wyu-du / StockForecast
predict the price trend of individual stocks using deep learning and natural language processing
☆76Updated 7 years ago
Alternatives and similar repositories for StockForecast:
Users that are interested in StockForecast are comparing it to the libraries listed below
- copper price(time series) prediction using bpnn and lstm☆106Updated 6 years ago
- 📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like pre…☆51Updated 6 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
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- ☆114Updated 8 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆145Updated 7 years ago
- Stock analysis/prediction model using machine learning☆186Updated 7 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 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
- stock predict by cnn and lstm☆38Updated 6 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆95Updated 5 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆163Updated 5 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 3 years ago
- Stock prediction project using Recurrent Neural Network and LSTM☆43Updated 8 years ago
- This program focused on the core concepts and practice of quantitative investment (multi-factor combination analysis, technical analysis …☆42Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆82Updated 7 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆105Updated 6 years ago
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆77Updated 7 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆197Updated 4 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆62Updated 11 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆100Updated 4 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆51Updated 2 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆266Updated last year
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆134Updated 2 years ago