(AI Quant) Creating an automated stock analysis system without writing a single line of code feat. Claude CLI

Part of the completed screen!

[Hodu's AI Analysis Lab] Building a Practical Stock Analysis System with Claude CLI

https://www.youtube.com/@두두감자

You must use the Sonnet model to ensure you do not exceed the usage limits.

The Google free API has been discontinued as of March 2026.

⚠️ Investment Precautions (Disclaimer)

• This course covers the methodology for anyone to quickly build a stock analysis system through Vibe Coding. It is designed for the purpose of teaching how to construct automated analysis systems using widely used strategies in the current market, such as closing price betting, VCP pattern analysis, Smart Money screening, and ML predictions. It does not recommend the buying or selling of specific stocks, nor does it guarantee investment returns.

• The returns, win rates, and backtesting results shown in the lecture are simulations based on sample and test data, and past performance does not guarantee future returns.

• The stock names, scores, and ratings mentioned during the lecture are examples for system demonstration purposes only and do not constitute investment recommendations.

• The investor is solely responsible for all profits and losses resulting from actual investments, and the instructor bears no legal responsibility for the student's investment outcomes.

• AI and data analysis tools are merely means to assist in investment judgment; final investment decisions must be made based on your own judgment and responsibility.

• The data crawling demonstrated in this lecture is provided for learning and testing purposes only. For actual operation and distribution, it must be replaced with official APIs personally issued by the user, such as KRX (Korea Exchange), KIS (Korea Investment & Securities), or Toss (Toss Securities). Continuous use of crawling methods may violate the terms of service of each site and lead to legal issues, and the responsibility for such actions lies solely with the user.

📋 Notice Regarding Report of Para-Investment Advisory Business

• This lecture and related service provider is a business that has completed the report for pseudo-investment advisory services to the Financial Services Commission in accordance with the "Financial Investment Services and Capital Markets Act."

Part 1: Installing Claude Code and Setting Up the Development Environment (Using Antigravity)

Part 2: Python Basics Practice (Creating a Calculator and Crawler by instructing AI)

Part 3: Lecture update completed (2/23)
Part 4: Lecture update completed (2/28)

Special Lecture: Telegram Integration Completed (3/5)

Part 5: Lecture Update Completed (3/8)

Part 6: Lecture update completed (3/18)

Part 7: Next.js_Dashboard Completed (3/27)

Part 8: Automation_Scheduler Completed (4/7)

"You don't need to know coding. Just learn how to 'properly' instruct the AI."

Hello, I am Hodu, the creator of the YouTube channel <Hodu's AI Lab>. While running the channel, there is one question I have received most frequently and consistently from my subscribers.

"Can I also make the stock analysis system that you use, Hodu?" "I don't know anything about coding; is there a lecture that teaches me from start to finish?"

I created this course to quench that thirst of yours. These aren't just simple examples. I have captured the entire process of building the 'Stock Auto-Analysis System' that I use for actual trading every morning from the ground up using Claude CLI, without leaving anything out.

Why 'Claude CLI'?

Don't be fooled by "5-minute coding" videos on YouTube anymore. You cannot build complex systems through the "manual labor" of copying and pasting code line by line from a web chat window.

In this course, we use the latest AI development tool, Claude CLI. You will experience true automated development where the AI directly creates project files, modifies code, and even fixes errors within the terminal environment.

Key Point of the Lecture: Practical Full-Stack Workflow

In lessons 1 to 3, you will experience creating the exact same stock program using the prompts provided in the files I give you.

From Lesson 4 onwards, you will begin learning how to use prompts and the "Why" behind writing them this way.

✅ Real Data Handling Building a pipeline to collect and process real-time price data for all 2,500 stocks

✅ Advanced Logic Implement a scoring engine that crawls news data, performs sentiment analysis using AI, and quantifies your own investment strategies

✅ Full Automation From building API servers to web dashboard visualization, and even Telegram reports automatically delivered every morning

After taking this course

Instead of simply typing along with the code, you will gain the 'ability to design like a developer.'

• Scalability: When new analysis indicators or strategies come to mind, you will be able to add them with confidence.

• Structuring: You will gain the power to conquer complex systems by breaking them down step by step.

• Adaptability: You can build any data analysis system, whether for real estate or cryptocurrency, not just stocks, using the same structure.

The fastest way to turn your ideas into reality, start now with Hodu using Claude CLI.

👉 Go to Hodu's AI Analysis Lab YouTube Channel: https://www.youtube.com/@두두감자

You will be able to create these results after taking the course

Learning Content

Notes Before Taking the Course

🛠️ Practice Environment Guide

Check before you start! This course was filmed in a macOS environment, but Windows and Linux users can also take it without any issues. A standard office or development laptop without a GPU (graphics card) is sufficient.

