Quickstart

Python, Node.js, HTTP API and tardis-machine — choose the right access method

Python Client

tardis-dev package for historical replay, CSV dataset downloads and exchange metadata.

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 us 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 months ago

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