adamd1985 / Deep-Q-Learning-Applied-to-Algorithmic-Trading
Deep Q-Learning Applied to Algorithmic Trading
☆27Updated 5 months ago
Alternatives and similar repositories for Deep-Q-Learning-Applied-to-Algorithmic-Trading:
Users that are interested in Deep-Q-Learning-Applied-to-Algorithmic-Trading are comparing it to the libraries listed below
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆60Updated 7 months ago
- ☆36Updated 2 years ago
- A financial trading method using machine learning.☆60Updated last year
- Stock Price Prediction☆19Updated 6 months ago
- 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
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆60Updated last year
- stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.☆36Updated last year
- ☆58Updated last year
- Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression☆17Updated last year
- ☆39Updated 3 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆75Updated last year
- ☆74Updated 9 months ago
- Research Repo (Archive)☆72Updated 4 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆38Updated 2 months ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆52Updated last year
- CS7641 Team project☆93Updated 4 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- ☆27Updated 2 years ago
- detecting regime of financial market☆35Updated 2 years ago
- Implements different approaches to tactical and strategic asset allocation☆31Updated 3 months ago
- ☆17Updated 8 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆31Updated 5 years ago
- Automate the detection of chart patterns☆39Updated 8 months ago
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- Time Series Prediction of Volume in LOB☆56Updated 11 months ago
- Official Implementation of SimStock : Representation Model for Stock Similarities☆77Updated 9 months ago
- Financial AI with Python☆68Updated 2 weeks ago