Creating a Python Trading Room for Quant Investment - Part 1

hello

It's Suit & Coffee

Finally, we have opened 'Creating a Python Trading Room for Quant Investment - Part 3'

I am truly sorry and grateful to the students who have waited.

The topic of Part 3 of Creating a Python Trading Room for Quant Investment is 'Portfolio'. Portfolio is a major axis in the field of quant, and it is a topic that is easily accessible to individuals and investors.

“Why should we create a portfolio? Is a portfolio essential for investing?”

This lecture was created with the question, “Why should you create a portfolio from a quantitative perspective?” It specifically covers the question of what knowledge you need to create your own portfolio.

It consists of two sections. Section 1 covers portfolio theory. Rather than proceeding with actual portfolio investment, it covers the effectiveness of the portfolio through portfolio theory. Section 2 covers code practice and momentum strategies for actual portfolio investment. It covers mistakes that can be made when dealing with backtesting code and popular and easy-to-follow momentum strategies.

I have consulted many books and lectures and put a lot of thought into organizing this lecture. I wanted to share and solve the question of why we should learn portfolios.

I've been thinking a lot about making this lecture for a long time and I'm glad I finally got around to completing it. I really hope it helps you.

Please refer to the Intro for more details.

Happy New Year, and I will always support your studies.

thank you