Service Properties Trust (SVC) Historical Volatility

Tracking SVC historical volatility helps you see how much Service Properties Trust'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, Service Properties Trust's HV tells you what really happened. Use our scanner to monitor SVC 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 SVC 30 day historical volatility is one of the most widely watched readings because it balances responsiveness with stability. Comparing Service Properties Trust'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.

Service Properties Trust is a real estate investment trust, or REIT, which owns a diverse portfolio of hotels and net lease service and necessity-based retail properties across the United States and in Puerto Rico and Canada with 149 distinct brands across 23 industries. SVC's properties are primarily operated under long-term management or lease agreements. SVC is managed by the operating subsidiary of The RMR Group Inc. (Nasdaq: RMR), or RMR Inc., an alternative asset management company that is headquartered in Newton, Massachusetts.

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