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
Alternatives and similar repositories for stock-prediction-using-DRL-with-LSTM
Users that are interested in stock-prediction-using-DRL-with-LSTM are comparing it to the libraries listed below
Sorting:
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆17Updated last year
- Stock Trading with Reinforcement Learning (DQN & DDPG)☆9Updated 4 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated 2 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆37Updated 5 years ago
- Deep Q-Learning Auto Market Maker☆12Updated 3 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆15Updated 2 years ago
- Recurrent Reinforcement Learning (RRL)This is a repository for the implementations of RRL, mainly following Moody's work, other authors w…☆9Updated 7 years ago
- Implementation of the DDPG algorithm for Optimal Finance Trading☆44Updated 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 …☆15Updated 5 years ago
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆10Updated 4 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Updated 6 years ago
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆29Updated 5 years ago
- Trading Robot based on LSTM-PPO☆26Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 years ago
- An implementation of a stock market trading bot, which uses Deep Q Learning☆23Updated 2 years ago
- A Reinforcement learning model which applies deterministic policy gradient algorithms to maximize return on portfolio management task☆14Updated 6 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- ☆19Updated 4 years ago
- ☆40Updated 2 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 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
- Stock Trading using Reinforcement Learning☆9Updated 4 years ago
- A deep learning model for Financial Signal Representation and Trading☆73Updated 6 years ago
- Monlan is a collection of Data Science experiments (DRL and other approaches) into FOREX algotrading field. Warning! It's my research pro…☆12Updated 2 years ago
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- A DQN agent that optimally hedges an options portfolio.☆24Updated 5 years ago