ta 0.11.0

Technical Analysis Library in Python

12-24-2021 245 words 2 minutes 0 views

Contents

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.

4887 Stars :star:

Stars: 4887, Watchers: 4887, Forks: 1123, Open Issues: 151

The bukosabino/ta repo was created 8 years ago and the last code push was 1 years ago.
The project is very popular with an impressive 4887 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

No ta pypi packages just yet.

Errors

A list of common ta errors.

Code Examples

Here are some ta code examples and snippets.

ta code examples
This python code example will show you how to use the ta python package to perform technical analysis on historical stock data such as RSI, SMA, Bollinger Bands, and Stochastic Oscillator.