인프런 - 라이프타임 커리어 플랫폼

Create your own revenue model with programming.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

The fact that you can analyze data more easily and effectively with Python Pandas instead of Excel! Learn the basic functions of the Pandas library and how to use it in practice through financial data analysis.

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.

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

This is a basic financial management course that covers realistic asset management and investment methodologies for working professionals. It covers how to build a portfolio tailored to your own investment style through various financial products including ETFs, and how to build assets safely and steadily.

This lecture teaches how to create diverse quant investment strategies using ChatGPT. Use ChatGPT to build your own quant investment strategy.

This course teaches the process of [idea generation - data collection - verification through backtesting] for developing a Bitcoin cryptocurrency coin bot that can generate automatic profits, as well as the principles of the AIS1, AIS2 investment strategy developed by the instructor, stock selection and buying and selling points and backtesting, and the source code for bot execution.

Learn all the steps from A to Z required to create and operate a cryptocurrency automatic trading coin bot. (Basics of using exchange APIs, deployment using AWS) You can also learn investment strategies (such as using Kimchi Premium) that can generate risk-free returns of around 10% per year by utilizing the structural characteristics of the cryptocurrency market.

We will teach you an automated Bitcoin futures trading technique that can help you make profits even in a bear market.

This course is a basic economics course that helps you easily understand the connection between macroeconomics and investment. It allows even beginners to make effective investment decisions based on economic indicators.

You can understand the concept of DeFi, known as decentralized finance, and get a quick overview of the flow of the entire cryptocurrency ecosystem.

You can use your paycheck effectively to build wealth and lay the foundation for proactive financial management for your future.

This is not some pie-in-the-sky, fraudulent content that promises to make you hundreds of millions or billions of dollars. I will share with you the most realistic financial investment methods that are actually helpful for each level (years of service) in your work life!

This course is a basic introduction for those who are new to bond investment. It explains everything from the concept of bonds to practical investment strategies.

A tailored guide for beginning real estate investors who find auctions daunting

This lecture covers the basics of crypto investment, including the value and risks of Bitcoin, Ethereum, and other Layer 1s (Cosmos).

Learn about the concept of Bitcoin, a P2P financial network that has never existed before, and the innovative transaction method through it! You will learn how the network works, its stability, and how to verify the integrity of transactions.

This is a lecture on creating an automatic stock trading bot using the IBK Investment & Securities Xing API. Create your own automatic stock trading bot that trades automatically 365 days a year.