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Stock Trading Simulation with Gymnasium

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Updated 07/2024
Train a simple reinforcement learning agent in stock trading simulation.
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Project Description

Financial markets are constantly changing and many companies now leverage AI in their attempts to beat the market. Have a try at it yourself as you train a simple reinforcement learning agent in Python using Gymnasium. You will then explore the decisions that the agent made and analyze its performance. Perfect for learners interested in finance and machine learning.

Project Tasks

  1. 1
    Task 1

Technologies

Python Python

Topics

Artificial Intelligence

Prerequisites

Deep Reinforcement Learning in Python
Anthony Markham HeadshotAnthony Markham

Quantitative Developer

Anthony is a Quant Developer in Algorithmic Trading and Risk Management in Sydney, Australia. With a background in Aerospace and Software Engineering, Anthony has experience in Data Science, facial recognition research, tertiary education, and Quantitative Finance, developing mostly in Python, Julia, and C++. When not working, Anthony enjoys working on personal projects, flying aircraft, and playing sport.
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