Performance Optimization and Risk Management for Trading
Generate Income and make a living with Day Trading / Algorithmic Trading. A quantitative & data-driven Python course.
Created by Alexander Hagmann | 19 hours on-demand video course
This Performance Optimization and Risk Management for Trading 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!). 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.
What you’ll 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
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Who this course is for:
- 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