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refactor: Optimized for incremental calculation

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Indicators/MyIndicators/Authors/Ehlers/2_Oscillators/Laguerre_RSI_Adaptive_Pro.md
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# Laguerre RSI Adaptive Professional
# Laguerre RSI Adaptive Pro
## 1. Summary (Introduction)
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> 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](./Laguerre_Filter_Pro.md): A fast, responsive moving average.
> * [Laguerre RSI](./Laguerre_RSI_Pro.md): A smooth, momentum oscillator with a fixed `gamma`.
> * [Laguerre RSI](./Laguerre_RSI_Pro.md): A smooth, noise-filtered momentum oscillator.
> * [Laguerre Filter Adaptive](./Laguerre_Filter_Adaptive_Pro.md): A self-adjusting Laguerre Filter.
> * **Laguerre RSI Adaptive:** A self-adjusting Laguerre RSI that dynamically adapts its smoothing based on the measured market cycle.
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## 3. MQL5 Implementation Details
* **Self-Contained, Stateful Calculator:** Due to the complexity of the cycle measurement algorithm, this indicator uses a dedicated, self-contained calculator (`..._Calculator.mqh`). This calculator is designed as a **stateful class**, where all internal recursive variables (for cycle measurement and filtering) are stored as member variables. This ensures that the indicator's state is correctly maintained between ticks.
* **Heikin Ashi Integration:** An inherited `_HA` class allows the entire adaptive calculation to be performed seamlessly on smoothed Heikin Ashi data.
* **Stability via Full Recalculation:** The calculation is a highly complex, multi-stage recursive process. To ensure absolute stability and prevent desynchronization, the indicator employs a **full recalculation** on every `OnCalculate` call. This is the only robust method for this type of complex DSP filter.
* **Self-Contained, Stateful Calculator:** Due to the complexity of the cycle measurement algorithm, this indicator uses a dedicated, self-contained calculator (`Laguerre_RSI_Adaptive_Calculator.mqh`). This calculator is designed as a **stateful class**, where all internal recursive variables (for cycle measurement and filtering) are stored as member variables. This ensures that the indicator's state is correctly maintained between ticks.
* **Optimized Incremental Calculation:**
Unlike basic implementations that recalculate the entire history on every tick, this indicator employs an intelligent incremental algorithm.
* It utilizes the `prev_calculated` state to determine the exact starting point for updates.
* **Persistent State:** The internal buffers for the Homodyne Discriminator (`m_filt_buf`, `m_I1_buf`, etc.) and the Laguerre RSI (`m_L0_buf`, etc.) persist their state between ticks. This allows the complex DSP pipeline to continue seamlessly from the last known values without re-processing the entire history.
* This results in **O(1) complexity** per tick, ensuring instant updates and zero lag, even on charts with extensive history.
* **Heikin Ashi Integration:** An inherited `_HA` class allows the entire adaptive calculation to be performed seamlessly on smoothed Heikin Ashi data, leveraging the same optimized engine.
* **Value Clamping:** The final calculated value is mathematically clamped to the 0-100 range.
## 4. Parameters