pie33000 / stock-predictionLinks
Stock prediction from news with deep learning
☆8Updated 6 years ago
Alternatives and similar repositories for stock-prediction
Users that are interested in stock-prediction are comparing it to the libraries listed below
Sorting:
- Model news data in short, medium and long term for stock price trend prediction☆20Updated 7 years ago
- Stock prediction with Natural Language Processing☆35Updated 6 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 5 years ago
- Stock Price Predictor☆31Updated 6 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Updated 4 years ago
- ☆18Updated 3 years ago
- ☆18Updated 5 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 4 years ago
- ☆10Updated 6 years ago
- ☆59Updated 5 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆33Updated last year
- ☆38Updated last year
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Updated 4 years ago
- Codes for the paper 'Clustering Approaches for Global Minimum Variance Portfolio'☆22Updated 3 years ago
- ☆19Updated 8 years ago
- A modification of traditional random forest for time-series forecasting☆12Updated last year
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago
- Time-Series Momentum Strategies☆12Updated 7 years ago
- A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.☆26Updated 4 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆49Updated 5 years ago
- ☆19Updated 4 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆16Updated 6 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- ☆77Updated 5 years ago
- This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…☆21Updated 4 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Updated 2 years ago
- The project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data …☆14Updated 7 years ago
- Alpha model skeletons & examples☆12Updated last year
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆14Updated 2 years ago