Reinforcement Learning for Algorithmic Trading with Python

Train and test RL Agents for Trading. For RL Beginners with simple Gamification examples and ChatGPT assistance.

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

What Will I Learn?

• Train and test a Reinforcement Learning (RL) Agent for (Algorithmic) Trading
• Learn and understand the Basics of RL with gamified Fun Projects
• Utilize ChatGPT for Reinforcement Learning Projects
• Installation and Set-Up for RL with Python and OpenAI´s Gymnasium Library
• Strengths and Weaknesses of RL (compared to ML and DL)
• RL Use Cases and Algorithms
• Understand and master Q-Learning and Q-Tables for complex RL projects
• Identify and manage RL Pitfalls such as Overfitting and Performance Plateaus

Requirements

• An internet connection capable of streaming HD videos.
• Solid Python Coding Skills (incl. Pandas, Numpy, Matplotlib)
• Some Data Science or Machine Learning related background (not required but it helps)

Target audience

• (Algorithmic) Traders and Investors seeking to boost their strategies with RL
• Beginners seeking to master real-life RL Projects in no time.
• Data Scientists interested in boosting their work with Artificial Intelligence and Reinforcement Learning