matlab-deep-learning / reinforcement_learning_financial_tradingLinks
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
☆169Updated last year
Alternatives and similar repositories for reinforcement_learning_financial_trading
Users that are interested in reinforcement_learning_financial_trading are comparing it to the libraries listed below
Sorting:
- Approximate Dynamic Programming for Portfolio Selection Problem☆56Updated 2 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 …☆54Updated 5 years ago
- Matlab Module for Stock Market Prediction using Simple NN☆79Updated 6 years ago
- Numerical solution of Hamilton Jacobi Bellman equations☆27Updated 10 years ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆91Updated last year
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Updated 6 years ago
- A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum …☆147Updated this week
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆75Updated 3 years ago
- Implementation of the DDPG algorithm for Optimal Finance Trading☆44Updated 5 years ago
- ☆200Updated 3 weeks ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆82Updated 2 years ago
- Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis☆57Updated 6 years ago
- Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementa…☆244Updated 2 years ago
- Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow☆31Updated 5 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆104Updated 2 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆105Updated 3 years ago
- A collection of tutorials for the MOSEK package☆115Updated last month
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆42Updated 3 years ago
- WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application☆17Updated 2 years ago
- Matlab functions for market data downloading☆51Updated 4 years ago
- This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limi…☆63Updated 2 years ago
- Train a reinforcement learning agent to play a variation of Pong®☆45Updated 2 months ago
- Deep Reinforcement Learning methods for facilitating Automated Stock Trading☆19Updated 4 years ago
- Markov Decision Processes, Dynamic Programming and Reinforcement Learning☆287Updated 4 years ago
- A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.☆139Updated 4 years ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆143Updated last year
- 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