negarhonarvar / StockTrading_DRLLinks
Automated stock trading strategy using deep reinforcement learning and recurrent neural networks
☆13Updated last year
Alternatives and similar repositories for StockTrading_DRL
Users that are interested in StockTrading_DRL are comparing it to the libraries listed below
Sorting:
- Code for paper Stock trading rule discovery with double deep Q-network☆14Updated 2 years ago
- This repository provides codes for implementing DQN model in algorithmic trading☆14Updated 3 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆57Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 6 years ago
- Sample code for using LSTMs to predict stock price movements☆24Updated 2 years ago
- Predict stock prices using an AI LSTM model☆10Updated 2 years ago
- DQN RL Trading bot for bitcoin☆34Updated 2 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆22Updated 5 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆45Updated 2 years ago
- Analysis and implementation of an LSTM Neural Network to predict foreign exchange of currencies.☆20Updated 6 years ago
- Source Code for 'Reinforcement Learning for Finance' by Samit Ahlawat☆27Updated 2 years ago
- Apply LSTM neural network and reinforcement learning to trading Forex on mt5☆23Updated 3 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆21Updated 6 years ago
- Python DQN for practicable portfolio management☆12Updated 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 …☆55Updated 6 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆36Updated 5 years ago
- ☆61Updated last year
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆13Updated 3 years ago
- A Reinforcement Learning based Stock Trader with multiple backends☆31Updated 5 years ago
- Deep Q-Learning Auto Market Maker☆12Updated 4 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆47Updated 3 years ago
- DQN stock trading pytorch implementation☆42Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆39Updated 4 years ago
- A DQN agent that optimally hedges an options portfolio.☆25Updated 5 years ago
- Created an DQN AI Agent which chooses to sell, buy, or keep stocks from various companies.☆26Updated 5 years ago
- Forex price movement forecast☆36Updated 4 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 7 years ago
- 复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果☆36Updated 3 years ago