Quantitative Finance & Algorithmic Trading in Python
Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
4.68 (2180 reviews)
20 478
students
15 hours
content
Nov 2023
last update
$109.99
regular price
What you will learn
Understand stock market fundamentals
Understand bonds and bond pricing
Understand the Modern Portfolio Theory and Markowitz model
Understand the Capital Asset Pricing Model (CAPM)
Understand derivatives (futures and options)
Understand credit derivatives (credit default swaps)
Understand stochastic processes and the famous Black-Scholes model
Understand Monte-Carlo simulations
Understand Value-at-Risk (VaR)
Understand CDOs and the financial crisis
Understand interest rate models (Vasicek model)
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Our Verdict
This course serves as an excellent starting point for those interested in quantitative finance, with its clear mathematical explanations and hands-on tutorials. However, be prepared to supplement your learning by updating the provided code, understanding stock analysis basics, and learning about algo trading from other sources. Furthermore, those seeking machine learning and algorithmic trading application might need to look for additional resources that delve more into these topics.
What We Liked
- High-quality course with educational value, providing a balance between mathematical explanations and hands-on tutorials.
- Clear and concise mathematical explanations that break down complex financial concepts for easier understanding.
- Thoughtfully designed hands-on tutorials, enabling students to build financial models using Python.
- Covers various essential topics in quantitative finance such as stock markets, bonds, portfolio theories, derivatives, and stochastic processes.
Potential Drawbacks
- Some users have criticized the misuse of the term 'algorithmic trading' and the lack of depth in certain areas.
- Concerns about excessive use of object-oriented programming (OOP), which may not appeal to all learners.
- Limited focus on machine learning, portfolio creation, and hands-on algorithmic trading experience.
- A few users have reported outdated code related to the Yahoo API and a lack of response from the instructor in the Q&A forum.
1350350
udemy ID
14/09/2017
course created date
07/11/2019
course indexed date
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