Logit-Filtered Corrected RSX Trend-Follower

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

Thesis

Market edges in volatile crypto assets like ATOM can be captured by identifying high-probability momentum shifts using logistic regression, provided these entries are filtered by a noise-corrected trend regime and anchored to geometric support levels (Murrey Math). The edge relies on the logit model identifying micro-inefficiencies in ATOM's price action while RSX prevents trading in noise.

Components

• Corrected RSX (regime) — Filters noise to ensure the strategy only operates when momentum is established, preventing trades in low-volatility chop.
• Aroon (direction) — Confirms the emergence of a new directional trend by measuring the time since recent highs/lows.
• ATOM Coefficient Indicator (logit) (entry) — Provides a probabilistic entry trigger based on market structure (FVGs) and swing pressure specifically for the ATOM pair.
• OTLIB Stochastic Oscillator (exit) — Used to capture mean-reversion exits when momentum reaches local exhaustion.
• Murrey Math Line X (risk) — Defines hard support/resistance levels for stop-loss placement and risk-adjusted position sizing.

Known failure conditions

• Persistence of logit probability near 0.5 for extended periods, suggesting the model has lost predictive power.
• Market volatility causing Murrey Math levels to shift more than twice in a 24-hour period, leading to unstable stop-losses.
• Sustained divergence where Aroon indicates a trend but Corrected RSX remains flat.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).