AIMovement / Two-Sigma-Using-News-to-Predict-Stock-MovementsLinks
Repository for the Kaggle competition: Two Sigma: Using News to Predict Stock Movements (https://www.kaggle.com/c/two-sigma-financial-news/data)
☆39Updated 6 years ago
Alternatives and similar repositories for Two-Sigma-Using-News-to-Predict-Stock-Movements
Users that are interested in Two-Sigma-Using-News-to-Predict-Stock-Movements are comparing it to the libraries listed below
Sorting:
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- ☆25Updated 6 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆84Updated 7 years ago
- ☆61Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Embedding stocks to vectors based on the price history☆64Updated 8 years ago
- the book with script☆79Updated 7 years ago
- A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parame…☆67Updated 7 years ago
- ☆18Updated 5 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Kaggle Two Sigma 2nd Prize Winning Code https://www.kaggle.com/c/two-sigma-financial-news☆14Updated last year
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening fr…☆62Updated 7 years ago
- Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.☆35Updated 5 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 8 years ago
- Deep learning for forecasting company fundamental data☆142Updated 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
- A framework for training and evaluating deep learning models in Quantitative trading domain☆54Updated 5 years ago
- Predict stock price based on financial news feeds☆59Updated 7 years ago
- Stock prediction with Natural Language Processing☆35Updated 6 years ago
- ☆38Updated last year
- This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. …☆47Updated 7 years ago
- ipython notebooks from quantopian lectures series☆21Updated 10 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Machine Learning for Quantitative Finance☆24Updated 7 years ago
- Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.☆67Updated 3 months ago
- BERT for Finance : UC Berkeley MIDS w266 Final Project☆203Updated 5 years ago
- NLP papers applicable to financial markets☆135Updated 4 years ago
- Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction☆29Updated 8 years ago
- Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…☆27Updated 3 years ago