Fidelity Disruptive Automation ETF
Fidelity Disruptive Automation ETF (FBOT) Implied Volatility Current
FBOT implied volatility is 25%. IV Rank is 46%, placing current premiums in the middle of their 52-week range.
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Tracking FBOT implied volatility helps you identify when options premiums on Fidelity Disruptive Automation ETF are historically cheap or expensive, and where the best trades are hiding. Fidelity Disruptive Automation ETF implied volatility reflects the market's expectation of future price movement: when FBOT IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor Fidelity Disruptive Automation 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 FBOT, tracking metrics like FBOT 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 FBOT signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.
Invests in companies leading the way in automation, from industrial robotics to artificial intelligence and autonomous driving.
Premium sellers, directional traders, and spread builders all need the same starting point: a clear read on where FBOT implied volatility sits today versus where it has been. Our scanner ranks Fidelity Disruptive Automation ETF implied volatility against its historical range, surfaces extremes in FBOT IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether Fidelity Disruptive Automation ETF IV is rich or cheap — measure it, then act on it.
Implied Volatility
IV is below its typical range - premiums look reasonable for buyers.
As of September 15, 2026
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Track FBOT IV rank across every expiration, spot where volatility is elevated, and identify high-probability setups before the window closes.
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