Hull Suite by InSilico — Indie Edition


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Hull Suite by InSilico — Indie Edition

Hull Suite by InSilico — Indie Edition is a precise implementation of the well-known multi-variation Hull Moving Average pack, adapted for the Indie engine on TakeProfit.
It preserves the mathematical structure of the original concept while ensuring strict execution consistency within the Indie framework.

This indicator combines three Hull-based smoothing models in one unified tool, allowing traders to adapt responsiveness and smoothness to different market conditions.

Included Hull Variations

HMA (Hull Moving Average)
A low-lag weighted moving average designed to reduce delay while maintaining smooth structure. Suitable for swing entries and trend-following setups.

EHMA (Exponential Hull Moving Average)
A more reactive variation using exponential smoothing. Provides faster response to short-term volatility and intraday momentum shifts.

THMA (Triangular Hull Moving Average)
A composite weighted structure optimized for additional smoothness. Designed for broader trend filtering and dynamic support/resistance visualization.

Core Features

  • Multi-mode Hull selection (HMA / EHMA / THMA)
  • Optional higher timeframe (HTF) calculation
  • Dynamic trend coloring
  • Dual-line band visualization (current vs shifted Hull)
  • Optional candle coloring based on trend direction
  • Adjustable length multiplier for higher timeframe simulation
  • Clean overlay implementation

Higher Timeframe Mode

The indicator supports true higher timeframe calculation via Indie’s secondary context engine.
When enabled, Hull values are computed directly on the selected timeframe rather than approximated, providing structurally accurate HTF trend bias.

Note: The selected HTF must be higher than the current chart timeframe.

How It Can Be Used

  • Trend identification and bias confirmation
  • Dynamic support and resistance zones
  • Pullback entry filtering
  • Scalping with HTF directional alignment
  • Smoothing price structure without excessive lag

Technical Integrity

This edition uses Pine-compatible rounding logic to ensure behavior closely mirrors the original Hull formulation.
All smoothing stages are calculated using native Indie algorithms for deterministic execution and stable historical consistency.

Intended Audience

  • Systematic traders
  • Swing and intraday traders
  • Trend-following strategies
  • Quantitative model builders requiring low-lag smoothing
© Licensed under MIT

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