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# JVOLTYN: Normalized Jurik Volatility
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| Property | Value |
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| ---------------- | -------------------------------- |
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| **Category** | Volatility |
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| **Inputs** | Source (close) |
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| **Parameters** | `period` |
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| **Outputs** | Single series (Jvoltyn) |
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| **Output range** | $\geq 0$ |
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| **Warmup** | 1 bar |
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### TL;DR
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- Normalized Jurik Volatility (JVOLTYN) maps the raw JVOLTY dynamic exponent to a 0-100 scale.
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- Parameterized by `period`.
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- Output range: $\geq 0$.
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- Requires 1 bar of warmup before first valid output (IsHot = true).
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- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
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> "When you need to compare apples to apples, normalize your volatility—0 is calm, 100 is chaos."
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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
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- Jurik Research. (1998-2005). "JMA White Papers." *jurikres.com* (archived).
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- QuanTAlib. "JVOLTY: Jurik Volatility." [Documentation](../jvolty/Jvolty.md).
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- QuanTAlib. "JVOLTY: Jurik Volatility." [Documentation](../jvolty/Jvolty.md).
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