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feat: Add Blackman Window Moving Average (BLMA) implementation and documentation
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# Trend Indicators Comparison
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Scale 1–10 where **10 = better** for every column.
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Scale 1–10 where **10 = better** for every column. Detailed evaluation criteria at the bottom of this doc.
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- Accuracy: preserves large-scale structure WITHOUT warping/projection artifacts
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- Timeliness: low lag / fast response
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- Overshoot Control: 10 = no overshoot / no ringing
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- Smoothness: noise suppression / stability
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- **Accuracy**: Preserve true movement structure (major trends and turning points) without distortion or artificial patterns.
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- **Timeliness**: Minimal lag. Fast response to genuine movement changes and reversals.
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- O**vershoot Control**: Remain within min/max of input, avoid generating artificial over-reaching levels and false threshold triggers.
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- **Smoothness**: Noise suppression. Stable output with smooth derivatives (no erratic velocity/acceleration).
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| Indicator | Accuracy | Timeliness | Overshoot Control | Smoothness | Notes (revised) |
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| :--- | :---: | :---: | :---: | :---: | :--- |
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| **ALMA** | 8 | 7 | 10 | 8 | Positive-weight FIR; accurate-ish but still a lag tradeoff. |
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| **BESSEL** | 9 | 7 | 9 | 8 | Strong shape/phase preservation; step response is well-behaved. |
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| **BILATERAL** | 7 | 6 | 10 | 8 | Edge-preserving; excellent in ranging markets, variable smoothing by design. |
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| **BLMA** | 7 | 3 | 10 | 10 | Standard DSP window; superior noise suppression but significant lag. |
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| **DEMA** | 4 | 9 | 3 | 6 | Lag-canceling subtraction ⇒ structure distortion + overshoot risk. |
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| **DWMA** | 7 | 2 | 10 | 10 | Ultra-smooth, but smears structure heavily (lag dominates). |
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| **EMA** | 8 | 6 | 10 | 8 | Convex IIR (monotone) ⇒ faithful & stable, moderate lag. |
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