ProShares Short S&P500 -1x Shares
ProShares Short S&P500 -1x Shares (SH) Implied Volatility Current
SH implied volatility is 16%. IV Rank is 39%, placing current premiums in the middle of their 52-week range.
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Tracking SH implied volatility helps you identify when options premiums on ProShares Short S&P500 -1x Shares are historically cheap or expensive, and where the best trades are hiding. ProShares Short S&P500 -1x Shares implied volatility reflects the market's expectation of future price movement: when SH IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor ProShares Short S&P500 -1x Shares'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 SH, tracking metrics like SH 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 SH signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.
ProShares Short S&P500 seeks daily investment results, before fees and expenses, that correspond to the inverse (-1x) of the daily performance of the S&P 500.
Premium sellers, directional traders, and spread builders all need the same starting point: a clear read on where SH implied volatility sits today versus where it has been. Our scanner ranks ProShares Short S&P500 -1x Shares implied volatility against its historical range, surfaces extremes in SH IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether ProShares Short S&P500 -1x Shares 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 18, 2026
Trade options with IV on your side
Track SH IV rank across every expiration, spot where volatility is elevated, and identify high-probability setups before the window closes.
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