tensortrade 1.0.3

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

Stars: 4527, Watchers: 4527, Forks: 1021, Open Issues: 52

The tensortrade-org/tensortrade repo was created 5 years ago and the last code push was 4 months ago.
The project is very popular with an impressive 4527 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

Related Packages

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