joseph1388 / stock-prediction-using-DRL-with-LSTM
This project is focus on stock prediction,our goal is implementing one trading framework using DRL with LSTM.
☆11Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for stock-prediction-using-DRL-with-LSTM
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Updated last year
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated last year
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆28Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆18Updated 4 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆34Updated 5 years ago
- Build DDPG models and test on stock market☆22Updated 6 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆13Updated 5 years ago
- ☆20Updated 4 years ago
- Implementation of the DDPG algorithm for Optimal Finance Trading☆41Updated 5 years ago
- The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal …☆49Updated 5 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- Trading Robot based on LSTM-PPO☆24Updated 4 years ago
- Deep RL for portfolio management☆12Updated 6 years ago
- An implementation of a stock market trading bot, which uses Deep Q Learning☆20Updated 2 years ago
- Deep Q-Learning Auto Market Maker☆12Updated 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…☆53Updated 5 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Updated 5 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 4 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Updated 5 years ago
- ☆13Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- ☆25Updated 6 years ago
- Deep Reinforcement Learning for Stock trading task☆18Updated 3 years ago
- Recurrent Reinforcement Learning (RRL)This is a repository for the implementations of RRL, mainly following Moody's work, other authors w…☆9Updated 6 years ago
- Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis☆53Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆15Updated last year
- An implementation of the paper "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"☆22Updated 6 years ago
- Reinforcement Learning in FX Trading☆28Updated 5 years ago