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Quantitative Finance & Algorithmic Trading in Python

Python,Tech and Progrmming

Quantitative Finance & Algorithmic Trading in Python

 

 

What Will I Learn?
  • Understand stock market fundamentals
  • Understand the Modern Portfolio Theory
  • Understand the CAPM
  • Understand stochastic processes and the famous Black-Scholes mode
  • Understand Monte-Carlo simulations
  • Understand Value-at-Risk (VaR)

 

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Requirements
  • You should have an interest in quantitative finance as well as in mathematics and programming!
 
Description

This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main.

 

Markowitz-model is the first step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model: how to eliminate risk with hedging. Nowadays machine learning techniques are becoming more and more popular. So you will learn about regression, SVM and tree based approaches. 

IMPORTANT: only take this course, if you are interested in statistics and mathematics !!!

Hope you will like it!

Who is the target audience?
  • Anyone who wants to learn the basics of financial engineering!

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Quantitative Finance & Algorithmic Trading in Python

 

 

 


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