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.
☆71Jul 9, 2019Updated 6 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:
- A Deep Reinforcement Learning Trading Bot with PyTorch☆57Nov 9, 2023Updated 2 years ago
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆13Dec 12, 2021Updated 4 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆71Apr 27, 2017Updated 8 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Deep Reinforcement Learning For Trading☆108Feb 1, 2024Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆59Apr 8, 2019Updated 6 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆27Nov 5, 2018Updated 7 years ago
- DQN stock trading pytorch implementation☆17May 11, 2019Updated 6 years ago
- Deep Reinforcement Learning for Stock trading task☆21Feb 9, 2021Updated 5 years ago
- Deep direct reinforcement learning for financial signal representation and trading☆32Oct 7, 2020Updated 5 years ago
- Trading Strategies based on the gap between Implied and Realized Volatility: A machine learning approach☆15Nov 10, 2019Updated 6 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 7 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Feb 24, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- playing idealized trading games with deep reinforcement learning☆360Jun 15, 2021Updated 4 years ago
- Order execution in the financial markets using Deep Reinforcement Learning.☆16Dec 10, 2022Updated 3 years ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆188Oct 9, 2021Updated 4 years ago
- An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".☆102Sep 4, 2019Updated 6 years ago
- Trading Stock with Deep Reinforcement Learning☆24Aug 20, 2018Updated 7 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆33Jun 8, 2020Updated 5 years ago
- 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…☆13Jun 22, 2022Updated 3 years ago
- Monlan is a collection of Data Science experiments (DRL and other approaches) into FOREX algotrading field. Warning! It's my research pro…☆12Aug 1, 2022Updated 3 years ago
- A deep learning model for Financial Signal Representation and Trading☆77Nov 4, 2018Updated 7 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- A deep reinforcement learning model for portfolio management. For more info, check☆14Jun 2, 2020Updated 5 years ago
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆223Mar 24, 2023Updated 3 years ago
- ☆26Jan 18, 2018Updated 8 years ago
- A portfolio optimization framework leveraging Deep Reinforcement Learning (DRL) and a custom trading environment☆13Aug 12, 2020Updated 5 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆322May 18, 2017Updated 8 years ago
- This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log☆31Sep 12, 2021Updated 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
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- quantitative trading system based on deep learning and reinforcement learning☆53Jun 6, 2018Updated 7 years ago
- An example and description to Reinforcement Learning DQN model and dataformats for trading☆16Mar 30, 2019Updated 7 years ago
- Code for thesis project on applying reinforcement learning to algorithmic trading☆34Dec 8, 2022Updated 3 years ago
- Automated FOREX trading using recurrent reinforcement learning☆35Dec 8, 2022Updated 3 years ago
- Trading Environment(OpenAI Gym) + PPO(TensorForce)☆255Dec 8, 2022Updated 3 years ago
- A trading bitcoin agent was created with deep reinforcement learning implementations.☆34Mar 28, 2022Updated 4 years ago
- 利用强化学习预测股价变化☆22May 25, 2017Updated 8 years ago