1️⃣ Operating System (OS)

The course is conducted based on macOS, but 99% of the content is the same regardless of the OS.

Differences between operating systems (such as scheduler settings) will be kindly explained separately within the lecture.

OS Recommended VersionRemarksmacOSmacOS 13 (Ventura) or higherStandard environment for the course (utilizes native features like launchd)WindowsWin 10/11 + WSL2

You can practice in the same way after installing WSL2 (Ubuntu)

(For the scheduler, use Windows Task Scheduler)

LinuxUbuntu 22.04 or higher. Fully compatible using cron, etc.

2️⃣ Essential Tools and Software

Since AI handles the coding, you only need to prepare the tools to give instructions (Prompts).

Core Tool: Claude Code (CLI) Paid ($20/month~)

The core engine of Vibe Coding: Backend. Python (3.9 or higher)FreeData analysis, crawling, server operation

Frontend Node.js (18 or higher)FreeRuns Next.js-based dashboard screens

Editor VS Code FreeCheck code and run terminal (Optional)

3️⃣ External APIs (No additional cost)

Instead of complex paid data services, we maximized cost-effectiveness by utilizing free crawling and API free tiers.

• Google Gemini API: AI news summarization and sentiment analysis (utilizing the free tier)

• Naver OpenAPI: News search (25,000 requests per day for free)

• Telegram Bot API: Sending buy/sell notifications (completely free)

• 🚫 Stock price data: Handled through web crawling without a separate paid API.

4️⃣ Recommended PC Specifications

Since you won't be running the machine learning training yourself, a high-spec PC is not required.

• CPU: Dual-core or higher (Recommended: Apple M1~M3 or Intel i5 or higher)

• RAM: 8GB (Recommended: 16GB or more)

• Disk: 10GB or more of free space

• Internet: Stable wired/Wi-Fi environment required

📚 Learning Materials Guide

To ensure the successful system construction for all students, we provide both the exclusive prompts and source code.

📦 Provided Materials

1. Prompt Collection (Notion file shared) ✨ (Core Material)

   • This is the alpha and omega of the lecture. We provide over 120 commands to be entered into Claude Code for each part, along with a troubleshooting guide. Experience building a system simply by copying and pasting.

2. Lecture Notes & Slides

   • It includes the full architecture diagram, a summary of core concepts, and a checklist.

3. Completed Source Code

   • This is a reference (answer key) you can consult in case you get lost.

💡 Tips for Using the Materials

• Try creating it yourself: The provided final code is for reference only. Even if the code you create by entering prompts yourself has slightly different variable names, if the functionality works, that is the correct answer.

• Maintenance Guide: If the code stops working because the target crawling site (such as Naver Finance) has been reorganized, simply provide the error message to Claude Code, and it will fix it for you. (This method is also covered in the lecture!)

🎯 Prerequisites & Learning Guide

"Is it okay if I don't know how to code?" 👉 Yes, it is possible!

This course is not about becoming a developer, but rather a course on using AI as a tool to obtain the desired result (a stock analyzer).

• Programming Experience (Not Required): Claude writes the code using the 'Vibe Coding' method.

• Python/Terminal knowledge (Not required): We will guide you step-by-step starting from basic terminal usage (Part 0).

• Stock Basics (Recommended): Knowing basic terms such as moving averages and trading volume will help you understand investment strategies.

🚀 Recommended Learning Roadmap

1. Type it yourself: Don't just watch. You must experience the process of entering prompts yourself and seeing the AI generate code for it to truly become yours.

2. Follow the order: The structure is designed to build up step-by-step from Part 1. Skipping parts may lead to errors.

3. Don't be afraid of errors: When an error occurs, don't panic; copy the error message and ask Claude. That is the core skill you are learning in this course.

4. Reviewing: In particular, the content in Part 4 (Closing Price Betting Engine), Part 7 (Dashboard), and Part 9 (Backtesting) is quite deep. I recommend taking your time and going through them 1–2 more times.

📢 Q&A & Updates

Q&A and Feedback

• Please use the [Inflearn Q&A Board] for your questions.

• When asking a question, please include the entire error message and the OS you are using for a much faster and more accurate response.

Lecture Update Policy

• Responding to Site Structure Changes: Prompts and code will be updated when the target crawling sites undergo changes.

• Claude Code Update: We check for compatibility and provide announcements during major tool updates.

• Copyright Notice: Please use the prompts and materials from this lecture for the student's personal learning only. (Unauthorized distribution/sharing is prohibited)

⚠️ Investment Precautions (Disclaimer)

The closing price betting strategy, VCP pattern analysis, and automated trading system covered in this lecture were created for the purpose of educating on system construction methodology.

Following the course content does not guarantee profits, and the student bears full responsibility for all gains and losses resulting from actual investments. Please use this wisely as a supplementary tool utilizing AI and data.