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.
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.
The posture, regime, volatility and what would change them for SPY, every weekday at 7:30 AM ET. Free, no account needed.
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.
El Reporte Diario de Riesgo del S&P 500 se publica únicamente con fines informativos y educativos. No constituye asesoría de inversión, financiera, legal ni fiscal, ni es una recomendación o solicitud para comprar, vender o mantener ningún valor. El contenido es de carácter general y no considera sus circunstancias, objetivos ni tolerancia al riesgo individuales. El rendimiento pasado y las medidas históricas de riesgo no garantizan resultados futuros. Toda inversión conlleva riesgo, incluida la posible pérdida del capital. Los datos se consideran fiables, pero no se garantiza que sean exactos o completos. El autor no es un asesor de inversiones registrado ni un intermediario de valores (broker-dealer). El autor puede mantener posiciones en los valores mencionados. Consulte a un profesional financiero calificado antes de tomar cualquier decisión de inversión.
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One pipeline, built so that every number can be traced back to its data and model version.
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.
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.
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.
A portfolio-level policy that sizes your own holdings, scored against your book held unchanged, with Monte Carlo drawdown and backtests per user.
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.
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.
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.
Models are trained and backtested walk-forward; probabilities are calibrated out of sample and value-at-risk is tested against what actually happened.
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.
Each chart shows a trading policy's latest signals on its asset. Select one to enlarge it.