Analytics
Tick Data
Model Overview
This API uses a neuro-symbolic approach to analyse high-frequency tick data, identifying patterns to predict future market trends. Its modular base architecture enables efficient fine-tuning across different time horizons, significantly reducing model development time.
Supported Markets
Bonds
Commodities
Cryptocurrencies
Derivatives
Equities
Foreign Exchange
Indices
REITs
Tokenised Assets
Base URL
Request Endpoint
Model Details
Mandatory Time Periods
1 - 501
Optional Time Periods
502 - 3000
Request Header
Must be set to application/json
The API key used to authenticate requests to the API
Request Body
Response Fields
Trade opportunity timestamp
Request Example
When forecasting future price trends, a future date must be specified (e.g. Jan 2nd at 11:28:00) and unknown values be filled with zeros (0):