nandahkrishna / StockTrading
Stock Trading using Reinforcement Learning
☆9Updated 4 years ago
Alternatives and similar repositories for StockTrading:
Users that are interested in StockTrading are comparing it to the libraries listed below
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆10Updated 2 years ago
- This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent lear…☆70Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 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…☆57Updated 5 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆18Updated last year
- Reinforcement Learning in FX Trading☆28Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Updated 5 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 6 months ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 5 years ago
- Build DDPG models and test on stock market☆22Updated 6 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆20Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆29Updated 6 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆37Updated 5 years ago
- stock trading strategy automatic generated from historical price and volume, using DQN☆25Updated 7 years ago
- A deep learning model for Financial Signal Representation and Trading☆73Updated 6 years ago
- DQN stock trading pytorch implementation☆41Updated 5 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- Implementation of the DDPG algorithm for Optimal Finance Trading☆41Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆36Updated 5 years ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆84Updated 4 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- An implementation of a stock market trading bot, which uses Deep Q Learning☆23Updated 2 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆33Updated 5 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆28Updated 4 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Updated 7 years ago
- Relation-Aware Transformer for Portfolio Policy Learning using Binance provider☆22Updated 3 years ago