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Performance Optimization and Risk Management for Trading (Udemy.com)

Generate Income and make a living with Day Trading / Algorithmic Trading. A quantitative & data-driven Python course.

Created by: Alexander Hagmann

Last updated December 2025

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What you will learn

  • How to make a living with Trading (and what it requires)
  • How to optimize the Performance of Trading Strategies
  • How to manage & control the Risk of Trading Strategies
  • How to find the optimal degree of Leverage for Margin Trading
  • How to measure the Performance and Risk of Trading Strategies and Financial Instruments
  • How to make proper use of Stop Loss (SL) and Take Profit (TP) Orders
  • Advanced Python Coding (OOP, Pandas, Numpy, Scipy, Matplotlib, Seaborn)
  • How to optimize Trading Performance with single/multiple Parameter Optimization
  • How to optimize Trading Performance with Smoothing
  • How to calculate Risk, Return and the Sharpe Ratio (Mean-Variance Analysis)
  • How to calculate Downside Risk and the Sortino Ratio
  • How to calculate Maximum Drawdown, Maximum Drawdown Duration and the Calmar Ratio
  • How to calculate CAGR, Investment Multiple, compound Returns and more.

How it compares

Against the other 1,210 rated Udemy courses in Business on CourseDuck:

  • Rating4.6 out of 5higher than 74% of them
  • Reviews376#744 of 1,211 by number of reviews
  • Length19.6 hourslonger than 95% of them
  • Last updatedDecember 2025more recently than 57% of them

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Course Description

(How) Can I generate sustainable Income and make a living with Trading? - That is one of the most frequently asked questions in Day Trading / Algorithmic Trading.

This unique course provides the skills, knowledge, and techniques required to (realistically!) answer that question. The course uses rigorous quantitative methods and is 100% data-driven (Python coding required!). 


You will learn how to make use of the most powerful trading features and techniques:

  • Path-dependent Simulation techniques to find a sustainable level of Trading Income

  • Taking into account Taxation, Inflation and Shortfall Risk

  • Strategy Backtesting and Forward Testing

  • Strategy Optimization techniques (One/Many Parameter Optimization, Multi-Period Optimization, Smoothing, and more...)

  • Finding the optimal Degree of Leverage in Margin Trading (Kelly Criterion and more advanced techniques)

  • Improving Trading Performance and mange Risk with Stop Loss and Take Profits Orders

  • and more...


Important: these techniques and skills are highly relevant and must-knows for any Trader and any Trading activity:

  • for Assets like Forex (Currencies), Cryptocurrencies, Stocks, Indexes, Commodities, and more...

  • for Strategies based on Technical/Fundamental Analysis, Artificial Intelligence (Machine Learning & Deep Learning), Statistical Arbitrage, and more...

  • for Trading with Brokers like Interactive Brokers (IBKR), Binance, TD Ameritrade, Oanda, FXCM, and more...


Performance Optimization and Risk Management require... rigorous Performance and Risk Measurement. The course covers the following Metrics and Methods:

  • Mean-Variance Analysis

  • Risk-adjusted Return Metrics (e.g. Sharpe Ratio)

  • Downside Deviation and Sortino Ratio

  • Tail Risk Metrics

  • Maximum Drawdown, Maximum Drawdown Duration, and Calmar Ratio

  • Deep Analysis of Levered Trading and the Kelly Criterion

  • Compound Annual Growth Rate (CAGR)

  • Investment Multiple

  • and many more...


You´ll have the opportunity to practice what you have learned in various Coding Exercises/Challenges (real data and meaningful questions!).


This is not only a course on Performance and Risk Management for Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, Matplotlib. You will learn how to use and master these Libraries for (Financial) Data Analysis, Optimization, and Trading. 

Please note: This is not a course for complete Python Beginners (check out my other courses!)


What are you waiting for? Join now and start improving your Trading Performance!

As always, there is no risk for you as I offer a 30-Days-Money-Back Guarantee!


Thanks and looking forward to seeing you in the Course!

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Instructor Details

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

4.6

376 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Oscar Neira on 8/8/2025

The instructor explains concepts from an experiential point of view. The course defines a full analytical approach to trading, and the instructor advises deeply studying strategies before engaging in trading. This makes the course believable, as it does not portray trading as being easy. Although the strategies used are rather simple, they are effectively employed to illustrate key concepts. The only pitfall I see is that the backtesting is vectorized, which, although fast, can be prone to forward bias when used by students. An event-based approach to backtesting would be more realistic and less error-prone. I recommend this course to anyone looking for a solid foundation in trading with a realistic and thoughtful approach.

By Ali Osat Zoghi on 4/24/2025

Before I start, I should say that I had some knowledge and experience of trading, I was hopping it elevates my skills and I'm also an engineer. This is very basic, you would only benefit if you didn't finish high school and barely know anything about trading.

By Michael Curran on 7/16/2024

I have taken almost half of Alexander's courses and this I think is one of his best ones. It provides a lot of the groundwork but is great as the final level course for trading if you have taken his courses on trading crypto/stocks and technical analysis. It really provides the final touch, perhaps other than his ChatGPT courses, which add the new openAI component.

By Priyadharshini S on 3/21/2024

The course provided comprehensive insights into various trading strategies, risk management techniques, and market analysis tools. Engaging lectures and practical exercises enhanced my understanding, equipping me with valuable skills to navigate the financial markets confidently. Highly recommended for aspiring traders.

By Prashant on 3/9/2024

The course is great. I learnt a lot. I spent hrs to understand OOPS for finance and his explanation of class with real world make the life easy to understand complex issues. The course is very practical with real world examples makes it more interesting.

By Anonymized User on 7/9/2023

I've only gone through about a fifth of the course's content but so far it's provided insane value. I didn't pay for the course because I have Udemy Pro with work, but I would definitely buy the course otherwise (in fact, if I were to lose my subscription I'd buy this immediately). The way he explains the content, how practical everything is and the course materials are really helpful. My only feedback so far would be to provide further resources so we can godeeper with certain topics, things like online courses, books, etc. I'll definitely take further courses with the instructor!

By Diego Diego on 1/2/2023

Performance optimization and risk management are critical aspects of being successful as a trader. In this course Alexander explains many techniques that are very powerful. A great course, as always.

By Giacomo Camba on 11/15/2022

Yes, it's the natural following course of the 'Algorithmic Trading A-Z'. Professor Hagmann is able to explain the topics in a very comprehensive way! I feel to suggest his courses to everyone who has the ambition to work as an Algo trader and not only, as I think they are very informative and precious.

By Ryan Park on 7/2/2022

This course along with Alexander’s entire collection is amazing. If you have a deep interest in python, pandas, trading, finance in addition to an immense amount of other value then DO NOT HESITATE. The instructor is highly knowledgeable and I am appreciative of people like him. Sharing this knowledge base at such a low cost is nothing less than philanthropic.

By Akira Hachiya on 5/5/2022

Great contents with concise explanation as always. Personally, wished that there are more on coding particularly how the oop things work (which was in progress when I did it). Overall, very happy about the course.

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Overall Score : 92 / 100