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lib/filters/loess/Loess.md
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# Loess: Locally Estimated Scatterplot Smoothing
# Loess: Locally Estimated Scatterplot Smoothing
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Filter |
| **Inputs** | Source (close) |
| **Parameters** | `period` |
| **Outputs** | Single series (Loess) |
| **Output range** | Tracks input |
| **Warmup** | `Period` bars |
### TL;DR
- Locally Estimated Scatterplot Smoothing (LOESS) applies a weighted linear regression over a localized window of nearest neighbors.
- Parameterized by `period`.
- Output range: Tracks input.
- Requires `Period` bars of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
> "When global models fail, act locally. LOESS fits the data by ignoring the noise and embracing the neighborhood."