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lib/statistics/skew/Skew.md
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# SKEW: Skewness
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Statistic |
| **Inputs** | Source (close) |
| **Parameters** | `period`, `isPopulation` (default false) |
| **Outputs** | Single series (Skew) |
| **Output range** | Varies (see docs) |
| **Warmup** | `period` bars |
### TL;DR
- Skewness measures the asymmetry of the probability distribution of a real-valued random variable about its mean.
- Parameterized by `period`, `ispopulation` (default false).
- 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.
> "In the land of the blind, the one-eyed man is king. In the land of the normal distribution, the skewed man is profitable."
Skewness measures the asymmetry of the probability distribution of a real-valued random variable about its mean. It tells you where the "tail" of the distribution is.