Pillow Investment Method Complete: Fully Automated AI Stock Trading That Makes You Excited for the Morning — Claude Vibe Coding

"Why does my automated trading system collapse in a falling market?" I, too, spent a great deal of time grappling with the same question. Most automated trading strategies on the market may appear to generate profits during bull markets, but the moment market conditions change, they lose their 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 assets, and how to automatically train and deploy it in a free GPU environment. In particular, by introducing sophisticated data normalization techniques on par with those used by hedge funds, you will build an 'intelligent comprehensive scoring system' that goes beyond simple indicators to incorporate news sentiment. On top of that, an ‘AI safety gate’ infused with the insight of a trader with 20 years of Wall Street experience adds a final layer of conviction from the perspective of a human trader just before a purchase. Going beyond simple buying and selling, you will implement the entire process of an institutional-grade algorithmic system yourself—including dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

(4.9) 33 reviews

269 learners

Level Basic

Course period Unlimited

Python
Python
Machine Learning(ML)
Machine Learning(ML)
AWS
AWS
FastAPI
FastAPI
Quant
Quant
Python
Python
Machine Learning(ML)
Machine Learning(ML)
AWS
AWS
FastAPI
FastAPI
Quant
Quant

Reviews from Early Learners

4.9

5.0

byunbros

100% enrolled

I purchased the course and spent the last two days studying hard to complete it. I plan to start mock trading this Monday. I should definitely check out the instructor's other lectures as well. I've become very interested in automated trading. Thank you for the great course.

5.0

조남오

100% enrolled

I've quickly gone through the lectures. Thank you for your effort in finding and improving new tools for every lesson. I will listen to them several times and follow along. Great job.

5.0

ENEN

32% enrolled

I think there is more to learn from this lecture than I expected. I started with this one without taking the previous courses, but now I’m convinced that I should go back and take those as well.

What you will gain after the course

  • [Deliverable] Ownership of a ‘100% fully automated trading program’ ready for immediate real-world deployment (full source code provided)

  • [Skills] Advanced, expert-level development capabilities combining deep learning (Transformer) and AI (LLM) with financial data

  • [Psychology] The psychological freedom to entrust monitoring to a robust, multilayered defense system and focus fully on everyday life.

  • [Operations] A Continuous-Operation Environment Running 24/7 in the Cloud Without My PC

  • [Expansion] Advanced data capabilities that incorporate earnings release schedules into AI decision-making

  • [Security] Ability to implement production-grade security for systems handling real money transactions

🔥 Update (2026.06.28): Now automated trading runs 24/7/365 even when your PC is turned off 🔥


✅ 24/7 uninterrupted operation without a PC (AWS cloud deployment)

The automated trading system is deployed on an AWS server, allowing it to run 24/7 without interruption even when your PC is turned off. If the server unexpectedly shuts down or reboots, the program automatically restarts. The video covers the entire process, from creating the server and setting up the environment to configuring continuous operation and deployment.

✅ Automatically detect stocks with upcoming earnings announcements and let AI decide whether to buy (integrated with an earnings calendar)

Just before purchasing, the AI (Claude) is provided with the stock’s next earnings announcement date and expected EPS. The AI directly checks whether the stock’s earnings announcement is imminent and decides whether to make the purchase.

✅ Real-world, enterprise-grade security implementation (enhanced security)

RLS has been enabled for all tables in the Supabase database, and the server-only key has been separated. We have achieved enterprise-grade security by configuring the server firewall and locking down the permissions on the environment variable files.

✅ Relaxed buying criteria to include bullish stocks (logic improvement)

Fixed the weekend time determination error and relaxed the RSI buy threshold from 65 to 85 so that strong-performing stocks are also included as buy candidates.

Automated trading runs 24/7 without interruption on an AWS cloud server, so you don't need to leave your PC on.
Even if the server stops, it automatically restarts.

🤝 "Personal support from the instructor until the issue is resolved"

"We take responsibility for supporting you until your system is up and running."

  • When you have questions, the instructor will personally provide a detailed response as quickly as possible (approximately within 24 business hours).

  • Detailed guides for troubleshooting errors and dedicated support


🚨Even if you are not skilled at coding or are new to stocks, you can complete a professional-level system with the full source code and step-by-step guide provided.

