This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent learn to make decision between selling, holding and buying stock with fixed amount based on the reward returned from the environment.
☆72Jul 9, 2019Updated 7 years ago
Alternatives and similar repositories for value-based-deep-reinforcement-learning-trading-model-in-pytorch
Users that are interested in value-based-deep-reinforcement-learning-trading-model-in-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆12Dec 12, 2021Updated 4 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Apr 27, 2017Updated 9 years ago
- Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Apr 8, 2019Updated 7 years ago
- Deep Reinforcement Learning For Trading☆109Aug 19, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆27Nov 5, 2018Updated 7 years ago
- Deep Reinforcement Learning for Stock trading task☆21Feb 9, 2021Updated 5 years ago
- DQN stock trading pytorch implementation☆17May 11, 2019Updated 7 years ago
- Deep direct reinforcement learning for financial signal representation and trading☆31Oct 7, 2020Updated 5 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆11Mar 24, 2023Updated 3 years ago
- Predicting stock value☆22Sep 9, 2018Updated 8 years ago
- Trading Strategies based on the gap between Implied and Realized Volatility: A machine learning approach☆15Nov 10, 2019Updated 6 years ago
- playing idealized trading games with deep reinforcement learning☆360Jun 15, 2021Updated 5 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆41Feb 24, 2018Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A complete all-in-one stock bot to fetch and store incremental day on day BSE data, build models and predict future prices and assess fin…☆14Jun 22, 2022Updated 4 years ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆190Oct 9, 2021Updated 4 years ago
- Trading Stock with Deep Reinforcement Learning☆24Aug 20, 2018Updated 8 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆102Sep 4, 2019Updated 7 years ago
- stock trading by Deep Q-Learning (Deep Q Network)☆13Feb 6, 2017Updated 9 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆33Jun 8, 2020Updated 6 years ago
- Monlan is a collection of my Data Science experiments (DRL and other approaches) into FOREX algotrading field. Warning! It's my research …☆12Aug 1, 2022Updated 4 years ago
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 6 years ago
- A deep learning model for Financial Signal Representation and Trading☆77Nov 4, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆223Mar 24, 2023Updated 3 years ago
- ☆26Jan 18, 2018Updated 8 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆323May 18, 2017Updated 9 years ago
- Training and evaluation of Deep Reinforcement Learning cruptocurrency trading agent.☆21Jun 6, 2022Updated 4 years ago
- A trading bitcoin agent was created with deep reinforcement learning implementations.☆35Mar 28, 2022Updated 4 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆219Nov 18, 2023Updated 2 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Dec 20, 2017Updated 8 years ago
- An example and description to Reinforcement Learning DQN model and dataformats for trading☆16Mar 30, 2019Updated 7 years ago
- Automated FOREX trading using recurrent reinforcement learning☆35Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for thesis project on applying reinforcement learning to algorithmic trading☆34Dec 8, 2022Updated 3 years ago
- Trading Environment(OpenAI Gym) + PPO(TensorForce)☆252Dec 8, 2022Updated 3 years ago
- A deep reinforcement learning model for portfolio management. For more info, check☆14Jun 2, 2020Updated 6 years ago
- 利用强化学习预测股价变化☆23May 25, 2017Updated 9 years ago
- Deep Reinforcement Learning for Dynamic Multicahnnel Access in Wireless Networks☆14Oct 1, 2017Updated 8 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆692Nov 6, 2024Updated last year
- trade ES Futures Options☆35Nov 22, 2020Updated 5 years ago