Explainable AI for markets

See the regime.
Measure the risk.
Decide with evidence.

CCVG AI turns market, macro and cross-asset data into forecasts, trading policies and forward-looking risk intelligence, and shows you why. Models are backtested walk-forward on point-in-time data, versioned, and promoted through governed gates.

~70instruments across equities, bonds, FX, commodities, energy and crypto
6model families: regimes, world models, quantum world models, RL policies, allocator, risk
5volatility models: GARCH, GARCH-t, EGARCH, GJR-GARCH and their ensemble
1–30trading-day risk horizons, probabilities calibrated out of sample

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Free Daily S&P 500 Risk Report

The posture, regime, volatility and what would change them for SPY, every weekday at 7:30 AM ET. Free, no account needed.

Read the disclaimer

The Daily S&P 500 Risk Report is published for informational and educational purposes only. It is not investment, financial, legal, or tax advice, and it is not a recommendation or solicitation to buy, sell, or hold any security. The content is general in nature and does not consider your individual circumstances, objectives, or risk tolerance. Past performance and historical risk measures do not guarantee future results. All investing involves risk, including possible loss of principal. Data is believed reliable but is not guaranteed to be accurate or complete. The author is not a registered investment adviser or broker-dealer. The author may hold positions in securities mentioned. Consult a qualified financial professional before making any investment decision.

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The platform

From market observations to explainable decisions

One pipeline, built so that every number can be traced back to its data and model version.

Market intelligence

Regimes from hidden Markov models, spectral and wavelet structure, and macro context (rates, dollar, credit, oil, liquidity), joined only once each series was actually published.

World models

Forecasters trained across the whole universe, including a quantum-enhanced variant, that learn how assets and regimes move together, not one chart at a time.

Trading policies

Reinforcement-learning agents that turn forecasts into buy, hold or sell, judged against buy-and-hold and simple rules on windows they never trained on.

Portfolio allocator

A portfolio-level policy that sizes your own holdings, scored against your book held unchanged, with Monte Carlo drawdown and backtests per user.

Risk intelligence

Forward-looking risk per asset: regime-transition odds, GARCH-family volatility surprise, hedging cost, scenarios from ±3σ to crisis replays, and a decision posture with its reasons.

Governed workflows

Design pipelines visually, run them in a sandbox, compare with production, and promote only when the gates pass and a person approves, with full lineage and an AI assistant at hand.

How it works

Evidence first, then decisions

Observe

Prices and macro series arrive daily and are aligned point in time: no value is used before it was published, and reconstructed history is flagged.

Model and validate

Models are trained and backtested walk-forward; probabilities are calibrated out of sample and value-at-risk is tested against what actually happened.

Explain and act

Every output carries its units, method, data quality and model version, so a posture or a trade can be traced back to the evidence behind it.

Live models

Latest model snapshots

Each chart shows a trading policy's latest signals on its asset. Select one to enlarge it.