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lib/filters/modf/Modf.md
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# MODF: Modular Filter
# MODF: Modular Filter
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Filter |
| **Inputs** | Source (close) |
| **Parameters** | `period`, `beta` (default 0.8), `feedback` (default false), `fbWeight` (default 0.5) |
| **Outputs** | Single series (MODF) |
| **Output range** | Tracks input |
| **Warmup** | `period` bars |
### TL;DR
- MODF is a dual-path adaptive filter that maintains separate upper and lower EMA bands with conditional state selection.
- Parameterized by `period`, `beta` (default 0.8), `feedback` (default false), `fbweight` (default 0.5).
- 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.
> "alexgrover designed a filter with two paths — one tracks uptrends, one tracks downtrends — and a state machine that picks between them. Add a beta knob for aggression and an optional feedback loop, and you get one of the most versatile adaptive filters on TradingView."