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
- This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent lear…☆69Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 3 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆32Updated 5 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆28Updated 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…☆53Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated 2 years ago
- Build DDPG models and test on stock market☆22Updated 6 years ago
- Reinforcement Learning in FX Trading☆28Updated 5 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆14Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- Relation-Aware Transformer for Portfolio Policy Learning using Binance provider☆23Updated 3 years ago
- A deep learning model for Financial Signal Representation and Trading☆72Updated 6 years ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆80Updated 3 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 3 years ago
- ☆24Updated last year
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 5 years ago
- A Deep Reinforcement Learning Trading Bot with PyTorch☆55Updated last year
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆93Updated 2 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
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- DQN stock trading pytorch implementation☆39Updated 5 years ago
- This project implements the two deep reinforcement learning algorithms on portfolio management☆50Updated 6 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 4 months ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Updated 6 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆115Updated 3 years ago
- An implementation of a stock market trading bot, which uses Deep Q Learning☆22Updated 2 years ago
- ☆64Updated 4 years ago