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Miha Kralj
2026-02-27 07:48:12 -08:00
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# JVOLTYN: Normalized Jurik Volatility
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Volatility |
| **Inputs** | Source (close) |
| **Parameters** | `period` |
| **Outputs** | Single series (Jvoltyn) |
| **Output range** | $\geq 0$ |
| **Warmup** | 1 bar |
### TL;DR
- Normalized Jurik Volatility (JVOLTYN) maps the raw JVOLTY dynamic exponent to a 0-100 scale.
- Parameterized by `period`.
- Output range: $\geq 0$.
- Requires 1 bar of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
> "When you need to compare apples to apples, normalize your volatility—0 is calm, 100 is chaos."
Normalized Jurik Volatility (JVOLTYN) maps the raw JVOLTY dynamic exponent to a 0-100 scale. While JVOLTY outputs values in the range [1, logParam] (where logParam is period-dependent), JVOLTYN transforms this to a universal scale where 0 represents minimum volatility and 100 represents maximum volatility. This normalization enables direct comparison across different periods and instruments.
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## References
- Jurik Research. (1998-2005). "JMA White Papers." *jurikres.com* (archived).
- QuanTAlib. "JVOLTY: Jurik Volatility." [Documentation](../jvolty/Jvolty.md).
- QuanTAlib. "JVOLTY: Jurik Volatility." [Documentation](../jvolty/Jvolty.md).