#trading-engine #algorithmic-trading #bitmex

bin+lib nautilus-bitmex

BitMEX exchange integration adapter for the Nautilus trading engine

3 releases (breaking)

Uses new Rust 2024

0.52.0 Jan 2, 2026
0.51.0 Oct 26, 2025
0.50.0 Sep 10, 2025

#225 in Simulation

LGPL-3.0-or-later and AGPL-3.0-only

12MB
252K SLoC

nautilus-bitmex

build Documentation crates.io version license Discord

NautilusTrader adapter for the BitMEX cryptocurrency exchange.

The nautilus-bitmex crate provides client bindings (HTTP & WebSocket), data models and helper utilities that wrap the official BitMEX API.

The official BitMEX API reference can be found at https://www.bitmex.com/app/apiOverview.

Platform

NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, providing quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes.

NautilusTrader's design, architecture, and implementation philosophy prioritizes software correctness and safety at the highest level, with the aim of supporting mission-critical, trading system backtesting and live deployment workloads.

Feature flags

This crate provides feature flags to control source code inclusion during compilation:

  • python: Enables Python bindings from PyO3.
  • extension-module: Builds as a Python extension module (used with python).

Documentation

See the docs for more detailed usage.

License

The source code for NautilusTrader is available on GitHub under the GNU Lesser General Public License v3.0. Contributions to the project are welcome and require the completion of a standard Contributor License Agreement (CLA).


NautilusTrader™ is developed and maintained by Nautech Systems, a technology company specializing in the development of high-performance trading systems. For more information, visit https://nautilustrader.io.

logo

© 2015-2026 Nautech Systems Pty Ltd. All rights reserved.

Dependencies

~115–165MB
~3.5M SLoC