Fidelity Magellan ETF

FMAGCBOE · USD
36.10USD0.00 (-1.01%)

Fidelity Magellan ETF (FMAG) Implied Volatility Current

FMAG implied volatility is 20%. IV Rank is —%, placing current premiums in the middle of their 52-week range.

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Tracking FMAG implied volatility helps you identify when options premiums on Fidelity Magellan ETF are historically cheap or expensive, and where the best trades are hiding. Fidelity Magellan ETF implied volatility reflects the market's expectation of future price movement: when FMAG IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor Fidelity Magellan 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 FMAG, tracking metrics like FMAG 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 FMAG signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.

Opportunistically invests in high-quality cyclical growth stocks and steady growers that seek to benefit from long-term megatrends.

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

Implied Volatility

IV Rank
IV Rank
Implied Volatility (30d)20.32%

IV Rank

Historical Volatility (30d)14.79%

IV - HV+5.53%

As of September 23, 2026

Trade options with IV on your side

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

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