Contents

tensortrade 1.0.3

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TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading

TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.

Stars: 4356, Watchers: 4356, Forks: 1001, Open Issues: 52

The tensortrade-org/tensortrade repo was created 4 years ago and the last code push was 2 months ago.
The project is very popular with an impressive 4356 github stars!

How to Install tensortrade

You can install tensortrade using pip

pip install tensortrade

or add it to a project with poetry

poetry add tensortrade

Package Details

Author
Adam King <[email protected]>, Matthew Brulhardt <[email protected]>
License
Apache 2.0
Homepage
https://github.com/tensortrade-org/tensortrade
PyPi:
https://pypi.org/project/tensortrade/
GitHub Repo:
https://github.com/tensortrade-org/tensortrade

Classifiers

  • Office/Business/Financial
  • Office/Business/Financial/Investment
  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Information Analysis
  • Software Development/Libraries
  • Software Development/Libraries/Python Modules
  • System/Distributed Computing
No  tensortrade  pypi packages just yet.

Errors

A list of common tensortrade errors.

Code Examples

Here are some tensortrade code examples and snippets.

GitHub Issues

The tensortrade package has 52 open issues on GitHub

  • Extract the random start feature
  • Write a compatibility matrix between TensorTrade, Ray, PyTorch, etc
  • [Suggestion] Quantstats report.
  • [Suggestion] Feature helper
  • [Suggestion] More / better reward schemes
  • Random starting point in the env to avoid overfitting?
  • Test Unseen data
  • timed criteria possible error
  • Iterating multiple streams in Exchange Module
  • use tensorboard to monitor training/testing
  • renderers_and_plotly_chart ValueError: Invalid format string

See more issues on GitHub

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