ATOM Logit Persistent Trend Hybrid

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

Thesis

The strategy hypothesizes that ATOMUSDT exhibits persistent trend micro-structures that can be isolated by RWI, and that these trends have predictable momentum biases identifiable by logistic regression (logit model) when high-frequency noise is removed via the Savitzky-Golay Filter.

Components

• Random Walk Index (RWI BTF) (regime) — Filters for trending regimes where RWI_High or RWI_Low > 1.0, ensuring we aren't trading in a random walk.
• ATOM Coefficient Indicator (logit) (direction) — Provides the primary directional bias based on local market structure and logistic regression.
• Commodity Channel Index (CCI) (entry) — Identifies precise entry timing via mean-reversion exhaustion or zero-line momentum.
• Ehlers Center of Gravity (CG) (exit) — Detects local cycle peaks to exit before price reversal.
• ATR Heiken Ashi (risk) — Calculates smoothed volatility for dynamic SL/TP placement and position sizing.
• Arrows Indicator Template (confirmation) — Acts as a logic gate confirming the alignment of all technical conditions.
• Savitzky-Golay Filter (SGF) (volatility_filter) — Filters out high-frequency noise and ensures the entry slope is valid.

Known failure conditions

• ATOM Coefficient Indicator AUC drops significantly below 0.50 in live testing.
• Persistent sideways chop where RWI fluctuates around 1.0, causing high transaction costs.
• Market liquidity for ATOM evaporates, leading to slippage that exceeds the ATR Heiken Ashi stop distance.

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).