Contents

tulipy 0.4.0

0

Financial Technical Analysis Indicator Library. Python bindings for https://github.com/TulipCharts/t

Financial Technical Analysis Indicator Library. Python bindings for https://github.com/TulipCharts/tulipindicators

Stars: 89, Watchers: 89, Forks: 16, Open Issues: 0

The cirla/tulipy repo was created 3 years ago and the last code push was 4 years ago. The project is moderately popular with 89 github stars!

How to Install tulipy

You can install tulipy using pip

pip install tulipy

or add it to a project with poetry

poetry add tulipy

Package Details

Author
https://github.com/cirla/tulipy/blob/master/AUTHORS
License
LGPL-3.0
Homepage
https://github.com/cirla/tulipy
PyPi:
https://pypi.org/project/tulipy/
GitHub Repo:
https://github.com/cirla/tulipy

Classifiers

  • Office/Business/Financial
  • Scientific/Engineering/Information Analysis
No  tulipy  pypi packages just yet.

Errors

A list of common tulipy errors.

Code Examples

Here are some tulipy code examples and snippets.

Related Packages & Articles

finta 1.3

Common financial technical indicators implemented in Pandas.

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 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.

pandas-datareader 0.10.0

Data readers extracted from the pandas codebase,should be compatible with recent pandas versions