City Lit Pro: Machine learning for Financial Trading

What is the course about?

This course offers an in-depth introduction to applying machine learning in financial trading. You'll learn to develop and implement machine learning models to analyze financial data, predict market trends, and automate trading strategies. The course emphasizes practical experience, allowing you to apply what you learn through hands-on projects and real-world simulations.

You can choose to attend this course either live online or in person.
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

What will we cover?

• Introduction to Machine Learning in Finance: Overview of machine learning concepts and their relevance in trading.
• Financial Data Analysis: Techniques for analyzing and preparing financial data for machine learning.
• Supervised Learning Models: Applying regression and classification models to predict market trends.
• Algorithmic Trading Strategies: Designing and testing automated trading strategies using machine learning.
• Backtesting and Evaluation: How to evaluate the performance of trading models through backtesting.
• Risk Management: Understanding and incorporating risk management techniques in trading models.
• Advanced Topics: Introduction to deep learning, reinforcement learning, and their applications in trading.
• Hands-on Projects: Real-world projects to apply what you've learned in simulated trading environments.

What will I achieve?
By the end of this course you should be able to...

• Understand the fundamental concepts of machine learning as applied to financial trading.
• Analyze and prepare financial data for use in machine learning models.
• Develop and implement basic supervised learning models for predicting market movements.
• Design and evaluate algorithmic trading strategies using machine learning.
• Apply risk management techniques to your trading models.
• Execute and backtest trading strategies in a simulated environment.

What level is the course and do I need any particular skills?

This is an intermediate-level course designed for learners who have basic programming skills in Python and a foundational understanding of mathematics and statistics. While prior experience with machine learning or finance is not required, the course will start with an introductory session to ensure everyone is adequately familiarized with the necessary Python skills.

How will I be taught, and will there be any work outside the class?

You will be taught through a mix of interactive lectures, practical coding sessions, and hands-on projects. All learning activities, including project work, will take place during class time, with no mandatory outside work.

Are there any other costs? Is there anything I need to bring?

There are no additional costs for this course. All necessary materials, including access to software and data sets, will be provided.

When I've finished, what course can I do next?

Please click here to view our Programming and Maths courses.

Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work.