The package is tested against Python 3.8, 3.9 and 3.10 on 64-bit Linux, macOS and Windows. We recommend running the platform with the latest stable version of Python, and in a virtual environment to isolate the dependencies.

To install numpy and scipy on ARM architectures such as MacBook Pro M1 / Apple Silicon, this stackoverflow thread is useful.

From PyPI

To install the latest binary wheel (or sdist package) from PyPI:

pip install -U nautilus_trader


Also, the following optional dependency ‘extras’ are separately available for installation.

  • hyperopt - package required for model hyperparameter optimization in backtests

  • ib - package required for the Interactive Brokers adapter

  • redis - packages required to use Redis as a cache database

For example, to install including the ib and redis extras using pip:

pip install -U nautilus_trader[ib,redis]

From Source

Installation from source requires the Python.h header file, which is included in development releases such as python-dev . You’ll also need the latest stable rustc and cargo to compile the Rust libraries.

It’s possible to install from source using pip if you first install the build dependencies as specified in the pyproject.toml . However, we highly recommend installing using poetry as below.

  1. Install rustup (the Rust toolchain installer):

  2. Enable cargo in the current shell:

    • Linux and macOS:

      source $HOME/.cargo/env
    • Windows:

      • Start a new PowerShell

  3. Install poetry (or follow the installation guide on their site):

    curl -sSL | python3 -
  4. Clone the source with git , and install from the projects root directory:

    git clone
    cd nautilus_trader
    poetry install --no-dev

From GitHub Release

To install a binary wheel from GitHub, first navigate to the latest release . Download the appropriate .whl for your operating system and Python version, then run:

pip install <file-name>.whl