Global X PureCap MSCI Energy ETF

GXPE— · USD
36.39USD0.00 (-0.87%)

Global X PureCap MSCI Energy ETF (GXPE) Implied Volatility Current

GXPE implied volatility is 25%. IV Rank is —%, placing current premiums in the middle of their 52-week range.

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

Implied Volatility

IV Rank
—IV Rank
—
Implied Volatility (30d)25.33%

IV Rank—

Historical Volatility (30d)18.95%

IV - HV+6.38%

As of September 25, 2026

Trade options with IV on your side

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

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