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lib/filters/gauss/Gauss.md
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# Gauss: Gaussian Filter
# Gauss: Gaussian Filter
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Filter |
| **Inputs** | Source (close) |
| **Parameters** | `sigma` (default 1.0) |
| **Outputs** | Single series (Gauss) |
| **Output range** | Tracks input |
| **Warmup** | 1 bar |
### TL;DR
- Gauss (Gaussian Filter) is a smoothing filter that applies a Gaussian kernel to time series data.
- Parameterized by `sigma` (default 1.0).
- Output range: Tracks input.
- Requires 1 bar of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
> "SMA smears data like cheap paint. Gaussian filtering respects the signal's soul."