DQN
Portfolio Optimizer
Reinforcement learning-based algorithm for optimizing stock trading and portfolio management
Reinforcement Learning for finance
181 stars
14 watching
61 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list
grananqvist/awesome-quant-machine-learning-tradingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 deependersingla/deep_portfolio | An algorithm that optimizes portfolio allocation using Reinforcement Learning and Supervised learning. | 168 |
 jankrepl/deepdow | A framework that enables portfolio optimization using deep learning. | 920 |
 zhengyaojiang/pgportfolio | A software toolkit implementing a novel reinforcement learning framework for portfolio management with policy optimization and financial-model-based algorithms. | 1,751 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
 albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 596 |
 yannickkae/statistical-learning-based-portfolio-optimization | An R Shiny application implementing a portfolio optimization method | 13 |
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
 deltaray-io/kelly-criterion | Calculates optimal capital allocation for a portfolio based on historical stock prices and a risk management strategy. | 92 |
 jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 413 |
 cbfinn/gps | An implementation of guided policy search and LQG-based trajectory optimization for reinforcement learning | 598 |
 dppalomar/sparseindextracking | A package for computing sparse portfolios of assets to track an index. | 50 |
 lequant40/portfolio_allocation_js | A JavaScript library used to optimize financial portfolios through mathematical optimization algorithms | 176 |
 shenyichen105/deep-reinforcement-learning-in-stock-trading | An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data. | 309 |
 fortitudo-tech/fortitudo.tech | An open-source Python package implementing advanced portfolio optimization techniques | 216 |
 hubfire/muti-branch-ddpg-carla | An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. | 79 |