Tuttle Capital Pure Play Photonics ETF

FOTO— · USD
18.13USD0.00 (+2.49%)

Tuttle Capital Pure Play Photonics ETF (FOTO) Implied Volatility Current

FOTO implied volatility is 56%. IV Rank is —%, placing current premiums in the middle of their 52-week range.

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Tracking FOTO implied volatility helps you identify when options premiums on Tuttle Capital Pure Play Photonics ETF are historically cheap or expensive, and where the best trades are hiding. Tuttle Capital Pure Play Photonics ETF implied volatility reflects the market's expectation of future price movement: when FOTO IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor Tuttle Capital Pure Play Photonics 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 FOTO, tracking metrics like FOTO 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 FOTO 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 FOTO implied volatility sits today versus where it has been. Our scanner ranks Tuttle Capital Pure Play Photonics ETF implied volatility against its historical range, surfaces extremes in FOTO IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether Tuttle Capital Pure Play Photonics ETF IV is rich or cheap — measure it, then act on it.

Implied Volatility

IV Rank
IV Rank
Implied Volatility (30d)55.66%

IV Rank

Historical Volatility (30d)67.50%

IV - HV-11.84%

As of September 21, 2026

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

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