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Portfolio Strategy

ARIA

Walk-forward

Adaptive Risk Investment Allocation

Rebalancing
Monthly
Universe
5 ETFs
As of
...
--
Annualized Return
--
Max Drawdown
SPY: -33.7%
--
Sharpe Ratio
SPY: 0.89
--
Avg. Exposure
Rest in cash
--
Current Position

Backtest 2010 to present. Walk-forward test active since April 1, 2026.

The Strategy

ARIA (Adaptive Risk Investment Allocation) manages risk independently across four equity segments: US large cap, US technology, US small cap, and international developed markets. Each segment is assessed on its own, and when conditions for a segment deteriorate, that position moves to cash while the others can stay invested.

The result is a portfolio that scales down total equity exposure as aggregate risk rises and scales back up when conditions are favorable. Rather than an all-or-nothing equity call, it can hold one or two segments while stepping out of others. The model is fully rules-based with no discretionary input.

Walk-Forward Test Active Starting April 1, 2026, this strategy is being tested with market data in a walk-forward framework. All historical data before this date represents backtested performance.

How It Works

At each month-end, ARIA re-assesses each equity segment with a quantitative model and sets each one to invested or cash for the month ahead.

The dashboard displays both backtested and walk-forward performance. The shaded area marks April 1, 2026, the start of the walk-forward test. Data to the left is historical backtesting; data to the right is hypothetical out-of-sample performance.

4
Equity ETFs
Binary
Long / Flat per Segment
Monthly
Rebalancing

Simulation Settings

Set your start date and initial capital. ARIA applies independent risk management across four equity segments with monthly rebalancing.

Model Performance

Drawdown

Peak-to-trough decline

Equity Exposure

Total equity allocation over time

Current Positions

SPY
S&P 500
--
QQQ
Nasdaq 100
--
IWM
Russell 2000
--
EFA
Int'l Developed
--
Model Confidence Score
--

Walk-Forward Test

-- days live
--
Model Return
--
SPY B&H
--
vs Benchmark
--
Data Points

ARIA vs SPY Buy & Hold

Full backtest period comparison:

Metric ARIA SPY B&H
Total Return----
CAGR----
Volatility----
Sharpe Ratio----
Max Drawdown----
Exposure--100%

Crisis Performance

Strategy behavior during major market downturns:

Crisis ARIA SPY
2020 Covid---34%
2022 Bear---25%

Detailed Metrics

Model Value
--
--
YTD Return
--
SPY: --
Volatility
--
Sharpe Ratio
--
Sortino Ratio
--
Max Drawdown
--
Calmar Ratio
--
Beta vs SPY
--
VaR (95%)
--
Exposure
--
Up Capture
--
Down Capture
--

Strategy Health Monitor

Live drift detection and alpha decay tracking

Drift Detection

Detects structural shifts in performance

...
Drift level 0%
0% 50% watch 80% warn 100% alert

Alpha Decay Monitor

Risk-adjusted return, 12 vs 36 months

...
12M Sharpe
--
36M Sharpe
--
12M Alpha
--
Decay Slope
--

The left panel flags structural shifts in performance against expectations. The right panel compares recent risk-adjusted returns with the longer-run track record. A weakening trend points to a fading edge.

Statistical Validation

Before deployment, ARIA was validated with a battery of standard statistical robustness tests. All tests used the fixed production strategy without post-hoc parameter tuning.

Permutation Test passed
p < 0.001

10,000 random position sequences with identical average market exposure. Only 1 in 10,000 matched the observed risk-adjusted return.

Bootstrap passed
CI: 1.10 – 2.13

10,000 bootstrap samples produce a 95% confidence interval for the Sharpe ratio entirely above zero.

Out-of-Sample passed
100%

Every out-of-sample split produced a positive Sharpe ratio, with a median of 1.60.

Benchmark Attribution passed
6 / 6

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.

Tail Risk passed
−4.7%

CVaR (95th percentile) is −4.7% per month, compared to −8.6% for SPY. Worst observed month since 2010 was −7.4%.

Data Integrity verified
Verified

Inputs are processed to prevent look-ahead bias, so backtested and live results stay directly comparable.

All tests conducted on the fixed production strategy. Past statistical performance does not guarantee future results.