Alpha Architect U.S. Quantitative Momentum ETF (QMOM) Historical Volatility

Tracking QMOM historical volatility helps you see how much Alpha Architect U.S. Quantitative Momentum 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, Alpha Architect U.S. Quantitative Momentum ETF's HV tells you what really happened. Use our scanner to monitor QMOM 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 QMOM 30 day historical volatility is one of the most widely watched readings because it balances responsiveness with stability. Comparing Alpha Architect U.S. Quantitative Momentum 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 Adviser employs a multi-step, quantitative, rules-based methodology to identify a portfolio of approximately 50 to 100 equity securities with the highest relative momentum. A “momentum” style of investing emphasizes investing in securities that have had higher recent total return performance compared to other securities. The Adviser then employs proprietary screens to eliminate companies with issues that may negatively impact their momentum. The fund may also invest up to 20% of its assets in cash and cash equivalents, other investment companies, as well as securities and other instruments.

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 Alpha Architect U.S. Quantitative Momentum ETF's historical volatility side-by-side with implied readings across every lookback window, so you can see exactly where QMOM HV is running hot, cold, or in line. Make the QMOM 30 day historical volatility — and every other window — work for your edge instead of against it.