sachink2010 / AutomatedStockTrading-DeepQ-LearningLinks
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 …
☆280Updated 3 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
Sorting:
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆215Updated last year
- Implementation of Reinforcement Learning in Pair Trading☆9Updated last week
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆222Updated 2 years ago
- Trading Environment(OpenAI Gym) + DDQN (Keras-RL)☆419Updated 2 years ago
- Trading Environment(OpenAI Gym) + PPO(TensorForce)☆253Updated 2 years ago
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆202Updated 3 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆187Updated 2 years ago
- This trading-gym is the first trading for agent to train with episode of short term trading itself.☆232Updated 2 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆317Updated 8 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆263Updated 2 years ago
- A simple, yet elegant visualization of our stock trading RL agent environment.☆221Updated 3 years ago
- ☆200Updated 3 weeks ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆220Updated 9 months ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV f…☆208Updated 5 months ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- Trading environnement for RL agents, backtesting and training.☆165Updated 3 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆667Updated 8 months ago
- playing idealized trading games with deep reinforcement learning☆359Updated 4 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆271Updated 2 years ago
- Applying Reinforcement Learning in Quantitative Trading☆349Updated last year
- Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions…☆70Updated 2 years ago
- Programs for stock prediction and evaluation☆362Updated 7 months ago
- ☆183Updated 7 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆104Updated 2 years ago
- This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.☆252Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆357Updated 2 years ago