Atlas-Force Session Trend Sequencer
Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX (Majors), Equities (Indices) · Timeframes: M15, H1
Thesis
The 'Session-Momentum Paradox' hypothesis states that trending moves originating in the first 25% of a trading session are more likely to persist if they are mathematically distinguished from a random walk (RWI > 1) and supported by long-term trend alignment (DEMA 200). The strategy exploits the behavioral tendency of session-driven order flow to create sustained intraday trends.
Components
- ATLS: Session Atlas (regime) — Defines the intraday regime by identifying which sessions (Asia/EU/NY) are showing directional performance strength versus ranging behavior.
- Average Force (direction) — Filters for short-to-medium term momentum by ensuring price is consistently trading in the upper half of its recent high-low range.
- DEMA 200 & ADX Combined HUD (entry) — Provides the final execution trigger by combining a long-term trend filter (DEMA) with a momentum intensity filter (ADX).
- Connect MACD (Azullian) (exit) — Acts as the trend-exhaustion signal, exiting positions when momentum begins to converge, suggesting a local peak or reversal.
- Pivot Points Reversal Levels (risk) — Identifies structural support/resistance based on two-bar reversals to set hard stops and calculate position size based on distance to the pivot.
- Random Walk Index (RWI BTF) (volatility_filter) — Crucial filter to distinguish between a persistent trending move and a 'random walk' (noise), ensuring the entry isn't into a choppy market.
Known failure conditions
- Multiple consecutive sessions with near 0% performance on Session Atlas leading to 'death by a thousand cuts' from whipsaws.
- Market regime shifts where Pivot Points are breached immediately after formation due to extreme volatility.
- High correlation between the DEMA 200 and Average Force resulting in redundant signals that lag significantly behind price action.
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