Every metric, tested against a baseline.
Here's what survived.
We ran ~90 across 3 discovery runs candidate metrics through a rigorous incremental information coefficient gate. 4 passed. The failures are shown too — that's what honest validation looks like.
What a metric must prove
Method: partial Spearman Information Coefficient (incremental IC)
Controlling for the naive baseline, the metric must add incremental_ic >= 0.05 with p < 0.05. Incremental IC = partial Spearman rank-correlation of the signal vs forward target, residualised on the naive baseline.
Dataset: ~10y daily prices, 8-9 tickers (SPY, QQQ, AAPL, MSFT, NVDA, AMZN, GOOGL, META + others), ~22,793 observations
Gate as of 2026-06-17. Data fetched live from the ADW validation API at build time (2026-06-21).
11 metrics on the board
Passed rows are shown first. Failed rows follow — we publish them because hiding negative results would defeat the purpose of having a gate.
Passed the gate (4)
| Metric | Target | Baseline IC | Incr. IC | p-value | Result |
|---|---|---|---|---|---|
| Entropy-Weighted CUSUM Volatility Signal (EWC) ADW-101 | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.125 | < 1e-10 | PASS |
| Tail Probability Shift (TPS) ADW-102 | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | -0.095(flip) | < 1e-10 | PASS |
| Local Tail Variance Ratio (LTVR) ADW-105 | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.058 | 7.20e-9 | PASS |
| Tail Mean Difference (TMD) ADW-106 | forward 5-day return vs. 20-day momentum | — | 0.054 | 1.00e-7 | PASS |
Did not pass (7)
| Metric | Target | Baseline IC | Incr. IC | p-value | Result |
|---|---|---|---|---|---|
| Geometric Autocorrelation (GAC) CAND-GAC | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.023 | 0.0073 | FAIL |
| H-KER (Hurst-Kernel Entropy Ratio) CAND-H-KER | forward 5-day return vs. 20-day momentum | — | — | 0.3040 | FAIL |
| OUV (Ornstein-Uhlenbeck Volatility) CAND-OUV | forward 5-day return vs. 20-day momentum | — | — | 0.2310 | FAIL |
| EHA (Entropy-Hurst Asymmetry) CAND-EHA | forward 5-day return vs. 20-day momentum | — | — | 0.7100 | FAIL |
| Tail Concentration Ratio CAND-R1-TCR | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.019 | 0.0610 | FAIL |
| Median Absolute Deviation Ratio CAND-R2-MADR | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.013 | 0.2100 | FAIL |
| Fractal Hurst CAND-R2-FH | forward 5-day realized volatility vs. trailing-20d realized volatility | 0.691 | 0.004 | 0.7200 | FAIL |
What this means for you
Failures included
Any vendor can cherry-pick winners. We publish every candidate we ran, including the ones that looked good on raw IC but failed the incremental gate.
Not just "significant"
We control for the naive baseline. A metric that correlates with a simple moving average adds no value — it has to add incremental signal beyond what you already have.
API-backed
This page is rebuilt from the live validation API. When new candidates are tested or results are updated, the scoreboard reflects it automatically.
See the full methodology
Understand how we build, validate, and govern intelligence products — and how the validated metrics become agent-callable objects.