pandas-ta VS Stock-Market-Prediction

Compare pandas-ta vs Stock-Market-Prediction and see what are their differences.

Stock-Market-Prediction

This project aims to predict future values ​​on the stock market for a stock using projections with facebook prophet. (by LucasDiogo96)
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pandas-ta Stock-Market-Prediction
17 1
4,708 5
- -
0.0 0.0
10 days ago about 2 years ago
Python Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

Stock-Market-Prediction

Posts with mentions or reviews of Stock-Market-Prediction. 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 pandas-ta and Stock-Market-Prediction you can also consider the following projects:

ta - Technical Analysis Library using Pandas and Numpy

Yahooquery - Python wrapper for an unofficial Yahoo Finance API

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

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

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

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

static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation

nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more