Popular GitHub Repositories for Stocks

Investment Research for Everyone, Everywhere.

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.

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

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends

Use AI to generate a optimized stock portfolio

tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights.

Machine Learning Project applied to stock market portfolio optimization

This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock

Analyzes the sentiment of SEC quarterly earnings reports to predict future stock prices

Implementation of various Neural Network using Keras for predicting Stocks Market (BM&F Bovespa future contracts of dollar - Mini Dolar) and Bitcoin.

LeNet as a Feature Engineer-> LSTM for timeseries predicitions

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators

Order execution in the financial markets using Deep Reinforcement Learning.

We scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.

Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER

Stock prediction via sentiment analysis of financial news. Winner of VITHack 2020 in FinTech Domain

In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz.