finta 1.3

Common financial technical indicators implemented in Pandas.

12-24-2021 127 words One minute 0 views

Contents

Common financial technical indicators implemented in Pandas.

2043 Stars :star:

Stars: 2043, Watchers: 2043, Forks: 673, Open Issues: 24

The peerchemist/finta repo was created 7 years ago and the last code push was 1 years ago.
The project is very popular with an impressive 2043 github stars!

How to Install finta

You can install finta using pip

pip install finta

or add it to a project with poetry

poetry add finta

Package Details

Author: Peerchemist
License: LGPLv3+
Homepage: https://github.com/peerchemist/finta
PyPi:: https://pypi.org/project/finta/
GitHub Repo:: https://github.com/peerchemist/finta

No finta pypi packages just yet.

Errors

A list of common finta errors.

Code Examples

Here are some finta code examples and snippets.

GitHub Issues

The finta package has 24 open issues on GitHub

Chandelier Correct?

See more issues on GitHub

Related Packages & Articles

pandas-ta 0.3.14b

An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib.

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.