tradezero-api VS pandas-ta

Compare tradezero-api vs pandas-ta and see what are their differences.

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tradezero-api pandas-ta
2 17
27 4,774
- -
5.2 0.0
9 months ago 16 days ago
Python Python
MIT License 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.

tradezero-api

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

pandas-ta

Posts with mentions or reviews of pandas-ta. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-23.

What are some alternatives?

When comparing tradezero-api and pandas-ta you can also consider the following projects:

tstock - 📈A command line tool to view stock charts in the terminal.

ta - Technical Analysis Library using Pandas and Numpy

alpaca-trade-api-python - Python client for Alpaca's trade API

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

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences

deep-RL-trading - playing idealized trading games with deep reinforcement learning

finta - Common financial technical indicators implemented in Pandas.

node-talib - A technical analysis library for node.js

py-market-profile - A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value