Regime Change Signals
AI uses Hidden Markov Models to detect when the market shifts between bull, bear, and range-bound states — adapt your strategy before the crowd.
How It Works
Market regime detection uses a Gaussian Hidden Markov Model (HMM) trained on returns, volatility, and volume data to classify the current market state. The model identifies three primary regimes: trending (bull), mean-reverting (range-bound), and high-volatility (bear/crash). When a regime transition is detected, the AI surfaces strategy-adjustment guidance: shifting from momentum to mean-reversion strategies in choppy markets, increasing cash allocation in high-volatility regimes, or leaning into trend-following setups in confirmed uptrends.
Gaussian HMM with 3-state detection: trending, range-bound, high-volatility
Trained on daily returns, realized volatility, and volume changes
Viterbi decoding for optimal state sequence + posterior probabilities
BIC-based model selection to avoid overfitting (tests 2, 3, and 4 regime models)
Strategy adaptation guidance tied to each regime transition
Sample Signal
Regime transition detected: Range-Bound → Trending (Bull). Confidence: 78%. VIX declining, breadth improving, institutional buying on dips. Momentum setups now highlighted for review.
Frequently Asked Questions
What is a Hidden Markov Model?
A Hidden Markov Model (HMM) is a statistical model that assumes the market is always in one of several hidden "states" (regimes) that we can't directly observe, but we can infer from observable data like returns and volatility. It's particularly good at detecting regime transitions before they become obvious.
How often do market regimes change?
Major regime changes (e.g., bull to bear) happen 2-4 times per year. The AI also detects sub-regimes within major regimes (e.g., a low-volatility trending phase vs. a high-volatility trending phase), which change more frequently.
How should I change my trading in different regimes?
Each regime signal includes strategy guidance. In trending regimes: favor momentum strategies, wider stops, and trend-following setups. In range-bound regimes: favor mean reversion, tighter stops, and faster profit-taking. In high-volatility regimes: reduce position sizes, consider hedges, or move to cash.
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Tradewink provides market data and analytics tools. Signals are informational only and do not constitute investment advice, a recommendation, or a solicitation to buy or sell any security. Tradewink is not a registered investment adviser or broker-dealer. All trading decisions are made solely by you. Trading involves risk of loss. Past performance does not guarantee future results.