Python Algo Trading Course

Categories: Algo Trading
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About Course

Master the foundations of algorithmic trading and learn how to build your own Python-powered trading bot with this structured, hands-on course developed by Macro Global Markets.

Designed for aspiring traders, analysts, and developers, this course delivers the essential skills and practical knowledge required to plan, code, and test automated trading strategies in real market conditions. Whether you’re looking to understand how algo trading works or want to implement your own programmatic strategy, this course offers a step-by-step pathway.

Over four weeks, students will explore key components of algorithmic trading, including strategy development, Python programming, market data integration, and stock research techniques. Participants will complete multiple-choice assessments and apply their knowledge by building a fully functioning trading algorithm using Python.

What You’ll Learn:

  • The role of algorithmic trading in modern markets

  • How to design and test algorithmic strategies

  • Python coding techniques for trading systems

  • Data sourcing, risk logic, and market filtering

  • Portfolio construction and research-based stock selection

Course Format:

  • 4 self-paced weekly modules

  • Video lectures, practice exercises, and downloadable materials

  • 4 quizzes and 1 final applied project

  • Access to all learning resources online

Who This Course Is For:

  • Beginner to intermediate users with basic computer literacy

  • Traders seeking to automate stock strategies

  • Developers or data analysts entering the finance sector

  • SMSF investors and long-term thinkers looking to systemise research

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What Will You Learn?

  • How to get stock market data using Python and scan for stocks.
  • Trade Entry Conditions (Target, Indicators)
  • Trade Exit Conditions (Stoploss, Indicators)
  • Managing Account Funds and Risk (Balance, Target, Drawdown)
  • Stock Market Specific Requirements (Time, units, orders)

Course Content

Module 1 – What is Algorithmic Trading?
In this practical course you will build a stock market trading algorithm using python to trade US and Australian equities. This module covers the basics of what we will cover and a brief history of algorithmic trading and stock markets. This module gives you the building blocks to connect the programs you need to be able to code and implement an algorithmic strategy.

  • History of Algorithmic Trading
  • Why Macro Global Markets are Providing This Course
  • Algo Trading Strategies and Methods
  • Disclaimer
  • Requirements
  • Access Your Trading Account
    10:01
  • Access to Python
  • Access the Trading Platform
  • Piecing It All Together

Module 2: Algorithmic Strategy Development
Learn how to design an effective trading algorithm from the ground up. This module introduces key trading concepts, risk management principles, and strategy structure. You'll also explore how to use AI prompt engineering to accelerate Python strategy development. Module 2 covers the key elements around planning and design of an algorithmic trading strategy. • Introduction to stock market trading • Risk management and algorithmic trading entry and exit conditions • Elements of a strategy and algorithmic planning • AI prompt engineering for python algorithms

Module 3: Coding and Testing Python Algorithms
Module 3 focuses on creating, implementing and testing the code. • Python algo prompt engineering guidance for AI development • Python basics for trading algorithms • Implementing and testing python algorithms on the trading platform • Error handling and refining a strategy

Module 4: Research Techniques and Portfolio Development
In module 4 we define stock selection processes to allow the trader to define stocks to use within an algorithm. • Stock research methods • Macroeconomic and Sector Analysis • List building for selected stocks • Understanding market conditions and applying programmatic filters

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