Franklin FTSE Mexico ETF
Franklin FTSE Mexico ETF (FLMX) Implied Volatility Current
FLMX implied volatility is 22%. IV Rank is 1%, placing current premiums in the bottom of their 52-week range.
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Tracking FLMX implied volatility helps you identify when options premiums on Franklin FTSE Mexico ETF are historically cheap or expensive, and where the best trades are hiding. Franklin FTSE Mexico ETF implied volatility reflects the market's expectation of future price movement: when FLMX IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor Franklin FTSE Mexico 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 FLMX, tracking metrics like FLMX 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 FLMX signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.
Seeks to provide investment results that closely correspond, before fees and expenses, to the performance of the FTSE Mexico RIC Capped Index (the FTSE Mexico Capped Index).
Premium sellers, directional traders, and spread builders all need the same starting point: a clear read on where FLMX implied volatility sits today versus where it has been. Our scanner ranks Franklin FTSE Mexico ETF implied volatility against its historical range, surfaces extremes in FLMX IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether Franklin FTSE Mexico ETF IV is rich or cheap — measure it, then act on it.
Implied Volatility
IV is compressed vs the past year - options are relatively cheap, favoring buyers.
As of September 17, 2026
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Track FLMX IV rank across every expiration, spot where volatility is elevated, and identify high-probability setups before the window closes.
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