Amplify AI Powered Equity ETF (AIEQ) Historical Volatility

Tracking AIEQ historical volatility helps you see how much Amplify AI Powered Equity 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, Amplify AI Powered Equity ETF's HV tells you what really happened. Use our scanner to monitor AIEQ 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 AIEQ 30 day historical volatility is one of the most widely watched readings because it balances responsiveness with stability. Comparing Amplify AI Powered Equity 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 Amplify AI Powered Equity ETF (AIEQ) seeks investment results that generally correlate (before fees and expenses) to the total return performance of the AI Powered Equity Index that runs on the IBM Watson platform. Leveraging the power of artificial intelligence (AI), the unbiased and data-driven approach revolutionizes security selection by harnessing up to 10 years of historical data and then applying this analysis to recent economic data and news articles to transform security selection.

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 Amplify AI Powered Equity ETF's historical volatility side-by-side with implied readings across every lookback window, so you can see exactly where AIEQ HV is running hot, cold, or in line. Make the AIEQ 30 day historical volatility — and every other window — work for your edge instead of against it.