REX-Osprey DOGE ETF

DOJE— · USD
8.90USD+0.36 (+4.24%)

REX-Osprey DOGE ETF (DOJE) Implied Volatility Current

DOJE implied volatility is 74%. IV Rank is 4%, placing current premiums in the bottom of their 52-week range.

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Tracking DOJE implied volatility helps you identify when options premiums on REX-Osprey DOGE ETF are historically cheap or expensive, and where the best trades are hiding. REX-Osprey DOGE ETF implied volatility reflects the market's expectation of future price movement: when DOJE IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor REX-Osprey DOGE ETF's implied volatility current levels in real time and filter for high-probability trades.

Implied volatility is derived from option prices using models like Black-Scholes and represents the annualized expected move of an underlying stock. For DOJE, tracking metrics like DOJE IV rank helps traders understand whether current implied volatility is historically high or low. IV rank compares today's reading against the past year's range — a high rank on DOJE signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.

Premium sellers, directional traders, and spread builders all need the same starting point: a clear read on where DOJE implied volatility sits today versus where it has been. Our scanner ranks REX-Osprey DOGE ETF implied volatility against its historical range, surfaces extremes in DOJE IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether REX-Osprey DOGE ETF IV is rich or cheap — measure it, then act on it.

Implied Volatility

IV Rank
3.57%IV Rank
Low

IV is compressed vs the past year - options are relatively cheap, favoring buyers.

Implied Volatility (30d)73.78%

IV Rank3.57%

Historical Volatility (30d)71.65%

IV - HV+2.13%

As of September 23, 2026

Trade options with IV on your side

Track DOJE IV rank across every expiration, spot where volatility is elevated, and identify high-probability setups before the window closes.

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