Stock-data Libraries

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Stock-data Libraries

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Recent released features Features released before 2021 are not listed here. Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, …

The official Python client library for the Polygon REST and WebSocket API.

Before installing the Polygon Python client, ensure your environment has Python 3.8 or higher. While most Python environments come with setuptools installed, it is a dependency for this library. In t…

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Examples of python neural net and ML stock prediction methods with sample stock data.

Simple ML and NN methods for those looking to learn new techniques for stock prediction. These examples are meant to be easy to understand and highlight the essential components of each method. Examp…

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

I am working on command line argument version where you will be able to download selected stocks with this snippet too. This script can run on multiple Operating Systems. Follow the instructions ment…

Simple Python client for Barchart OnDemand REST APIs

Get access to market data and the OnDemand APIs in just a few lines of code.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning. It has two main class modules PriceTradeAnaly…

A handy tool for screening stocks based on certain criteria from several markets around the world. The list can then be delivered to your email address (one-off or regularly via crontab).

Therefore, I created this module to support my own investment activity. What it does: Tested with, and assumes you already have at your disposal: Install git Copy the repository on your computer and …

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