Franklin Intelligent Machines ETF
Franklin Intelligent Machines ETF (IQM) Historical Volatility
IQM 30-day historical volatility is 36%. This ranks in the 59th percentile of readings over the past year.
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Tracking IQM historical volatility helps you see how much Franklin Intelligent Machines ETF's stock price has actually moved over past periods, giving you a baseline to judge whether current option premiums are fair, cheap, or expensive. While implied volatility tells you what the market expects, Franklin Intelligent Machines ETF's HV tells you what really happened. Use our scanner to monitor IQM 30 day historical volatility alongside longer lookback windows and spot the moments when realized and implied diverge.
Historical volatility is the annualized standard deviation of an underlying's past returns, typically measured over rolling windows like 10, 20, 30, or 60 days. The IQM 30 day historical volatility is one of the most widely watched readings because it balances responsiveness with stability. Comparing Franklin Intelligent Machines ETF's HV to its implied volatility reveals the volatility risk premium — when IV sits well above HV, option sellers tend to have an edge; when HV runs hot relative to IV, buyers may be underpaying for movement.
The fund seeks capital appreciation by investing in equity securities inside and outside of the United States, including developing or emerging markets. The fund invests in companies that are relevant to its investment theme of intelligent machines that the investment manager believes are substantially focused on/or are expected to substantially benefit from the ongoing technology-driven transformation of products, software, systems and machinery as well as product design, manufacture, logistics, distribution and maintenance, including through developments in artificial intelligence.
Sizing a long premium trade, modeling a covered call, or hunting volatility arbitrage all come back to one question: how much has the stock actually moved? Our scanner puts Franklin Intelligent Machines ETF's historical volatility side-by-side with implied readings across every lookback window, so you can see exactly where IQM HV is running hot, cold, or in line. Make the IQM 30 day historical volatility — and every other window — work for your edge instead of against it.
As of September 25, 2026
As of September 25, 2026
See how volatility has moved over time
Track IQM historical volatility, spot where IV and realized volatility diverge, and find options that are priced in your favor right now.
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