Invesco Bloomberg Financial Data Providers ETF

FDIQNASDAQ · USD
67.47USD-1.30 (-1.90%)

Invesco Bloomberg Financial Data Providers ETF (FDIQ) Historical Volatility

FDIQ 30-day historical volatility is 19%. This ranks in the —th percentile of readings over the past year.

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Tracking FDIQ historical volatility helps you see how much Invesco Bloomberg Financial Data Providers 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, Invesco Bloomberg Financial Data Providers ETF's HV tells you what really happened. Use our scanner to monitor FDIQ 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 FDIQ 30 day historical volatility is one of the most widely watched readings because it balances responsiveness with stability. Comparing Invesco Bloomberg Financial Data Providers 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 generally will invest at least 90% of its total assets in securities that comprise the New Underlying Index. The Index Provider compiles, maintains and calculates the New Underlying Index, which is designed to track the companies that, in the view of the Index Provider, provide essential services and technologies to the global financial system utilizing research from Bloomberg Intelligence (BI) (an affiliate of the Index Provider) and industry classifications pursuant to the Bloomberg Industry Classification Standard (BICS). To be eligible for inclusion in the New Underlying Index, a security must (i) be part of the Bloomberg developed markets universe (which as of the date of this document, consists of Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Hong Kong, Ireland, Israel, Italy, Japan, the Netherlands, New Zealand, Norway, Portugal, Singapore, Spain, Switzerland, Sweden, the United Kingdom and the United States), (ii) be classified by the Index Provider pursuant to BICS as a financial information services company or a security & commodity exchanges company, or be classified by BI as a enterprise fintech company within BIs capital markets category, (iii) qualify as a large-, mid-, or small-capitalization company based on metrics developed by the Index Provider, (iv) have minimum free float market capitalization of $500 million, and (v) have a minimum 90-day average daily value traded of $5 million.

Each security is weighted based on its modified market capitalization. The maximum weight of each security is generally capped at 4.5% of the New Underlying Index. The New Underlying Index is rebalanced quarterly after the close of trading on the third Friday of January, April, July and October.

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

IV vs HV
Implied Volatility (IV) vs Historical Volatility (HV) over the past month.

As of September 28, 2026

IV - HV Difference
Difference between IV and HV over time. Positive values indicate IV > HV.

As of September 28, 2026

See how volatility has moved over time

Track FDIQ historical volatility, spot where IV and realized volatility diverge, and find options that are priced in your favor right now.

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