Building an automated stock analysis system without writing a single line of code feat. Claude CLI

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

You must use the Sonnet 3.5 model to ensure you do not exceed the usage limit.

You may find the lecture a bit fast-paced. If there is anything you don't understand, please feel free to ask questions at any time, and I will provide answers. If a single response isn't enough to resolve the issue, I will help you through Discord 1:1 direct messages.

⚠️ Investment Disclaimer (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 lecture content does not guarantee profits, and the student is solely responsible for all profits and losses resulting from actual investments. Please use this wisely as an auxiliary tool utilizing AI and data.

[Curriculum Guide]

Parts 1 and 2 are currently available, and one part will be updated sequentially every week. (Total of 10 parts scheduled for completion)

If you enroll now, you can follow the entire course at the lowest price.

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

Part 2: Python Basics Practice (Building a calculator and crawler by directing AI)

Part 3: Lecture Update Completed (2/23)
Part 4: Lecture Update Completed (2/28)

Part 5: Lecture update scheduled (3/8)

Part 6 ~ 10: (Weekly updates scheduled) Data collection, DB construction, algorithm implementation, Telegram bot, web dashboard deployment, etc.

The number of lectures in each part may be subject to change.

"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 . While running the channel, there is one question I have received most frequently and consistently from my subscribers.

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

I created this course to quench that thirst. These are not simple examples. I have captured the entire process of building the 'Automated Stock Analysis System' that I use for actual trading every morning from scratch 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 "grunt work" of copying and pasting code line by line from a web chat window.

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

Key Course Point: Real-world Full-stack Workflow

In lessons 1 to 3, you will experience creating a stock program exactly as shown using the prompts provided in the files I give you.

From Lesson 4 onwards, we 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 an API server to web dashboard visualization, and even Telegram reports delivered automatically 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 data analysis systems for anything—not just stocks, but also real estate, cryptocurrency, and more—using the same structure.

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

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

After taking this course, you will be able to create results like this

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.

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

After installing WSL2 (Ubuntu), you can follow the same hands-on practice.

(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, and server operation

Frontend Node.js (18 or higher) Free Run Next.js-based dashboard screen

Editor VS Code FreeCode verification and terminal execution (Optional)

3️⃣ External APIs (No additional cost)

Instead of using 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 via web crawling without any separate paid APIs.

4️⃣ Recommended PC Specifications

Since you are not running 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 higher)

• Disk: 10GB or more of free space

• Internet: Stable wired/Wi-Fi environment required

📚 Learning Materials Guide

To ensure your successful system construction, we provide all exclusive prompts and source codes.

📦 Materials Provided

1. Prompt Collection (Notion File Provided) ✨ (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 your own prompts has slightly different variable names, if the functionality works, that is the correct answer.

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

🎯 Prerequisite Knowledge & Learning Guide

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

This course is not about becoming a developer, but rather a course on using AI as a tool to achieve a 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).

• Basic Stock Knowledge (Recommended): Knowing basic terms like 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 spit out 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. Review: In particular, Part 4 (Closing Price Betting Engine), Part 7 (Dashboard), and Part 9 (Backtesting) contain in-depth content. I recommend taking your time and reviewing them 1–2 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 to receive 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 Updates: We check for compatibility and provide announcements during major tool updates.

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

⚠️ Investment Disclaimer (Disclaimer)

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

Following the lecture 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.