Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model …
☆295Aug 31, 2021Updated 5 years ago
Alternatives and similar repositories for AutomatedStockTrading-DeepQ-Learning
Users that are interested in AutomatedStockTrading-DeepQ-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆223Mar 24, 2023Updated 3 years ago
- Trading Environment(OpenAI Gym) + PPO(TensorForce)☆252Dec 8, 2022Updated 3 years ago
- playing idealized trading games with deep reinforcement learning☆360Jun 15, 2021Updated 5 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆220Nov 18, 2023Updated 2 years ago
- This trading-gym is the first trading for agent to train with episode of short term trading itself.☆235Dec 8, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆693Nov 6, 2024Updated last year
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆110Sep 12, 2019Updated 6 years ago
- Trading Environment(OpenAI Gym) + DDQN (Keras-RL)☆414Dec 8, 2022Updated 3 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆41Feb 24, 2018Updated 8 years ago
- Deep Reinforcement Learning For Trading☆109Aug 19, 2026Updated last week
- Using deep actor-critic model to learn best strategies in pair trading☆323May 18, 2017Updated 9 years ago
- Trading with recurrent actor-critic reinforcement learning☆437Jan 24, 2023Updated 3 years ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆92Mar 15, 2021Updated 5 years ago
- Implementation of Reinforcement Learning in Pair Trading☆12Jul 4, 2025Updated last year
- 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.
- Environment for reinforcement-learning algorithmic trading models☆709Feb 26, 2018Updated 8 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51May 21, 2019Updated 7 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Dec 8, 2022Updated 3 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆274Dec 8, 2022Updated 3 years ago
- Deep Q-learning driven stock trader bot☆920Nov 26, 2023Updated 2 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 Direct Recurrent Reinforcement Learning to learn trading system☆26Dec 20, 2017Updated 8 years ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,914Feb 11, 2024Updated 2 years ago
- Trading Stock with Deep Reinforcement Learning☆24Aug 20, 2018Updated 8 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.
- Deep RL (PPO) agent that manages a Uniswap V3 concentrated liquidity position, deciding when to hold, collect fees, or rebalance. Trai…☆176Aug 19, 2026Updated last week
- 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
- This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to…☆1,499Jan 22, 2018Updated 8 years ago
- A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆1,867Jan 22, 2022Updated 4 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆27Nov 5, 2018Updated 7 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆193Dec 8, 2022Updated 3 years ago
- Stock Trading Bot using Deep Q-Learning☆1,176Dec 3, 2023Updated 2 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 6 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆247Jun 10, 2024Updated 2 years ago
- A simple, yet elegant visualization of our stock trading RL agent environment.☆225Oct 11, 2021Updated 4 years ago
- Automated FOREX trading using recurrent reinforcement learning☆35Dec 8, 2022Updated 3 years ago
- Reinforcement Learning for Portfolio Management☆480Jun 26, 2018Updated 8 years ago
- Code for thesis project on applying reinforcement learning to algorithmic trading☆34Dec 8, 2022Updated 3 years ago
- Deep Reinforcement Learning based Trading Agent for Bitcoin☆795Jun 7, 2018Updated 8 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆552Jul 12, 2021Updated 5 years ago