ATOM Neural Logit-Ichi Hybrid

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

Thesis

Momentum breakouts on ATOMUSDT exhibit specific market structure signatures (captured by the logit model) that are most reliable when they align with daily structural Ichimoku trends and are validated by neural network momentum filters. The edge exists because the logit model isolates specific FVG/Liquidity behaviors unique to ATOM's price discovery.

Components

• MMT Ichi Workflow Overlay Profiles (regime) — Establishes the macro trend regime and structural bias using a multi-factor scoring system (Price, Kumo, TK, Chikou).
• Neural Network Indicator (NNind) (direction) — Filters price action through an MLP to ensure current micro-momentum aligns with the higher-level structural bias.
• ATOM Coefficient Indicator (logit) (entry) — Provides the final trade execution trigger based on high-frequency market structure features (FVGs and liquidity) specific to ATOM price action.
• MACD (exit) — Captures momentum exhaustion to signal an exit before the structural trend fully reverses.
• Volatility Ratio (VR) (risk) — Adjusts the stop-loss distance and position size based on immediate volatility expansion relative to the historical average.
• TSI Convergence Divergence (TSI_CD) (confirmation) — Acts as a short-term trend filter to ensure the histogram color (slope) supports the entry direction, preventing entries in micro-range chop.

Known failure conditions

• ATOMUSDT market structure changes significantly from the period used to train the logit coefficients.
• Extended low-volatility environments where VR remains below 1.0, leading to SLs being too tight.
• Logit AUC drops below 0.50 in live out-of-sample forward testing.

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