WayneDW / Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Use NLP to predict stock price movement associated with news
☆797Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆597Updated last year
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆705Updated 8 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,332Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆574Updated last year
- Use deep learning, genetic programming and other methods to predict stock and market movements☆421Updated 3 years ago
- A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement predictio…☆204Updated 5 years ago
- Stock analysis/prediction model using machine learning☆185Updated 6 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆253Updated last year
- A LSTM model using Risk Estimation loss function for stock trades in market☆312Updated 4 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆417Updated 3 years ago
- Using python and scikit-learn to make stock predictions☆1,765Updated 5 months ago
- Regression, Scrapers, and Visualization☆393Updated last year
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,052Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆296Updated 4 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆465Updated 8 years ago
- Technical experimentations to beat the stock market using deep learning☆470Updated 7 years ago
- Introducing neural networks to predict stock prices☆741Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆328Updated last year
- A stock trading bot that uses machine learning to make price predictions.☆624Updated 2 years ago
- Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment ana…☆2,163Updated 11 months ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,255Updated 8 months ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆280Updated last year
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆514Updated 10 months ago
- This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow☆753Updated 3 years ago
- Predict Stocks Market Machine Learning☆252Updated 10 years ago
- Sentiment Analysis of news on stock prices☆120Updated last year
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆275Updated 6 months ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆210Updated 4 years ago
- Applying Reinforcement Learning in Quantitative Trading☆343Updated 9 months ago