities through every downturn means accepting drawdowns of 30% or more. ARIA monitors macroeconomic conditions across four equity segments (SPY, QQQ, IWM, EFA) and moves to cash when the data turns unfavorable. The goal is not to beat the market in every year but to avoid the worst losses.
Since 2010, the strategy delivered comparable total returns to buy-and-hold while spending roughly 40% of the time in cash. Maximum drawdown was less than half of SPY. That means less capital at risk for a similar outcome.
Monthly rebalancing, low turnover, no leverage. Transaction costs are included in all reported results. The model was validated through permutation testing, bootstrap analysis, and cross-validation before deployment.
Detailed Metrics
Statistical Validation
Before deployment, ARIA was subjected to a rigorous multi-phase validation framework based on peer-reviewed statistical methods. All tests were conducted on the fixed production strategy without post-hoc parameter tuning.
10,000 random position sequences with identical average market exposure were compared against the strategy. Only 1 in 10,000 matched the observed risk-adjusted return. Based on White (2000).
10,000 block bootstrap samples (6-month blocks) produce a 95% confidence interval for the Sharpe ratio that lies entirely above zero. Based on Politis & Romano (1994).
Combinatorial Purged Cross-Validation with 12-month embargo across 230 paths. Every single path produced a positive out-of-sample Sharpe ratio (median: 1.60).
Statistically significant alpha (t > 2.0) against all six benchmarks tested: buy-and-hold, balanced 60/40, equal weight, inverse volatility, momentum, and trend following.
Conditional Value at Risk (95th percentile) of the strategy is −4.7% per month, compared to −8.6% for the SPY benchmark. Worst observed month since 2010 was −7.4%.
All underlying data sources are market-based and final upon release. Revision-prone series were systematically excluded. Publication lag is applied to ensure no look-ahead bias.
Validation framework based on White (2000), Politis & Romano (1994), and Bailey & Lopez de Prado (2014). All tests were conducted on the fixed production strategy without post-hoc parameter tuning. Past statistical performance does not guarantee future results.
Walk-Forward Test Disclaimer: This strategy (ARIA) is currently in a walk-forward testing phase starting April 1, 2026. All performance data before this date represents backtested results using a strict out-of-sample methodology. Past performance, whether backtested or live, does not guarantee future results. Transaction costs are included. This implementation is for research and educational purposes only. The exact methodology is not disclosed.