Data-driven stock quant investment with Python Part 2
This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.
1,107 learners
Level Intermediate
Course period Unlimited
[New lecture open] The last lecture of the ‘Python + Stock Quant Investment’ curriculum has opened.
Hello. This is Deepingsauce, Infraon knowledge sharer.
Finally, we have opened the 'Data-based Stock Quant Investment with Python Part 2' course that many of you have been eagerly waiting for.
- Link: Data-based stock quant investment with Python part 2 (click to go)
In this class, I have included the content that I ultimately wanted to convey to students when I decided to createa Python + stock quant investment curriculum about a year ago, and this content marks the end of the curriculum.
Even though it has not even been a year since the first lecture was opened, 4,200 people have shown interest in the lecture. In order to repay that favor, we have organized the lecture with even more substantial content.
I hope that this lecture, as well as the lectures in this curriculum, will provide you with an opportunity to further improve the quality of your life.
Have a happy Chuseok holiday, and we will work hard to come back with better content in the future.
thank you