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fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume

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Deep review of all indicator categories verified .md headers against .cs WarmupPeriod, parameters, inputs, and outputs. Fixes include warmup corrections, parameter documentation, output type accuracy, and Pine Script alignment.
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Miha Kralj
2026-03-10 18:38:23 -07:00
parent 8906c62dcf
commit 35a6702b06
178 changed files with 2579 additions and 998 deletions
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lib/numerics/cwt/Cwt.md
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@@ -7,14 +7,14 @@
| **Parameters** | `scale` (default 10.0), `omega0` (default 6.0) |
| **Outputs** | Single series (Cwt) |
| **Output range** | Varies (see docs) |
| **Warmup** | 1 bar |
| **Warmup** | windowSize (2K+1) bars, where K = round(3 × scale) |
### TL;DR
- CWT computes the magnitude of the Continuous Wavelet Transform at a specified scale using the Morlet wavelet, providing a time-frequency decomposit...
- Parameterized by `scale` (default 10.0), `omega0` (default 6.0).
- Output range: Varies (see docs).
- Requires 1 bar of warmup before first valid output (IsHot = true).
- Requires windowSize (2K+1) bars of warmup before first valid output (IsHot = true), where K = round(3 × scale).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
CWT computes the magnitude of the Continuous Wavelet Transform at a specified scale using the Morlet wavelet, providing a time-frequency decomposition that measures the energy content of a specific frequency band at each point in time. Unlike Fourier analysis which loses time localization, the wavelet transform maintains both time and frequency information simultaneously. The output is a non-negative magnitude series where peaks indicate strong presence of the target frequency (determined by the scale parameter) and troughs indicate absence of that frequency component.