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
Python lecture that improved the quality of life of about 8,000 people in one year [20% discount on all lectures from 3/18~]
Hello. I am deepingsauce, a knowledge sharer at Inflearn.
It's only been a quarter, but 2022 is already showing its turbulent side. Starting with the Ukraine situation, the stock market is showing great instability due to quantitative austerity, interest rate hikes, and national conflicts, the real estate market is shaking slightly due to the recent presidential election and expectations for various policy changes, and the number of confirmed COVID-19 cases shows no signs of decreasing. If you add to this the issues that each individual faces in their main job or daily life, it seems that it can't help but be turbulent.
How well are you responding in these confusing situations?
I am also the same person, so I am exposed to and face the same situations as above. Especially since the end of last year, there have been many moments in my life where I had to make important decisions, so I think the burden I had to bear on my own was greater. Every time, as usual, I constantly thought about how I could respond to these situations with my programming skills, and believe it or not, this time too, I was able to use the power of programming to approach the current problem from a data perspective, and actively deal with it while avoiding the worst choice, if not the best choice. And that with relatively little effort! (Isn't that the power of Python?!). Below are the problems I have solved & am solving with programming and data analysis.
1. Data-based 2022 stock portfolio status (feat. minimum loss is the best profit)
2. Find a data-based wedding hall
3. Data-based first real estate registration in my life (feat. I only aim for quick sales)
It may seem like I need some new skills and have to learn something new, but the above content is just the basics I learned in my lectures applied to different fields and topics. Through this expansion and application, I am creating an environment where I can focus on my main job without being greatly affected by changes or pressures from various external environments, and I am improving my quality of life.
I wonder if many people sympathize with the way of improving the quality of life through coding, and many people are still interested in my lectures in 2022. In just over a year since the first free lecture was released, a total of 8,400 people have taken the course:
For those of you who haven't yet boarded the "Improving Your Quality of Life with Python" bus, we're planning to hold a 20% discount event for all lectures for about 2 weeks (3/18 ~ 3/31) :
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
* Go to the full roadmap (click)
In 2021, 2022, and beyond, we will continue to strive to share knowledge that can change the lives of many people.
thank you