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Console

Your models, live in production.

Direction, magnitude and volatility forecasts from the production triad, served through the Voltacent API.

Model inventory

The models behind the API.

The production triad is available through the Voltacent API in private beta. Research catalog metrics remain dated historical backtest results, not live performance.

Direction classifier

Live

XGBoost classifier

Run ID
xgboost_fold11_20260904_094734
Features
71
Threshold
0.62
Deployed
2026-09-21
Build
sha-pinned

Live in production · private inference cluster

Magnitude regressor

Live

Gen-1 XGBoost regressor

Build
Gen-1 · sha-pinned
Pip hurdle
0.6
Position sizing
Disabled

Live in production · private inference cluster

Volatility forecaster

Live

Gen-1 XGBoost

Build
Gen-1
Features
119
Gate
Enabled

Live in production · private inference cluster

Production deployment runs all three legs — direction, magnitude gate, volatility gate — as one decision pipeline.

Research catalog — API candidates

Research results · historical backtest

xgboost_20260903_200844

ACTIVE

Gen-1 classifier

Features71
Headline metric+2.96 Net Sharpe @ 0.62

lightgbm_20260908_170458

VALIDATED / INACTIVE

Classifier

Features81
Headline metric+2.24 Sharpe

xgboost_reg_20260912_160548

VALIDATED / INACTIVE

Hybrid regression

Features103
Headline metric+2.16 Sharpe

xgboost_20260916_103341

STAGING

Hybrid classifier

Features103
Headline metric+5.85 Gross Sharpe / −2.8% max drawdown

Threshold sweep pending · not LEAN-tested

76 trained fold-models across 5 families in the research registry. Two DL-only ablations failed; one volatility run pending training — not offered. All catalog metrics are dated historical research/backtest results — not live performance.

Live status

API health, checked from your browser.

This panel queries the production API health endpoint on page load and shows exactly what it returns — nothing cached, nothing assumed.

Contacting health endpoint…

The health endpoint reports whether each model leg of the production triad is loaded and serving. It carries no signals, forecasts, or performance data.

GET /v1/health

Console

Deployment state without simulated liveness.

Production inference is available via the private-beta API, separate from the staging candidate and dated canary telemetry snapshot. Historical research results are not inserted into live fields.

Private beta

Active staging candidate

xgboost_20260916_103341

RESEARCH / STAGINGCANARY SNAPSHOT · NOT LIVE

Direction

Available via API

Served through the Voltacent API — private beta, request access.

Expected return

Available via API

Served through the Voltacent API — private beta, request access.

Volatility

Available via API

Served through the Voltacent API — private beta, request access.

Model health

Available via API

Served through the Voltacent API — private beta, request access.

Data freshness

Available via API

Served through the Voltacent API — private beta, request access.

Last inference

Available via API

Served through the Voltacent API — private beta, request access.

Telemetry: RECORDED CANARY SNAPSHOT · Last recorded: 2026-09-16 08:45 UTC · Streaming: NOT CONNECTED · LEAN: NOT YET TESTED. This is not a live trading dashboard.

Volatility model family · experiment/xgb-volatility-h1

One primary forecaster, tested against leakage-safe baselines.

Every variant targets log_realized_variance for the next H1 bar. The baselines exist to show whether XGBoostVolatilityModel adds anything beyond simple persistence and HAR-RV structure.

Research · no results published

3 of 5 reported variants verified. Five volatility model types were reported for this branch. Only three are verifiable from the supplied repository facts; the remaining two are not shown because their names and definitions could not be confirmed.

PRIMARY FORECASTER

XGBoostVolatilityModel

Gradient-boosted tree regression on the log of next-bar realized variance.

Trained artifact not included in repository

models/volatility.py · private research repository

BASELINEDescriptive name

Persistence baseline

Leakage-safe persistence: forecasts next-H1 variance from the most recent completed realized variance.

Trained artifact not included in repository

models/volatility_baselines.py · private research repository

BASELINEDescriptive name

HAR-RV baseline

Heterogeneous autoregressive realized-variance model combining short, medium and long causal windows.

Trained artifact not included in repository

models/volatility_baselines.py · private research repository

Canary telemetry snapshot

Recorded staging telemetry, not a live feed

A historical canary snapshot recorded in Voltacent telemetry.json. Values describe that recorded observation only and do not stream or imply current status.

Snapshot · not live