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Performance Optimization and Risk Management for Trading

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Last updated on October 31, 2026 7:03 am

Performance Optimization and Risk Management for Trading

★★★★★
$4,319.00
$619.00
 in stock
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
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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