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Refactor documentation to remove "Zero-Allocation Design" sections across various trend indicators and implement a PowerShell script for automated cleanup

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- Updated mathematical foundations and performance profiles where necessary to maintain clarity and coherence.
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Miha Kralj
2025-12-21 14:37:44 -08:00
parent 54c309e5cf
commit a7b7207801
65 changed files with 1766 additions and 482 deletions
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lib/trends/tema/Tema.md
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@@ -33,19 +33,6 @@ $$ TEMA = (3 \times EMA_1) - (3 \times EMA_2) + EMA_3 $$
## Performance Profile
### Zero-Allocation Design
QuanTAlib's `Tema` implementation does not create three separate `Ema` objects. Instead, it maintains three lightweight `EmaState` structs within the main class. This ensures zero heap allocations during updates and keeps the memory footprint minimal.
| Metric | Score | Notes |
| :--- | :--- | :--- |
| **Throughput** | High | 3 EMAs |
| **Complexity** | O(1) | Constant time update |
| **Accuracy** | 8/10 | Extremely responsive to turns |
| **Timeliness** | 9/10 | Near-zero lag (Lag ≈ 0) |
| **Overshoot** | 4/10 | Significant overshoot on reversals |
| **Smoothness** | 7/10 | Smoother than DEMA, less than T3 |
## Validation
Validated against TA-Lib (`TA_TEMA`) and Skender.Stock.Indicators.