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.
1,125 learners
Level Intermediate
Course period Unlimited
[20% off all lectures] Invest smartly with Python in the new year!
Hello. This is Deepingsauce, Infraon knowledge sharer.
As 2021 has been a year and the new year has seen more and more people show interest in our classes, we have surpassed 6,500 cumulative students.
To thank you for your warm support and to help you achieve your goals with Python in the new year, we have prepared a 20% discount event for all lectures : From Monday, January 10, 2022 to Sunday, January 16, 2022 (for one week )
Go to course
1. Python that anyone can learn, whether they are a liberal arts student or a non-major!
2. Python Web Crawling & Automation to Replace My Work (feat. Stock, Real Estate Data / Instagram)
3. Data-based stock quant investment with Python Part 1
4. Data-based stock quant investment with Python Part 2
I hope that through this opportunity, we can further improve the quality of life of our students at a slightly lower price.
* Additionally, the following event has been prepared, so for those who have been interested in my classes, this will be a great opportunity to take them at a low price.
1. Class SNS sharing event (up to 30%)
2. Bundle Course Discount: 30% discount on all courses when purchasing the entire curriculum on the Roadmap page
Happy New Year. Thank you.