refactor: Optimized for incremental calculation

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Toh4iem9
2025-11-28 13:12:17 +01:00
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# Stochastic Momentum Index (SMI) Professional
# Stochastic Momentum Index (SMI) Pro
## 1. Summary (Introduction)
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* **`CSMICalculator`**: The base class that performs the full, multi-stage SMI calculation on a given set of High, Low, and Close prices.
* **`CSMICalculator_HA`**: A child class that inherits all the complex logic and only overrides the initial data preparation step to use smoothed Heikin Ashi prices as its input. This object-oriented approach eliminates code duplication.
* **Stability via Full Recalculation:** We employ a "brute-force" full recalculation within `OnCalculate`. For a complex, multi-stage indicator like the SMI, this is the most reliable method to prevent calculation errors.
* **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.
* The internal buffers (`m_ema_rel`, `m_ema_range`, etc.) persist their state between ticks, allowing the recursive EMA algorithms to continue seamlessly from the last known value.
* This results in **O(1) complexity** per tick, ensuring instant updates and zero lag, even on charts with extensive history.
* **Robust EMA Initialization:** Each recursive EMA calculation step is carefully initialized with a simple average to provide a stable starting point for the calculation chain and prevent floating-point overflows.