Performance Optimization and Risk Management for Trading
Last updated on October 31, 2026 7:03 amPerformance Optimization and Risk Management for Trading
★★★★★
$619.00 in stock
Udemy.com
as of October 31, 2026 7:03 am
Generate Income and make a living with Day Trading / Algorithmic Trading. A quantitative & data-driven Python course.
Created by:
Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur
Data Scientist | Finance Professional | Entrepreneur
Rating:4.64 (341reviews)
7396students enrolled
What Will I 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 to generate a sustainable income with Trading
Requirements
- A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
- An internet connection capable of streaming HD videos.
- Basic Python Coding Skills (Variables, Data Types, Lists, For Loops, Functions) -> This is not a Course for complete Python Beginners.
- Basic Coding Skills in Pandas, Numpy and Matplotlib
- Basic Knowledge or first practical experiences with Trading/Investing would be great (not mandatory but it helps)
- Some high school level math & statistics skills would be great (not mandatory, but it helps)
Target audience
- Traders who are dissatisfied with their Trading Performance
- Those who want to generate sustainable Income with Trading
- Traders and Investors who want to professionalize their Business.
- Traders who want to improve their work/analysis with powerful Python Coding


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