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# YZV: Yang-Zhang Volatility
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| Property | Value |
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| ---------------- | -------------------------------- |
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| **Category** | Volatility |
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| **Inputs** | OHLCV bar (TBar) |
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| **Parameters** | `period` (default 20) |
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| **Outputs** | Single series (Yzv) |
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| **Output range** | $\geq 0$ |
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| **Warmup** | `period` bars |
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### TL;DR
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- Yang-Zhang Volatility is a sophisticated volatility estimator that combines overnight (close-to-open) returns with Rogers-Satchell intraday volatil...
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- Parameterized by `period` (default 20).
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- Output range: $\geq 0$.
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- Requires `period` bars 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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> "The best volatility estimator uses all the information the market gives you—overnight gaps, intraday swings, and everything in between."
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Yang-Zhang Volatility is a sophisticated volatility estimator that combines overnight (close-to-open) returns with Rogers-Satchell intraday volatility to capture the full spectrum of price dynamics. Unlike simple close-to-close volatility that misses overnight gaps, or purely intraday measures that ignore opening moves, Yang-Zhang provides a theoretically unbiased estimate that remains consistent whether markets gap or drift.
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- Yang, D., & Zhang, Q. (2000). "Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices." *Journal of Business*, 73(3), 477-491.
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- Rogers, L. C. G., & Satchell, S. E. (1991). "Estimating Variance from High, Low and Closing Prices." *Annals of Applied Probability*, 1(4), 504-512.
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- Parkinson, M. (1980). "The Extreme Value Method for Estimating the Variance of the Rate of Return." *Journal of Business*, 53(1), 61-65.
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- Garman, M. B., & Klass, M. J. (1980). "On the Estimation of Security Price Volatilities from Historical Data." *Journal of Business*, 53(1), 67-78.
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- Garman, M. B., & Klass, M. J. (1980). "On the Estimation of Security Price Volatilities from Historical Data." *Journal of Business*, 53(1), 67-78.
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