AI4Finance-Foundation / Deep-Reinforcement-Learning-for-Stock-Trading-DDPG-Algorithm-NIPS-2018Links
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.
☆96Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-for-Stock-Trading-DDPG-Algorithm-NIPS-2018
Users that are interested in Deep-Reinforcement-Learning-for-Stock-Trading-DDPG-Algorithm-NIPS-2018 are comparing it to the libraries listed below
Sorting:
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆207Updated 3 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆105Updated 2 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆191Updated 2 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆154Updated last year
- A Deep Reinforcement Learning Framework for Stock Market Trading☆176Updated 3 years ago
- A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum …☆149Updated last month
- ☆201Updated last week
- Implementation of Reinforcement Learning in Pair Trading☆10Updated 3 months ago
- Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis☆58Updated 6 years ago
- This project implements the two deep reinforcement learning algorithms on portfolio management☆53Updated 7 years ago
- This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.☆256Updated 3 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2…☆85Updated last year
- Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3.☆52Updated 2 years ago
- An open-source framework for reduction of overfitting of DRL agents in Finance☆70Updated 2 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 6 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆104Updated 3 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆280Updated 4 years ago
- Cloud-native Financial Reinforcement Learning☆466Updated last year
- Deep Reinforcement Learning for Portfolio Optimization☆128Updated 5 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆217Updated last year
- Reinforcement Learning package for Finance☆130Updated last year
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆224Updated 2 years ago
- A simple, yet elegant visualization of our stock trading RL agent environment.☆224Updated 3 years ago
- WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application☆17Updated 3 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…