Kalman-Logit Altcoin Arbitrage
Family: hybrid · Regime: high_vol · Complexity: high · Asset classes: Crypto (specifically ATOM/USDT paired with ETH/BTC benchmark) · Timeframes: 15m
Thesis
Short-term price action in mid-cap altcoins (ATOM) is driven by liquidity flows often signaled by overextensions in the ETH/BTC ratio. By identifying ETH/BTC mean-reversion regimes (via Kalman Z-Score) and entering only when a logistic regression model detects favorable local market structure (FVGs/Liquidity) aligned with momentum, we can capture high-probability 'catch-up' or 'reversion' moves. Risk is structurally anchored to Darvas Box consolidations to ensure the trade is invalidated if the local market structure breaks.
Components
- AI Pair Trading System v1.0 (regime) — Identifies a relative-value regime; trades are only taken when the benchmark pair (ETHBTC) is in a mean-reversion state, suggesting potential volatility overflow into altcoins.
- Momentum (MOM) (direction) — Ensures the entry is aligned with immediate price velocity to avoid catching falling knives during spread reversion.
- ATOM Coefficient Indicator (logit) (entry) — Provides a probability-based entry trigger using logistic regression on market structure features (FVGs, Liquidity).
- HiLo Activator (Gann Style) (exit) — Acts as a trailing exit mechanism that reacts to local trend shifts once the initial signal has matured.
- Darvas Boxes Modern/Classic (risk) — Determines position sizing and stop-loss placement based on the most recent structural consolidation high/low.
Known failure conditions
- Logit AUC drops below 0.50 in walk-forward testing (indicative of coefficient obsolescence).
- Prolonged decoupling where ETHBTC remains in a multi-standard deviation trend, breaking the Kalman Mean assumptions.
- High slippage environments where the 15m entry window is narrow.
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