RLS Structural Intensity Breakout

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities (Indices) · Timeframes: M15, H1

Thesis

Market trends are most likely to persist when momentum breakouts occur from areas of structural supply/demand imbalance. By aligning multi-timeframe sentiment (Dashboard) with adaptive noise filtering (RLS) and momentum intensity (TII), we can identify high-probability entries that occur at the 'tipping point' of a trend continuation after a brief retracement.

Components

• ProfitRobots Dashboard Template (regime) — Establishes multi-timeframe trend alignment (H1/H4) to ensure entries occur in the direction of institutional flow.
• Supply & Demand Zones (NNFX) (direction) — Identifies structural price pivots where liquidity is likely trapped or order blocks reside.
• SilverTrend Sv2 (entry) — Provides the precise price breakout trigger after a pullback into a zone.
• Ichimoku Kinko Hyo (exit) — Utilizes the Kijun-sen (Base Line) as a trailing stop/exit to capture the meat of a trend.
• GAS Price Levels (risk) — Uses Bollinger Band and Alpha-weighted volatility to define dynamic stop-loss levels.
• Trend Intensity Index (TII) (confirmation) — Ensures momentum is accelerating (TII > 50 or < 50) to filter out weak, low-probability breakouts.
• Recursive Least Squares Adaptive Filter (RLS) (volatility_filter) — Acts as a volatility/noise filter; price must be on the correct side of the adaptive curve to validate the trend.

Known failure conditions

• Price remains in a permanent 'choppy' state where S/D zones are created and breached within 10 bars.
• The RLS filter exhibits numerical instability (divergence) in low-volatility environments.
• SilverTrend signals trigger consistently against the TII momentum direction.

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