Python, Node.js, HTTP API and tardis-machine — choose the right access method
Python Client
Historical market data replay and CSV dataset downloads with built-in data caching.
Node.js Client
Historical replay, real-time streaming, data normalization and order book reconstruction.
Tardis Machine
Locally runnable server with HTTP and WebSocket APIs — replay and real-time streaming with built-in caching.
HTTP API
Raw historical market data feeds in minute-by-minute NDJSON slices in exchange-native format.
C++, Java, Rust, C#, Go and R — use HTTP API directly, connect to tardis-machine HTTP/WebSocket endpoints, or download CSV datasets. Contact usarrow-up-right if you need help with integration.
See downloadable CSV files docs if you'd like to access historical CSV datasets with normalized data.
Last updated 2 hours ago
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