Udemy – Reinforcement Learning for Algorithmic Trading with Python 2024-8

Published on: 2024-09-24 15:24:09

Categories: 28

Description

Reinforcement Learning for Algorithmic Trading with Python is a training course on the use of reinforcement learning techniques to build algorithmic trading models, which was published by Udemy Online Academy. This is an advanced course that teaches you how to use reinforcement learning techniques to build algorithmic trading models. This course delves deeply into the intersection of finance and machine learning, guiding you through the fundamentals of reinforcement learning, including key algorithms such as Q-learning, deep Q-nets, and policy gradients. You will learn to develop, train, and optimize business agents that can make data-driven decisions in real-time market environments.

This course includes hands-on coding exercises in Python, real-world trading simulations, and practical strategies for deploying your models in live trading scenarios. This course focuses on the use of reinforcement learning for algorithmic trading, covering core algorithms such as Q-learning and policy gradients. The program emphasizes practical applications by teaching how to develop and train trading agents who can adapt and optimize trading strategies in real time. You will gain a thorough understanding of the theoretical and practical aspects of implementing reinforcement learning in financial markets and prepare for the challenges of real-world algorithmic trading.

What you will learn in Reinforcement Learning for Algorithmic Trading with Python:

Setup for RL with Python and OpenAI’s Gymnasium Library
Strengths and weaknesses of RL (compared to ML and DL)
RL uses and algorithms
Understanding and mastery of Q-Learning and Q-Tables for complex RL projects
Identifying RL problems such as Overfitting and Performance Plateaus
and…

Course specifications

Publisher: Udemy
Instructors: Alexander Hagmann
Language: English
Level: Introductory
Number of Lessons: 103
Duration: 8 hours and 13 minutes

Course topics

Reinforcement Learning for Algorithmic Trading with Python Content

Reinforcement Learning for Algorithmic Trading with Python Prerequisites

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)