awrd2019 / Reddit-Sentiment-NLP-for-TradingLinks
Using Reddit market sentiment to predict stock prices.
☆46Updated 5 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
Sorting:
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- ☆74Updated 5 years ago
- Machine learning end-to-end research and trade execution☆98Updated 4 years ago
- Live and historical scraper for Reuters.☆39Updated 4 years ago
- Machine Learning Hedge Fund☆38Updated 4 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- Backtesting toolbox for trading strategies☆113Updated last year
- A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.☆56Updated 4 years ago
- Advances in Financial Machine Learning by Marcos Lopez De Prado☆54Updated 6 years ago
- Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms☆160Updated 7 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 4 years ago
- This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock☆29Updated 3 years ago
- ☆35Updated 7 years ago
- ☆36Updated 7 years ago
- A Python toolkit for high-frequency trade research.☆42Updated 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…☆67Updated 2 years ago
- Cleaned data for use in stock predicting algorithms☆11Updated 8 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆57Updated 6 years ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆73Updated 5 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Deep learning for forecasting company fundamental data☆142Updated 6 years ago
- How to detect stock market crashes with topology.☆82Updated 4 years ago
- Research and Backtests I have been working on...enjoy☆70Updated 4 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 7 years ago
- A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P…☆75Updated 5 years ago
- Visual style support and resistance detection using Python code☆64Updated 6 years ago
- Quantopian Pairs Trading algorithm implementation.☆64Updated 8 years ago
- Contains the code for my financial machine learning articles☆49Updated 4 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- finance☆43Updated 8 years ago