Data-driven stock quant investment with Python Part 2

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

 

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.

 

Hello. This is Deepingsauce, Infraon knowledge sharer.

 

On the 1st anniversary of the opening of the 'paid' course, the total number of students reached 5,300! (100 more after the event started)

- Course Roadmap: https://www.inflearn.com/roadmaps/474

 

To celebrate the 1st anniversary of the opening of paid lectures and to celebrate Black Friday, I would like to offer a 30% discount on my lectures for about 2 weeks starting November 26th (This will probably be the last “self” discount event I will be holding this year).

 

Why not take this opportunity to learn Python and build a foundation for smart investing?

 

Hello. This is Deepingsauce, Infraon knowledge sharer.

It seemed like the hot summer would never end, but autumn is quickly approaching as the morning air becomes chilly.

I vaguely remember opening the first lecture (Python that anyone can learn, whether they are a liberal arts student or a non-major) last year around the time the weather was getting chilly, and when I checked the calendar, I saw that the first anniversary was really approaching^^ (October 15, 2020)

A month ago, I finished the main curriculum for 'Python Quant Investment' by finishing the part 2 class. In the short period after the release, many people showed interest, so I had the honor of being featured on the main banner of the Infraon homepage. Accordingly, the total number of cumulative students is now approaching 4,800.

To thank you for your support, we have prepared a 20% discount event for all lectures to celebrate the 1st anniversary of the opening of the first lecture (until 23:59 on Friday, October 15, 2021)

 

<Go to lecture>

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.

We will continue to strive to provide better content in the future.

thank you

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