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Automated Stock Trading Using Approximate Q Learning (Linear Approximation)

This project was done as the final project of RME 3211 (Intelligent Systems and Robotics Lab). Here we used Approximate (Linear Approximation) Q Learning for automatic stock trading of three stocks:

We tested the work both including the COVID 19 timeline and excluding the COVID 19 timeline in Bangladesh. We found an Return on Investment value of 13.29% on including COVID 19 timeline and -37.46% on excluding COVID 19 timeline while testing. Our best result's Price-Buy-Sell graph is shown on the three stocks:

Grameenphone Ltd image Square Pharmaceuticals Ltd image ACI Formulations Ltd
image

Our code is an updated version of this repository: https://github.com/KonstantinosNikolakakis/Stock-Trading-Reinforcement_Learning

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