Loading…

What are the odds the US market turns risk-off within 21 sessions?

Regime Model — P(risk-off, 21 sessions) (M-025). Short answer: the hub rates it FIT WITH CONDITIONS.

Data as of .

The verdict

FIT WITH CONDITIONS as a context probability (champion B1). M1 and the HMM/mixture models are NOT FIT as predictors; the HMM-3 state is descriptive only.

Development summary: No regime model (HMM 2/3, mixture 2/3) beats the logistic baseline out of sample; a 2-input persistence logistic beats all (skill 0.12, AUC 0.71, slope 1.04) and is published.

What the review allows

  • B1's p_riskoff_21d as a calibrated context read of the 21-session risk-off odds as defined.
  • The walk-forward and hold-out comparison as the honest record of the regime-model race.

What the review rules out

  • Read it as a drawdown or crash forecast (SPY-leg AUC 0.59).
  • Size positions or gate strategies from it, or from the HMM state.
  • Quote M1–M5 probabilities as forecasts; apply it outside US SPY/VIX.

What it predicts

ItemDetail
Question it answersOdds that SPY is 5% lower, or VIX above its 1-year 80th percentile, 21 sessions from now.
MethodPersistence logistic vs HMM/GMM
How it works2-input persistence logistic; beat HMM/mixture rivals
InputsVIX percentile in trailing year, SPY 21-session return, HMM-3 state (descriptive)
OutputProbability 0–1 (history 0.07–0.59), level-valid; state label descriptive
Horizon21 sessions
CoverageUS market state (one number per day), 2000-01 → today
MarketsUS
Model typeModel · ML/Stat
StageContext-only (validated FIT WITH CONDITIONS; scored nightly since 2026-10-17, not yet shown on a tab)
Versionv1, first recorded 16 Oct 2026

Validation evidence

Training data: 2000-01→2023-12. Test data: 2007-01→2026-09. Out-of-sample design: walk-forward yearly + hold-out.

Headline results from the model's development record, as the hub publishes them.
MeasureResultCompared withNote
Persistence logistic (B1)Brier 0.157, AUC 0.71base rate 0.179skill CI 0.06–0.18
11-input logistic (M1)Brier 0.173, AUC 0.62B1B1 better, BH q 0.053
Best regime model (HMM-3)Brier 0.169, AUC 0.55M1not better, BH q 0.79
Hold-out 2024-26 (B1)skill 0.08, AUC 0.69base rate8 episodes, CI -0.04–0.17
The hub's standard metrics for this model class (only those the record measured).
MetricSample / windowCompared withValueRange (CI)
Brier score (headline)WF 2007–23 (17 yearly folds)0.17870.157[0.1303, 0.1847]
AUCWF 2007–23 (17 yearly folds)11-input logistic 0.624; HMM-3 0.5490.7118[0.6537, 0.7595]
Brier skillWF 2007–23 (17 yearly folds)00.1209[0.0556, 0.1813]

What the validation review found

Is the design sound? The label is relative (VIX against its trailing year) while HMM/mixture states are absolute fear levels; persistence is the right benchmark for a persistent label and it wins. Readout from filtered probabilities is causal.

Data quality. TradingView bars from the local store; same-session SPY/VIX, FRED +1 business day, FX next session; 100% coverage after 2000-01-03; S5TH (monthly pre-2007) replaced before fitting.

Backtest. Expanding yearly walk-forward with label purge, 17 development folds and a one-shot hold-out; block bootstrap (63), Newey-West (42), month clusters, largest p, BH.

Calibration. B1 ECE 0.022, slope 1.04, intercept -0.05: level-valid in 0.07–0.59 and rank-valid (AUC 0.71); M1–M5 neither (slopes 0.48–0.71).

Limitations

Questions

Is the Regime Model — P(risk-off, 21 sessions) validated?
Its validation review dated 16 Oct 2026 rated it FIT WITH CONDITIONS as a context probability (champion B1). M1 and the HMM/mixture models are NOT FIT as predictors; the HMM-3 state is descriptive only.
What does the Regime Model — P(risk-off, 21 sessions) predict?
It answers: Odds that SPY is 5% lower, or VIX above its 1-year 80th percentile, 21 sessions from now. Output: Probability 0–1 (history 0.07–0.59), level-valid; state label descriptive. Horizon: 21 sessions. Coverage: US market state (one number per day), 2000-01 → today.
How was the Regime Model — P(risk-off, 21 sessions) tested?
Training data 2000-01→2023-12, test data 2007-01→2026-09, out-of-sample design: walk-forward yearly + hold-out. OOT Brier skill (WF 2007-23): 0.12 (CI 0.06–0.18); OOT AUC (WF 2007-23): 0.71 vs 0.62 for the 11-input logistic; HMM / mixture vs logistic: none beats it (BH q ≥ 0.79).

Source: the Model Hub's public model register, as of 6 Nov 2026. The M-025 page in the live Model Hub carries the full development and validation record, monitoring and open decisions. All 30 models and their verdicts.

Terms used on this page