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Framework for algorithmic trading

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amor71/LiuAlgoTrader

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pdm-managedPyPI - Python VersionPython 3UpdatesDocumentation StatusTested with HypothesisGitterSourcerycodecov

Introduction

LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading. The framework simplifies development, testing, deployment, analysis, and training algo trading strategies. The framework automatically analyzes trading sessions, hyper-parameters optimization, and the analysis may be used to train predictive models.

The framework currently support trading and back-testing of US Equities, and Crypto strategies.

LiuAlgoTrader can run on a laptop andhedge-on-the-go, or run on a multi-core hosted Linux server and it will automatically optimize for best performance for either. LiuAlgoTrader is a full trading platform with a breath of tools to manage automated investment portfolios.

LiuAlgoTrader supports:

See LiuAlgoTrader in Action

LiuAlgoTrader comes equipped with powerful & user-friendly back-testing tool.

Quick-start

Prerequisite

Install & Configure

Step 1:To install LiuAlgoTrader just type:

pip install liualgotrader

Having issues installation? check out theinstallation FAQ page

Step 2: To configure the frame work type:

liu quickstart

and follow the installation wizard instructions. The wizard will walk youthrough the configuration of environment variables, setup of a localdockerized PostgreSQL and pre-populate with test data.

Note forWINDOWS users

Try the samples

LiuAlgoTraderquickstart wizard installs samples allowing a first-time experience of the framework. Follow the post-installation instructions, and try to back-test a specific day.

Additional samples can we found in theexamples directory.

Tutorials

LiuAlgoTraders articles are published onMedium:

Back-testing

While Liu is first and foremost a trading platform, it comes equipped with full back-testing capabilities, providing command-line tool & jupyter notebook for analysis, and a browser-based UI covering both functionalities.

Machine Learning

These features are still work in process:

Analysis & Analytics

The framework includes a wide ranges of analysisJupyter Notebooks, as well asstreamlit applications for analysis for both trading and back-testing sessions. To name a few of the visual analytical tools:

  • tear-sheet analysis,
  • gain&loss analysis,
  • anchored-VWAPs,
  • indicators & distributions

What's Next?

Read thedocumentation and learn how to use LiuAlgoTrader to develop, deploy & testing money making strategies.

Watch the Evolution

LiuAlgoTrader is an ever evolving platform, to glimpse the concepts, thoughts and ideasvisit thedesign folder and feel free to comment.

Contributing

Would you like to help improve & evolve LiuAlgoTrader?Do you have a suggestion, comment, idea for improvement ora have a wish-list item? Please read ourContribution Document oremail me atamor71@sgeltd.com

Contributors

Special thanks to the below individuals for their comments, reviews and suggestions:


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