ATOM Logit-Kalman Hybrid Pressure Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto (ATOMUSDT) · Timeframes: 15m

Thesis

ATOM alpha can be harvested by entering during 'easy' price movements (EOM) when a logistic model (ATOM Logit) confirms micro-structure patterns, provided the asset's performance relative to its volatility is high. The trade is closed when the asset overextends relative to a broader market benchmark (ETHBTC), capturing the mean-reversion characteristic of high-beta altcoins.

Components

• Ease of Movement (EOM) (regime) — Acts as a regime filter to ensure price is moving efficiently on relatively low volume, suggesting a lack of resistance in the trend direction.
• Combined Candle Counter (CCC) Dev (direction) — Provides the primary trend direction using EMA cross-overs and identifies exhaustion points (Climaxes) to avoid entering at the end of a move.
• ATOM Coefficient Indicator (logit) (entry) — Uses a logistic regression model to provide the final entry signal based on micro-structure features like FVGs and swing pressure.
• AI Pair Trading System v1.0 (exit) — Uses mean reversion of a market-wide benchmark (ETHBTC) to identify when ATOM has overextended relative to the broader market crypto-cycle.
• Annualized ROC / HV Ratios (risk) — Used for position sizing and a secondary stop-out; it measures if the current price move is providing sufficient 'return per unit of risk'.
• Average True Range (ATR) (volatility_filter) — Filters out low-volatility environments where logistic regression models often produce false positives.

Known failure conditions

• Persistent ATOM Coefficient AUC below 0.50 in live trading.
• Breakdown of the statistical relationship between ATOM and the ETHBTC benchmark spread.
• High slippage in ATOMUSDT 15m charts exceeding the ATR-based stop distance.

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