mjag7682 / NLP-of-StockTwits-data-for-predicting-stocks
☆32Updated last year
Alternatives and similar repositories for NLP-of-StockTwits-data-for-predicting-stocks:
Users that are interested in NLP-of-StockTwits-data-for-predicting-stocks are comparing it to the libraries listed below
- ☆10Updated 5 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆72Updated 4 years ago
- Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021☆26Updated 3 years ago
- An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The perfor…☆34Updated last year
- Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021☆108Updated 3 years ago
- ☆77Updated 5 years ago
- In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings☆49Updated 5 years ago
- Stock prediction thru TFT☆37Updated 3 years ago
- Stock prediction with Natural Language Processing☆35Updated 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…☆47Updated 7 years ago
- Earnings-Call-Dataset / MAEC-A-Multimodal-Aligned-Earnings-Conference-Call-Dataset-for-Financial-Risk-PredictionRepository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction☆87Updated last year
- Applying NLP framework to 10-K filings in equity markets☆13Updated 3 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆71Updated 4 years ago
- Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.☆35Updated 4 years ago
- ☆62Updated 3 years ago
- ☆14Updated 4 years ago
- Model news data in short, medium and long term for stock price trend prediction☆20Updated 7 years ago
- Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction☆56Updated last year
- Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.☆64Updated last year
- ☆24Updated last year
- Open code for PriceGraph☆68Updated 9 months ago
- Codes for the paper Stock Trading Volume Prediction with Dual-Process Meta-Learning accepted by ECML PKDD 2022☆35Updated 2 years ago
- ☆20Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- 💰 A collection of finance related machine learning examples☆99Updated 4 years ago
- ☆32Updated 3 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 5 months ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆31Updated 6 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆122Updated 11 months ago