Building a Python Trading Room for Quantitative Investing - Part 2
Do you want to create a tool that can help you with your real-world investments using Python? In this course, you will learn how to create an interactive web dashboard for financial data analysis for intermediate Python users and learn about pair trading strategies for in-depth quantitative work. We hope that you will be able to create your own useful analysis tools to help you analyze financial data more powerfully and make wise investment decisions.
318 learners
Level Intermediate
Course period Unlimited
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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
