awrd2019 / Reddit-Sentiment-NLP-for-TradingLinks
Using Reddit market sentiment to predict stock prices.
☆48Updated 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:
- ☆74Updated 5 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Deep learning for forecasting company fundamental data☆141Updated 6 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms☆161Updated 7 years ago
- Machine learning end-to-end research and trade execution☆100Updated 5 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Live and historical scraper for Reuters.☆39Updated 5 years ago
- ☆34Updated 7 years ago
- A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network.☆98Updated 7 years ago
- A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P…☆78Updated 5 years ago
- Links to Algorithms and their Writeups that I've developed at QuantConnect☆33Updated 5 years ago
- Backtesting toolbox for trading strategies☆115Updated last year
- 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
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆75Updated 5 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
- A python backend to predict prices of candlesticks.☆23Updated 6 years ago
- ☆30Updated 4 years ago
- A collection of code snippets that can be constructed into larger trading algorithms.☆109Updated 8 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆37Updated 4 years ago
- Deep Reinforcement Learning For Trading☆107Updated last year
- Machine Learning for Quantitative Finance☆24Updated 7 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆126Updated 6 years ago
- ☆36Updated 8 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 7 years ago
- ☆54Updated 7 years ago
- Machine Learning Hedge Fund☆38Updated 5 years ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆27Updated 8 years ago
- How to detect stock market crashes with topology.☆82Updated 4 years ago