Shuailong / StockPredictionLinks
An attempt to use financial news to predict stock market
☆15Updated 6 years ago
Alternatives and similar repositories for StockPrediction
Users that are interested in StockPrediction are comparing it to the libraries listed below
Sorting:
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…☆25Updated 7 years ago
- LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31…☆9Updated 7 years ago
- Embedding stocks to vectors based on the price history☆64Updated 8 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆62Updated 11 years ago
- Pythonic S&P 500 Index Prediction (Portfolio Project at DSR)☆26Updated 10 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Updated 8 years ago
- Stock Market Lexicon☆40Updated 8 years ago
- Predicting stocks with ML.☆43Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening fr…☆60Updated 7 years ago
- ☆18Updated 5 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆82Updated 5 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 8 years ago
- Reuters and Bloomberg☆247Updated 2 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Updated 8 years ago
- (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the netw…☆24Updated 7 years ago
- Model news data in short, medium and long term for stock price trend prediction☆20Updated 7 years ago
- Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…☆17Updated 8 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- Using recurrent neural networks with LSTM cells to predict stock prices. Takes into account twitter trends.☆17Updated 7 years ago
- A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods☆30Updated 9 years ago
- This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by A…☆42Updated 4 years ago
- Generating NEW Reuters articles from Reuters articles.☆15Updated 8 years ago
- In this project, we use two sets of data to draw insights on how media sentiment can be an indicator for the financial sector. For the fi…☆11Updated 8 years ago
- Deep learning for forecasting company fundamental data☆140Updated 5 years ago