Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Stock Prediction Models | 6,233 | a year ago | 46 | apache-2.0 | Jupyter Notebook | |||||
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations | ||||||||||
Stocksight | 1,557 | 2 years ago | 8 | apache-2.0 | Python | |||||
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis | ||||||||||
Stock Rnn | 1,339 | 2 years ago | 20 | Python | ||||||
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings. | ||||||||||
Stockpriceprediction | 1,132 | a year ago | 10 | mit | Jupyter Notebook | |||||
Stock Price Prediction using Machine Learning Techniques | ||||||||||
Personae | 1,034 | 6 years ago | 8 | mit | Python | |||||
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading. | ||||||||||
Gekko Strategies | 829 | 4 years ago | 15 | JavaScript | ||||||
Strategies to Gekko trading bot with backtests results and some useful tools. | ||||||||||
Trading Bot | 758 | 7 months ago | 16 | mit | Jupyter Notebook | |||||
Stock Trading Bot using Deep Q-Learning | ||||||||||
Sentiment Analysis In Event Driven Stock Price Movement Prediction | 462 | 5 years ago | mit | Python | ||||||
Use NLP to predict stock price movement associated with news | ||||||||||
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis | 460 | 5 months ago | 21 | mit | Python | |||||
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 | ||||||||||
Stocks_rnn | 405 | 8 years ago | 5 | apache-2.0 | Python | |||||
Stock price prediction with LSTMs in TensorFlow |