No More ChatGPT API Calls: Building My Own Automated Trading AI with Reinforcement Learning

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

It consists of the concept and management of state property, restrictions on disposal and use permits, disposal of general property, sale, exchange, development, in-kind contribution, and price determination of disposed property. Since this is a law dealing with tangible assets of economic value that are state-owned property, experts with extensive practical experience will provide easy-to-understand explanations of only the key points.

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.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

We will examine the changes that AI technology has brought to the entire financial industry through various cases such as fintech, investment, credit risk, and fraud detection. Through hands-on practice using Python libraries, you will understand the application methods and strategic insights of financial AI and learn how to safely integrate generative AI into financial services.

Revolutionize your stock investing with AI! In this course, you’ll build a fully functional AI automated trading system that targets the top 25 Nasdaq stocks. Gain experience and know-how through paper trading with the Korea Investment & Securities API, and take advantage of this special opportunity to conduct AI-powered automated stock trading with a real account. Even if you’re a complete beginner, there’s no problem. We’ll explain the basic concepts of stocks and why you should invest in U.S. stocks in an easy-to-understand way, and provide all source code along with remote support. From now on, investing is essential for the next 60 years of our lives. Build your own AI investment partner to accompany you!

Recently, all the remarkable achievements in the field of artificial intelligence are being announced in the area of reinforcement learning. This covers reinforcement learning technology—which is bringing about true innovation in AI such as robotics, autonomous driving, and humanoid machines—from basic to advanced levels in an easy-to-understand way for beginners.

Build your own powerful stock analysis model that uses AI to analyze over 40 types of economic indicators and stock price data to predict not only the S&P 500 and QQQ ETF, but also individual stocks!

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.

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

"Why does my automated trading system collapse in a declining market?" I, too, have wrestled deeply with the same question. Most automated trading logic on the market may appear to generate profits during bull markets, but the moment market conditions change, it loses its ability to adapt. To solve this problem, I combined the expertise I developed through two years of hands-on research with the latest AI technology. In this course, you will learn how to design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and the movements of individual stocks, and how to automatically train and deploy it in a free GPU environment. In particular, by introducing sophisticated, hedge-fund-level data normalization techniques, you will build an 'intelligent comprehensive scoring system' that goes beyond simple indicators by incorporating short-selling balance and order-flow data. On top of that, an ‘AI safety gate’ infused with the insight of a Wall Street trader with 20 years of experience provides the final confirmation from the perspective of a human trader just before a purchase. Going beyond simply buying and selling, you will implement the entire process of an institution-grade algorithmic system with dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reporting—all with your own hands.

This lecture is for those who have heard of the term deep learning but don't know where to start :)

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

Have you ever found it difficult to know which numbers to look at first when reviewing financial statements and business reports, or to interpret why revenue and profit have changed? For more than 15 years, I have analyzed companies across a wide range of industries in the corporate finance field, and I have learned that even when looking at the same financial statements, the numbers that matter most differ depending on the industry and business model. Corporate analysis is not simply about calculating financial ratios; it is the process of understanding what a company sells to make money, what costs it bears, and how industry risks appear in the numbers. This course begins with finding the information needed for analysis in the “Business Overview” section of a business report and in the notes to the financial statements. We examine the causes of growth by breaking revenue down into selling price (P) × sales volume (Q), and assess pricing power and bargaining power by comparing raw material prices with product prices. We then classify key costs into fixed and variable costs and connect CAPEX, depreciation, capacity utilization, and cost ratios to analyze how a company’s profitability and risks differ. We also examine what needs to be reviewed differently in business reports across industries such as manufacturing, food, semiconductors, secondary batteries, shipbuilding, construction, pharmaceuticals and biotechnology, and rentals. Through real-world company examples, you will learn how to connect numbers with business structures. The goal of this course is not to memorize the many numbers in a business report. It is to learn the flow of analysis—from industry and business structure → revenue structure → cost structure → profitability and risk—and establish a framework for analyzing companies independently.

We have selected essential topics that must be understood in the flow of economics, structured to be easily and clearly comprehensible together with economics expert Kim Gwang-seok. This enables understanding of the structure connecting from small-scale regional economies to global economic systems, and allows for realistic learning of the essence of the economic field.

The "How Far Can You Go with ChatGPT?" series: Creating a Stock Auto-Trading Application and Web Investment Reports!

This is a linear algebra course that explores the meaning of vectors and matrices through illustrations and works through calculations using small examples. It covers the mathematics used in linear regression, PCA, SVD, tensors, and attention step by step. No programming knowledge is required.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

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 an introductory real estate auction course where auction expert Bugatti Kim teaches in an easy and practical way without complex legal jargon. You will learn the entire process—from searching for properties to winning bids, eviction, and monetization—through core tips based on real-world experience, helping you overcome the fear of real estate investment through auctions and gain confidence.