Volatility
GET /insights/volatility
Parameters
asset
string
Yes
—
Asset symbol: BTC, ETH, SOL, HYPE, XRP, XAU, WTIOIL, SPYX, NVDAX, GOOGL, TSLA, AAPL
horizon
string
No
24H
1h for short term volatility forecast and 24h for longer term
days
integer
No
14
Number of days to aggregate for the meta-leaderboard ranking
limit
integer
No
10
Number of top miners from the meta-leaderboard to use for analysis
Headers
Authorization
Yes
API key in format: Apikey YOUR_API_KEY
Response
The endpoint returns a comprehensive volatility analysis object containing current price, forecasted volatility (both forward and backward-looking), and realized historical volatility with price/return data.
Response Schema
{
"current_price": number,
"forecast_future": {
"average_volatility": number,
"volatility": number[]
},
"forecast_past": {
"average_volatility": number,
"volatility": number[]
},
"realized": {
"average_volatility": number,
"prices": [
{
"price": number,
"returns": number
}
],
"volatility": number[]
}
}Field Descriptions
current_price
number
Current asset price at time of request
forecast_future.average_volatility
number
Mean of forward-looking volatility predictions
forecast_future.volatility
number[]
Array of predicted future volatility values
forecast_past.average_volatility
number
Mean of backward-looking volatility analysis
forecast_past.volatility
number[]
Array of historical volatility predictions
realized.average_volatility
number
Mean realized volatility over the observation period
realized.prices
array
Historical price observations with computed returns
realized.prices[].price
number
Asset price at observation time
realized.prices[].returns
number
Return from previous observation
realized.volatility
number[]
Realized volatility values corresponding to price observations
Example Request
Example Response
Response Codes
200
Success - returns volatility data
400
Bad Request - invalid parameters
401
Unauthorized - invalid or missing API key
500
Internal Server Error
Use Cases
Options Pricing: Use
forecast_future.average_volatilityas volatility input for pricing modelsPosition Sizing: Scale position sizes inversely with
realized.average_volatilityfor risk managementRegime Detection: Compare
forecast_futurevsrealizedvolatility to detect market regime changesVolatility Trading: Identify mean-reversion opportunities when forecast significantly deviates from realized
Backtesting: Use
realized.pricesarray to reconstruct historical price paths for strategy validation
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