awrd2019 / Reddit-Sentiment-NLP-for-Trading
Using Reddit market sentiment to predict stock prices.
☆44Updated 4 years ago
Alternatives and similar repositories for Reddit-Sentiment-NLP-for-Trading:
Users that are interested in Reddit-Sentiment-NLP-for-Trading are comparing it to the libraries listed below
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 7 years ago
- ☆48Updated 8 years ago
- Generate various Alternative Bars both historically and at real-time.☆34Updated 2 years ago
- Pull price targets from IEXCloud and paper trade on Alpaca 🦙☆12Updated 4 years ago
- ☆54Updated 6 years ago
- stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.☆37Updated last year
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Quantitative Finance using python - Derivatives Pricing☆44Updated 7 years ago
- This program analyzes unusual options activity by using a weighted average based on a trade's volume to compare all of the unusual otm op…☆65Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆74Updated 4 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
- 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
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆46Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆42Updated 5 years ago
- Developing a trend following model using futures☆31Updated last year
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆63Updated 5 years ago
- MIT Trading Competition algorithmic trading of options and securities☆42Updated 6 years ago
- A Python toolkit for high-frequency trade research.☆40Updated 6 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆124Updated 5 years ago
- Machine learning end-to-end research and trade execution☆95Updated 4 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆26Updated 7 years ago
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆39Updated last year
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆52Updated 3 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- This is the code for project 5 from Udacity's AI for Trading nanodegree program☆16Updated last year