yumoxu / stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
☆598Updated 5 years ago
Alternatives and similar repositories for stocknet-dataset:
Users that are interested in stocknet-dataset are comparing it to the libraries listed below
- Code for stock movement prediction from tweets and historical stock prices.☆207Updated 5 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆470Updated 3 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆168Updated 5 years ago
- Astock☆216Updated last year
- This is the project for deep learning in stock market prediction.☆215Updated last month
- ☆59Updated 4 years ago
- This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", publis…☆435Updated 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
- This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.o…☆501Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆446Updated 3 years ago
- Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, I…☆270Updated last month
- Use NLP to predict stock price movement associated with news☆808Updated 7 months ago
- A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097☆588Updated last year
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆293Updated 2 years ago
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆247Updated 2 months ago
- Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021☆108Updated 3 years ago
- ☆142Updated last year
- ☆62Updated 3 years ago
- Deep Learning Statistical Arbitrage☆215Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆342Updated 2 years ago
- Reinforcement Learning for Portfolio Management☆462Updated 6 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆552Updated 2 weeks ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆263Updated last year
- This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (…☆242Updated 2 years ago
- Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets☆410Updated 6 years ago
- Intra day Stock Prediction 10 minutes into the future☆103Updated 5 years ago
- ☆191Updated last year
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆240Updated 3 years ago
- GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hed…☆243Updated 3 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆311Updated 7 years ago