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lib/oscillators/squeeze/Squeeze.md
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# SQUEEZE: Squeeze Momentum
# SQUEEZE: Squeeze Momentum
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Oscillator |
| **Inputs** | OHLCV bar (TBar) |
| **Parameters** | `period` (default 20), `bbMult` (default 2.0), `kcMult` (default 1.5) |
| **Outputs** | Single series (Squeeze) |
| **Output range** | Varies (see docs) |
| **Warmup** | `period` bars |
### TL;DR
- Squeeze Momentum combines Bollinger Band and Keltner Channel width analysis to detect low-volatility compression ("squeeze") states, while simultan...
- Parameterized by `period` (default 20), `bbmult` (default 2.0), `kcmult` (default 1.5).
- Output range: Varies (see docs).
- Requires `period` bars of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
Squeeze Momentum combines Bollinger Band and Keltner Channel width analysis to detect low-volatility compression ("squeeze") states, while simultaneously measuring directional momentum via linear regression of a detrended price series. The dual output consists of a momentum histogram and a binary squeeze state indicator. When Bollinger Bands contract inside the Keltner Channel, the market is in a squeeze (coiling volatility); when the squeeze releases, the momentum histogram direction signals the likely breakout direction. The implementation combines five distinct computational stages, each using O(1) streaming techniques.