Realized Volatility
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The rolling realized volatility, measured as the standard deviation of the natural log of returns prices in U.S. dollars calculated every 10 minutes over the specified interval.
volatility_realized_usd_rolling_24h
The 24 hour rolling realized volatility, measured as the standard deviation of the natural log of returns calculated every 10 minutes over the past 24 hours.
10m, 1h, 1d
volatility_realized_usd_rolling_7d
The 7 day rolling realized volatility, measured as the standard deviation of the natural log of returns calculated every 10 minutes over the past 7 days.
10m, 1h, 1d
volatility_realized_usd_rolling_30d
The 30 day rolling realized volatility, measured as the standard deviation of the natural log of returns calculated every 10 minutes over the past 30 days.
10m, 1h, 1d
Coin Metrics calculates realized volatility using our as the price input. Volatility is calculated using the close-to-close method, as this is optimal for continuous markets and is widely accepted across financial literature. For this calculation we use the population mean with zero drift, meaning the formula reduces to:
Where is the realized volatility (annualized), is the lookback window, is the real-time reference rate price at time , and is the time adjustment factor. Using an average return of 0 is standard in these calculations as it avoids misleading volatility numbers during sustained periods of substantially high or low return.
The real-time reference rates are resampled to calculate returns over a 10 minute period, as this frequency captures the rapid nature of volatility in cryptocurrency markets. Volatility is then annualized by setting , as crypto markets trade 24 hours a day each day of the year. Volatility can then be calculated on a rolling window with a specified lookback.
The metrics are served through the following endpoints:
The realized volatility metrics are presented in raw units. For instance, a value of 0.5223685
should be interpreted as 52.23685%
.
A sample of the volatility_realized_usd_rolling_30d
metric for the asset btc
from our /timeseries/asset-metrics
API endpoint is provided below. You can view this example in your browser .