Algorithmic Stock Trading and Equity Investing with Python (Udemy.com)
Interactive Brokers (IBKR) for Algorithmic Trading & Portfolio Investing | Stock Market Analysis, ETF Trading & Theory
Created by: Alexander Hagmann
Last updated December 2025
What you will learn
- Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API
- Automated ETF & Equity Portfolio Investing
- Passive (ETF), Semi-Active and Active Investing
- Stock Trading Strategies with multiple Tickers
- Equity Portfolio Optimization, Management & Rebalancing
- Backtesting and Implementation of Trading & Investment Strategies
- Technical Analysis and Indicators
- Equity Valuation Methods (DDM and Multiples)
- Fundamental Analysis
- Stock Indices and Index Tracking/Replication
- How to measure, benchmark & improve the Performance of your Equity Portfolio
- Loading and analysing Stock Data from (free) Web Sources
- API Trading with Interactive Brokers
- Python Basics & Numpy, Pandas, Matplotlib
- Truly Data-driven Trading and Investing
- Asset-Pricing Models (CAPM)
- Black-Litterman Model
How it compares
Against the other 278 rated Udemy courses in Trading & Investing on CourseDuck:
- Rating4.3 out of 5higher than 16% of them
- Reviews464#141 of 279 by number of reviews
- Length38.1 hourslonger than 99% of them
- Last updatedDecember 2025more recently than 52% of them
Course Description
Welcome to the most comprehensive and complete course on (automated) Stock Trading and Equity Investing!
This course covers
Automated Stock Trading for Income Generation (Algo Trading, Day Trading & more)
Automated ETF & Equity Portfolio Investing for long-term Wealth Accumulation (passive, semi-active, and active Investing)
with Python and Interactive Brokers (IBKR).
At the end of the course, you´ll have mastered all four aspects required for long-term success:
Theory (Finance & Investing 101): What you really need to know before you trade/invest in stocks.
Data: Successful Investment and Trading Strategies are data-driven.
API Trading with Interactive Brokers: Automated Paper Trading and Live Trading with low Spreads and Commissions (no inactivity fees)
Python: The right tool that integrates Theory, Data, and API Trading. This course explains the code and covers everything you need to know in a Python Crash Course (for beginners).
Some Highlights:
Load and analyze Stock Market Data (historical prices, financial statements, ratios, valuation multiples) for thousands of stocks
Trade stocks on various exchanges and from various world regions (North America, Europe, India, Australia, etc.)
Fundamental Analysis, Equity Valuation Methods, Technical Indicators, and Optimization Techniques explained.
Trading Strategies with multiple Tickers/Instruments at once
Test and improve your skills in various Keystone Projects (new concept)
What else should you know about me and the course?
The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in Trading & Investing. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution!
This course is "not only" a Stock trading and Equity investing course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create hands-on Applications with Python and use it for your Trading & Investing Business!
What are you waiting for? Join now!
Thanks and looking forward to seeing you in the Course!
Instructor Details
- 4.3 Rating
464 Reviews
Alexander Hagmann
Alexander is a Data Scientist and Finance Professional with more than 10 years of experience in the Finance and Investment Industry.
He is a Bestselling Udemy Instructor for
- Algorithmic Trading
- Data Analysis/Manipulation with Pandas
- (Financial) Data Science
- Python for Business and Finance
- ChatGPT and other AI tools
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
Alexander´s courses have one thing in common: Content and concepts are practical and real-world proven. The clear focus is on acquiring skills and understanding concepts rather than memorizing things.
Alexander holds a Master´s degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).
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Reviews
By Udemy User on 9/14/2026
It would be great if you could update the historical charts of stocks, bonds, etc. up to date and be specific regarding the correlation analysis i.e. it is for the past 10 years, 20 years?
By Rafael Ángel Campos Vargas on 3/17/2026
Excelente curso para el interesando en el Trading Algorítmico. Se encuentra orientado a evitar que el estudiante no cometa toda clase de falacias y errores a los que se expone si no analiza los problemas adecuadamente. No es apropiado para principiantes y deberá complementarse con otros cursos. Sin embargo, es importante que el estudiante no pierda dinero con métodos que no sirven y que podrían funcionar en un análisis superficial. Además, debe tener la capacidad de adaptarse al mercado cambiante. Por eso, si te interesa el Trading Algorítmico deberías llevar este curso o alguno equivalente.
By Dhruv Kikan on 5/27/2025
The perfect course for beginners covering all the aspects of trading from the definitions to some of the maths behind.
By Harry Jennings on 4/6/2025
I am currently on the Dividends and Adjusted stock price portion - I am getting errors on Juptyer Notebooks for: df.loc[df.Dividends !=0], and its plot as well = ValueError: Cannot index with multidimensional key df2 = df[["Close, Adj Close", "Dividends"]].copy() = KeyError: "['Adj Close'] not in index" my df doesn't not seem to pull Adj close value? Please could you advise, I have not made any changes to the code
By Kamysh Mykola on 12/29/2024
This course offers a comprehensive introduction to market analysis and trading, enriched with numerous practical examples. It covers a wide array of topics, providing a solid foundation for traders. However, I found that while Alexander demonstrates a strong grasp of the subject matter, he often focuses on describing on-screen content without delving into the underlying concepts. This approach necessitated frequent pauses to independently research the tools and strategies being presented. I recommend this course as a valuable guide for those interested in market analysis and trading. Prospective learners should be prepared to supplement the material with additional theoretical study to fully grasp the methodologies discussed.
By Marcelo Bammer on 11/2/2023
Great course so far. I'm enjoying every minute of it. Alex explains all concepts in detail and is straight to the point. The course is very well structured. In general, videos are relatively short and concise which keeps me laser-focused. Alex, keep up the good work!! Many thanks!!
By Tiziano Sartini on 9/16/2023
Corso che tratta in modo scientifico ed approfondito l'argomento. Avrei voluto fossero trattate strategie che usano dati fondamentali delle azioni, con questi creare delle metriche con cui scegliere le azioni su cui investire ed in base al prezzo quando investire.
By Carles H. M. on 9/1/2023
Very good and powerful material, with a lot of tips and knowledge about trading and stocks investing. A python master. A must!
By Robert Kovalauskis on 1/28/2023
This is an extremely useful course! Thank you Alexander for the look into the world of Algorithmic trading. You're doing a great and valuable job! I recommend this course for both beginners and advanced traders. This course is truly universal.
By Leon Melas on 1/3/2023
Course is good for someone with a Finance background however I expected a bit more engaging content and cleared explanations. Course is rather strenuous and not as practical as it should be. Requires good Python knowledge to comprehend.
Quality Score
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Overall Score : 86 / 100












