ta 0.11.0

ta is a Python module that provides a technical analysis library, designed to enable feature engineering from financial time series datasets. It is built on the pandas and numpy libraries and offers a wide range of indicators such as volume, volatility, trend, and momentum indicators. ta is designed for Python developers working in the financial sector, making it a valuable asset in the field of Financial Software and Fintech Solutions, particularly for those developing trading algorithms or investment strategies.

Stars: 4020, Watchers: 4020, Forks: 839, Open Issues: 130

The bukosabino/ta repo was created 6 years ago and the last code push was 2 weeks ago.
The project is very popular with an impressive 4020 github stars!

How to Install ta

You can install ta using pip

pip install ta

or add it to a project with poetry

poetry add ta

Package Details

Author

Dario Lopez Padial (Bukosabino)

License

The MIT License (MIT)

Homepage

https://github.com/bukosabino/ta

PyPi:

https://pypi.org/project/ta/

GitHub Repo:

https://github.com/bukosabino/ta

Classifiers

Related Packages

Errors

A list of common ta errors.

Code Examples

Here are some ta code examples and snippets.

GitHub Issues

The ta package has 130 open issues on GitHub

• Trix indicator fillna value is wrong
• Definition mapping from feature name to the actual technical indicator name?
• Adjusted starting indices for adx_pos and adx_neg
• Create index.rst
• VWAP implementation is of MWAP not VWAP
• Create a wheel version of TA
• VWAP indicator is wrong
• Suggestion: KDJ is a very very good indicator.
• Suggestion to add Hash Ribbons.
• add missing iloc
• Enhancement/Request: Klinger Oscillator
• Feature Request, Implementation of Chart Pattern Detection
• adding laggin span line to ta.momentum.IchimokuIndicator
• Supertrend indicator
• ta.volume.MFIIndicator not working

See more issues on GitHub