Hướng dẫn đầu tư ETF trả cổ tức hàng tháng cho tự do tài chính!

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.

This course introduces a strategy to achieve 10% annual returns through long-term government bonds. It is a practical curriculum that helps you make investment decisions based on bonds and economic indicators.

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.

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.

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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.

You can understand the current status and future direction of the virtual asset market. It is organized as essential information that developers, investors, and business people must know.

Analyze over 40 types of economic indicators and stock data with AI to create your own powerful stock price analysis model that predicts not only S&P 500 and QQQ ETF, but also individual stocks!

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

The first step to becoming rich is to understand your assets and cash flow! Learn from accountant Andrew Kim how to use financial statements used in companies for personal financial management.

Automated trading program, source code ready-to-use! Deploy to production with Oracle Free Tier server!

Are you lost on where and how to start preparing for a job in the finance sector? This lecture is not a typical theory class. Through the vivid strategies and trial-and-error of a real experienced person who passed bank applications not just once, but twice, you too can discover a concrete path to getting hired. “Getting a bank job: Everyone dreams of it, but not everyone achieves it.” Now, learn the strategy to become someone who isn't just 'anyone'.

This is a course for beginners in stock data analysis. Get started with stock data analysis using Python!