reinforcement_learning_financial_trading
Unverified ML strategy on Multi by matlab-deep-learning. BotFinder score 18 out of 100.
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
Source: github
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reinforcement_learning_financial_trading
Reinforcement Learning For Financial Trading :chartwithupwardstrend: How to use Reinforcement learning for financial trading using Simulated Stock Data using MATLAB. This project is split into two sections: 1. Single Agent Learning 2. Multiagent Learning Single Agent Learning Setup To run: 1. Open RLtradingdemo.prj 2. Open workflow.mlx (MATLAB Live Script preferred) or workflow.m (MATLAB script viewable in GitHub) 3. Run workflow.mlx Environment and Reward can be found in: myStepFunction.m Requires - MATLAB version >= R2019b - Deep Learning Toolbox - Reinforcement Learning Toolbox - Financial Toolbox Overview The goal of the Reinforcement Learning agent is simple. Learn how to trade the financial markets without ever losing money. Note, this is different from learn how to trade the market and make the most money possible. Reinforcement Learning for Financial Trading Lets apply some of the terminology and concepts of teaching a reinforcement learning agent to trade. - The agent in this case study is the computer. - It will observe financial market indicators (states). - The financial
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