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AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. A basic level of experience with Python is recommended for using AutoTrader, but the docs aim to make using it as easy as possible with detailed tutorials and documentation.

Latest News

Features

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Supported Brokers and Exchanges

BrokerAsset classesIntegration status
OandaForex CFDsComplete
Interactive BrokersManyIn progress
CCXTCryptocurrenciesIn progress
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Installation

AutoTrader can be installed using pip:

pip install autotrader

Updating

AutoTrader can be updated by appending the --upgrade flag to the install command:

pip install autotrader --upgrade
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Documentation

AutoTrader is very well documented in-code and on Read the Docs. There is also a detailed walthrough, covering everything from strategy concept to livetrading.

Example Strategies

Example strategies can be found in the demo repository.

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Backtest Demo

The chart below is produced by a backtest of the MACD trend strategy documented in the tutorials (and available in the demo repository). Entry signals are defined by MACD crossovers, with exit targets defined by a 1.5 risk-to-reward ratio. Stop-losses are automatically placed using the custom swing detection indicator, and position sizes are dynamically calculated based on risk percentages defined in the strategy configuration.

Running this strategy with AutoTrader in backtest mode will produce the following interactive chart.

MACD-backtest-demo

Note that stop loss and take profit levels are shown for each trade taken. This allows you to see how effective your exit strategy is - are you being stopped out too early by placing your stop losses too tight? Are you missing out on otherwise profitable trades becuase your take profits are too far away? AutoTrader helps you visualise your strategy and answer these questions.

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Contributing

To contribute to autotrader, please read the instructions below, and stick to the styling of the code.

Setting up for Development

  1. Create a new Python virtual environment to isolate the package. You can do so using venv or anaconda.

  2. Install the code in editable mode using the command below (run from inside the autotrader root directory). Also install all dependencies using the [all] command, which includes the developer dependencies.

pip install -e .[all]
  1. Install the pre-commit hooks.
pre-commit install
  1. Start developing! After following the steps above, you are ready to start developing the code. Make sure to follow the guidelines below.

Developing AutoTrader

Building the Docs

To build the documentation, run the commands below.

cd docs/
make html
xdg-open build/html/index.html

If you are actively developing the docs, consider using sphinx-autobuild. This will continuosly update the docs for you to see any changes live, rather than re-building repeatadly. From the docs/ directory, run the following command:

sphinx-autobuild source/ build/html --open-browser
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Legal

License

AutoTrader is licensed under the GNU General Public License v3.0.

Disclaimer

Never risk money you cannot afford to lose. Always test your strategies on a paper trading account before taking it live.

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