finta VS documentation

Compare finta vs documentation and see what are their differences.

finta

Common financial technical indicators implemented in Pandas. (by peerchemist)

documentation

This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/ (by quantiacs)
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finta documentation
5 1
1,728 2
- -
2.7 6.2
almost 2 years ago 11 days ago
Python Stylus
GNU Lesser General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

finta

Posts with mentions or reviews of finta. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.

documentation

Posts with mentions or reviews of documentation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing finta and documentation you can also consider the following projects:

pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

quantstats - Portfolio analytics for quants, written in Python

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).

ib_insync - Python sync/async framework for Interactive Brokers API

fast-trade - low code backtesting library utilizing pandas and technical analysis indicators

Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

trading-ig - A lightweight Python wrapper for the IG Markets API

ta - Technical Analysis Library using Pandas and Numpy

backtrader - Python Backtesting library for trading strategies