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 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…
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