Course description

Course Overview

This course provides an in-depth introduction to algorithmic trading using the Python programming language. Participants will learn how to develop, test, and deploy trading strategies, as well as how to use Python libraries for data analysis and machine learning.

Key Learning Objectives

• Understand the basics of algorithmic trading
• Gain proficiency in using Python for trading strategy development
• Learn how to analyze financial data and implement machine learning models
• Develop and test trading strategies using historical data

Requirements

Participants should have a fundamental understanding of Python programming and familiarity with financial markets and trading concepts. Prior experience with data analysis and machine learning is beneficial but not required.

Outcomes

Upon completion of the course, participants will be able to:

• Design and implement algorithmic trading strategies using Python
• Utilize Python libraries for data analysis and machine learning in the context of trading
• Backtest and optimize trading strategies using historical market data
• Understand the key considerations and best practices for deploying algorithmic trading systems

Certification

Participants who successfully complete the course will receive a certificate of completion, demonstrating their proficiency in algorithmic trading with Python.

What will i learn?

• Design and implement algorithmic trading strategies using Python
• Utilize Python libraries for data analysis and machine learning in the context of trading
• Backtest and optimize trading strategies using historical market data
• Understand the key considerations and best practices for deploying algorithmic trading systems