AI-Powered KR/US Quant Trading Node Analysis System (Vibe Coding)

How long are you going to manually look through 2,500 stocks every day? Searching through Naver Finance to find surging stocks after the market closes, Reading news to judge whether it's good or bad news, Checking foreign/institutional supply and demand one by one, Opening charts to analyze patterns... Aren't you repeating this every single day? I used to do that too. I spent 2 to 3 hours after work analyzing stocks, and yet I still missed more stocks than I found. With over 2,500 stocks across KOSPI and KOSDAQ combined, it's impossible for a human to see them all every day. --- So, I built a system. I created a system that automatically analyzes 2,500 stocks every day after the market closes. - Automatically collects market prices, supply/demand, and news - AI (Gemini) reads the news and determines if it's positive or negative - Scores stocks out of 15 points based on 6 factors - Selects only the stocks that pass the criteria and calculates entry, stop-loss, and take-profit prices - Sends notifications via Telegram Now, I just check my phone after work. Additionally, every Saturday, the system analyzes its own performance from the past week and automatically adjusts stop-loss lines, take-profit lines, and holding periods. It is a structure where the system learns and improves on its own. --- But I am not a developer. I didn't write the code for this system myself. I gave all the instructions to the AI verbally. "Filter out stocks that rose more than 5% today with a trading volume exceeding 50 billion won." "Send these 3 news articles to Gemini and have it judge if they are positive." "Create a scheduler so this runs automatically every day at 4 PM." When I speak like this, the AI (Claude) generates the code. This is "Vibe Coding." --- In this course, we will build this exact system. Over 58 lessons, we will build the system I actually use every day from start to finish. Starting from data collection, AI news analysis, scoring engine, signal generation, Flask API server, Next.js web dashboard, Telegram automatic notifications, and even the self-learning system. The final product is not a Jupyter Notebook. The final product is a web dashboard and Telegram notifications that actually run every day. You don't need to know how to code. In every lesson, I will show you how to talk to Claude, and if you follow along, you will get the same results. --- Recommended for: - Office worker investors who lack the time to analyze stocks every day - Those who want an automated system but don't know how to code - Those curious about quant/system trading but don't know where to start - Those curious about how to utilize AI in practice --- ⚠️ This course does not guarantee investment returns. This is a programming course on building your own stock analysis tools. Actual investment decisions are the responsibility of the student.

Building a Full-Stack System Without Coding: Complete the entire pipeline from data collection to AI/ML analysis and web dashboards using only Korean prompts (Vibe Coding). Owning a 100% Automated Pipeline: Secure an independent stock analysis tool that sends S&P 500 screening and investment opinions via Telegram every morning. Acquiring a Practical Data-Based Investment Framework: Master institutional-level data analysis and risk management capabilities based on source code currently in actual operation.

As the only hands-on course in Korea where you can experience Generative AI, Vibe Coding, and DX/AX all at once, it provides motivation and a vision for how non-majors can utilize AI technology for development in actual business and daily life. Rather than simple theoretical explanations or introductions, it helps you expect practical career improvement by providing opportunities to complete portfolios closely related to real-world tasks and practical automation projects. It is a course that even beginners can easily follow, from tool installation to actual service creation.

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.

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.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

Complete Business Innovation with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step through setting up a Google environment, utilizing Gemini, advanced searching, managing notes/tasks/schedules, using Drive and Photos, collaborating via Gmail/Meet/Chat, working with Docs/Sheets/Slides, creating images and videos, building forms and sites, analyzing data with NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction to features, the course is centered on hands-on practice that can be immediately applied to real-world work scenarios, such as searching, document drafting, data organization, presentation creation, application processing, rulebook chatbots, schedule registration, and automated survey generation. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem Google allows you to organically connect and use search, email, calendar, documents, drive, and collaboration tools with a single account. This course helps you master this connection structure centered around your workflow. 2. Immediate AI Application and Automation The course covers document writing, summarization, chatbot configuration, schedule generation, survey creation, and automated email dispatch using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By utilizing NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, you can increase the reliability of your practical work. "Add AI wings to the Google ecosystem." Now, leave the complex tasks to AI agents and focus on more valuable decision-making.

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

Workplace innovation completed with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step from setting up the Google environment to utilizing Gemini, advanced search, managing notes/tasks/schedules, using Drive and Photos, collaborating via Gmail/Meet/Chat, working with Docs/Sheets/Slides, creating images and videos, building forms and sites, analyzing data based on NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction of features, it is structured around hands-on practice—such as searching, drafting documents, organizing data, creating presentation materials, receiving applications, building rulebook chatbots, registering schedules, and automatically generating surveys—so that it can be applied immediately to real-world business scenarios. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem as One Google allows you to organically connect and use search, email, calendar, documents, drive, and collaboration tools with a single account. This course helps you master this connection structure centered on workflow. 2. Immediate AI Practical Application and Automation It covers everything from document writing, summarization, chatbot configuration, schedule generation, survey creation, and email automation using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By using NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, it enhances the reliability of your practical work. "Add AI wings to the Google ecosystem." Now, leave the complex tasks to AI agents and focus on more valuable decision-making.

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

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

One of the greatest challenges I felt while working in HRD at a human resources development center for 12 years was that while I had plenty of ideas, the coding barrier to implementing them was simply too high. This course starts from that very point. The goal of this course is to help HRD professionals implement their own ideas without having to become developers. This is a practical, vibe-coding-based course designed for those in HR, HRD, General Affairs (GA), and Organizational Culture. We will build the services you want using only free features, without the need for paid services.

n8n, the open-source AI automation tool chosen by global companies. Start your Agentic Workflow for free, without any coding!

"Why does my automated trading collapse in a bear market?" I have also deeply pondered this same question. Most automated trading logics on the market seem to generate profits during a bull market, but they lose their ability to respond the moment the market sentiment changes. To solve this problem, I have combined the know-how I researched myself over the past two years with the latest AI technology. In this course, you will learn how to directly design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and individual stock flows, and how to automatically train and deploy it in a free GPU environment. In particular, we will introduce sophisticated data normalization techniques at the hedge fund level to build an 'Intelligent Comprehensive Scoring System' that goes beyond simple indicators to incorporate news sentiment. To this, we add an 'AI Safety Gate' that implants the insight of a trader with 20 years of experience on Wall Street, adding a final layer of confidence from a human trader's perspective right before a purchase. Beyond simple buying and selling functions, you will directly implement the entire process of an institutional-grade algorithmic system by adding dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

Do you want to automate repetitive tasks with AI without using paid tools? I will share the practical know-how I gained from building systems myself using n8n and Llama. This is not a lecture where you simply learn "how to connect nodes." We will build actual workflows that you can use immediately, such as automatic Google Sheets organization, YouTube subtitle collection, AI fact-checking, and schedule management.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

3 projects that compress 20 carefully selected concepts will build 80% of your n8n skills.

This session is prepared for those who already have some understanding of or experience with automation or n8n. It covers the real-world problems and solutions Selfish Club encountered while building DB and CRM automation using n8n, so we highly recommend it to anyone considering implementing n8n automation but unsure of how to start.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!