From af686b80941cda17a161396463afcae4507f18ea Mon Sep 17 00:00:00 2001 From: Toh4iem9 Date: Sun, 19 Oct 2025 10:21:01 +0200 Subject: [PATCH] refactor: --- Indicators/MyIndicators/Laguerre_RSI_Pro.md | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/Indicators/MyIndicators/Laguerre_RSI_Pro.md b/Indicators/MyIndicators/Laguerre_RSI_Pro.md index 47cbce8..e49c4e4 100644 --- a/Indicators/MyIndicators/Laguerre_RSI_Pro.md +++ b/Indicators/MyIndicators/Laguerre_RSI_Pro.md @@ -2,7 +2,14 @@ ## 1. Summary (Introduction) -The Laguerre RSI, developed by the renowned digital signal processing (DSP) expert John Ehlers, is a sophisticated and modern version of the classic Relative Strength Index (RSI). Its core innovation is the use of a **Laguerre filter** to smooth the price data before the RSI calculation is applied. +> **Part of the Laguerre Indicator Family** +> +> This indicator is a member of a family of tools based on John Ehlers' Laguerre filter. Each member utilizes the filter's extremely low-lag and smooth characteristics to analyze different aspects of market behavior. +> +> * **Laguerre Filter:** A fast, responsive moving average. +> * **Laguerre RSI:** A smooth, noise-filtered momentum oscillator. + +The Laguerre RSI, developed by John Ehlers, is a sophisticated and modern version of the classic Relative Strength Index (RSI). Its core innovation is the use of a **Laguerre filter** to smooth the price data before the RSI calculation is applied. The result is an oscillator that is exceptionally **smooth** and produces significantly less noise and fewer "whipsaws" than a traditional RSI. Despite its smoothness, it remains highly responsive to changes in market momentum, making it a powerful tool for identifying overbought/oversold conditions and potential trend reversals. @@ -38,11 +45,10 @@ The calculation is highly recursive, relying on the state of four internal filte ## 3. MQL5 Implementation Details -* **Modular Calculation Engine (`Laguerre_RSI_Calculator.mqh`):** - The entire complex, recursive calculation is encapsulated within a reusable `CLaguerreRSICalculator` class. This separates the mathematical logic from the indicator's user interface. -* **Heikin Ashi Integration:** An inherited `CLaguerreRSICalculator_HA` class allows the calculation to be performed seamlessly on smoothed Heikin Ashi data by simply overriding the initial data preparation step. -* **Stability via Full Recalculation:** We employ a "brute-force" full recalculation within `OnCalculate`. For a highly state-dependent and recursive filter like Laguerre, this is the most robust and reliable method, eliminating potential desynchronization errors common with `prev_calculated` logic. -* **Value Clamping:** The final calculated value is mathematically clamped to the 0-100 range to ensure it always fits perfectly within the standard oscillator window, even with extreme market conditions. +* **Modular "Family" Architecture:** The core Laguerre filter calculation is encapsulated in a central `Laguerre_Engine.mqh` file. The `Laguerre_RSI_Calculator.mqh` is a thin adapter that includes this engine, retrieves the filter's components, and then applies the final RSI-like formula. This modular design ensures consistency across the entire Laguerre family. +* **Heikin Ashi Integration:** An inherited `CLaguerreEngine_HA` class allows the calculation to be performed seamlessly on smoothed Heikin Ashi data. +* **Stability via Full Recalculation:** We employ a full recalculation within `OnCalculate`. For a highly state-dependent and recursive filter like Laguerre, this is the most robust and reliable method. +* **Value Clamping:** The final calculated value is mathematically clamped to the 0-100 range to ensure it always fits perfectly within the standard oscillator window. ## 4. Parameters