Popular GitHub Repositories for Stock Price Prediction

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Use unsupervised and supervised learning to predict stocks

? Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Stock Trading Bot using Deep Q-Learning

Portfolio optimization with deep learning.

Use NLP to predict stock price movement associated with news

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Programs for stock prediction and evaluation

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

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

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

Intra day Stock Prediction 10 minutes into the future

stock prediction with GAN and WGAN

A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.

A curated list of repositories for my book Machine Learning Solutions.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

:dart: predict the price trend of individual stocks using deep learning and natural language processing

Model using CNN and LSTM to predict the price of US stocks.