cgarib / ML_Nanodegree_DeepQTraderLinks
Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.
☆16Updated 9 years ago
Alternatives and similar repositories for ML_Nanodegree_DeepQTrader
Users that are interested in ML_Nanodegree_DeepQTrader are comparing it to the libraries listed below
Sorting:
- stock trading by Deep Q-Learning (Deep Q Network)☆13Updated 8 years ago
- A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods☆30Updated 9 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Updated 8 years ago
- Time-Series Momentum Strategies☆12Updated 7 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 8 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- tabular q learning for trading☆12Updated 7 years ago
- Reinforcement Learning in FX Trading☆28Updated 6 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 7 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 8 years ago
- Using Q-learning to better navigate orderbooks.☆23Updated 7 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- A framework for training and evaluating deep learning models in Quantitative trading domain☆56Updated 6 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- ☆19Updated 5 years ago
- Reinforcement learning environment for trading☆15Updated 7 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆40Updated 5 years ago
- trading by Deep Q-Network☆15Updated 9 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Updated 5 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Updated 3 years ago
- A practice project for machine learning and stop price prediction☆20Updated 8 years ago
- ☆17Updated 3 years ago
- ☆18Updated 6 years ago
- Use Neural Network as a trading strategy model☆29Updated 8 years ago
- A deep learning research platform that recognizes stock charts through Convolutional Neural Network (CNN).☆20Updated 9 years ago
- Machine Learning for Trading☆14Updated 7 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- This project is to simulate the effects of high frequency trading on a stock. This is the code for the order book as well as 'traders' wh…☆27Updated 12 years ago