Snowflake Inc (SNOW) Historical Volatility

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

Snowflake Inc. provides a cloud-based data platform in the United States and internationally. The company's platform offers Data Cloud, which enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data-driven applications, and share data. Its platform is used by various organizations of sizes in a range of industries. The company was formerly known as Snowflake Computing, Inc. and changed its name to Snowflake Inc. in April 2019. Snowflake Inc. was incorporated in 2012 and is based in Bozeman, Montana.

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