💲Cloud API: around 3,000 won per month, plus$5 per month when using an AWS server

"Do you find yourself repeatedly making regrettable trades, swayed by your emotions whenever the market fluctuates?" Amid rapid shifts in market trends, personal emotional judgment can inadvertently increase risk. If you have felt the need for objective, data-driven risk management and a systematic response infrastructure, this course will be the turning point in completing a stable automated stock trading system.

This course is a process of directly building a ‘100% fully automated trading system’ exclusively for you—something that is never provided by stock trading apps on the market. Anyone can make money in a bull market, but true skill reveals itself in a bear market.

Based on the know-how gained from designing large-scale financial systems, I completed a robust system that can recover on its own even from unexpected errors and operate 24 hours a day without stopping. Furthermore, I built a “multi-layered defense logic” that filters and verifies stocks through multiple layers, keeping my account safe from market risks such as sudden crashes and volatility.

It is not just a simple condition-based search formula. From a 'Transformer-based deep learning model' that reads macroeconomic trends and individual stock movements, to a data pipeline that analyzes news sentiment, and even an 'AI safety gate' infused with the insight of a trader with 20 years of Wall Street experience—we will implement all of it with your own hands.

Now, even without knowing how to code, you can own expert-level algorithms through vibe coding and a step-by-step guide.

Even while you sleep, the system monitors the market minute by minute and executes dynamic take-profit and stop-loss orders. When you open your eyes in the morning, instead of the fear of an overnight market decline, the friendly profit report from your AI assistant delivered via Slack will fill you with excitement.

Not just a simple auxiliary tool, but a true 'pillow investment strategy' that will protect and grow your account. Start now!

"Now

Instead of the fear of a downturn overnight,

Today, my automated trading agent

I wonder how much profit it brought in this time

Before your alarm goes off every morning,

I wake up excited."

Fully automated trading that combines an institutional-grade quant strategy developed by a large-scale securities system developer with AI’s cool-headed decision-making


of this course's algorithm

This is the actual rate of return.


I did nothing.

These are the results of the AI system making its own decisions and executing trades.

  • Investment amount: 10 million won

  • Period: May 6–May 27, 2026 (21 days)

* Screenshot captured immediately after waking up at 5:50 a.m. on May 27, 2026


* These results are records of actual trades executed in my Korea Investment & Securities account.


🚨 March 2026, Global Stock Markets Plunge Dramatically

March 2026, when everyone was recording losses

  • Market conditions: Global stock markets plunge indiscriminately in the aftermath of the U.S.-Iran war and oil shock (the green box in the chart above)

  • The reality for ordinary investors: mental breakdowns caused by panic selling and helplessly watching their losses pile up


🛡️During the same period, the defensive performance of the “Pillow Investment Method: Complete Edition”

During the same period, successfully defended a +1.48% return

  • Actual results: Even as the market plunged, the logic worked, protecting +1.48% in returns!

  • The secret to success: It wasn't based on simple intuition. Transformer-based deep learning and risk management algorithms detected downside signals in real time to protect your assets.




"Designed to prioritize risk protection even amid market volatility."

This is the difference that only an 'institutional-grade quantitative strategy AI' can deliver—not a simple rule-based bot.


🛑 Have you ever felt this kind of 'frustration' while taking another automated trading course?

Three real reasons why many people try automated trading but ultimately give up.


1. "They said it was automated, but it requires way too much manual work."

  • Do you have to collect data yourself every morning and manually enter various commands? That’s not automated trading—it’s merely a 'manual assistance tool.'

2. "Systems without exception handling are unreliable to run continuously"

  • If the program stops due to an error it could not predict during your main job or hits an API limit, real-time response becomes impossible. A system without a self-healing mechanism cannot be considered truly automated.

3. "One-dimensional strategies focused primarily on bull markets are vulnerable to market changes"񎟀

  • Simple breakouts based on technical indicators or fixed screening criteria struggle to adapt flexibly when market trends change. Only when dynamic risk management is combined with defensive filters can it become a sustainable trading engine.


💡 The complete version of the Pillow Investment Method is the 'final destination' of personal automated trading.

We provide a complete automated trading system created by an expert who led the practical design and development of systems for major securities firms.


 1. True 100% automation that doesn’t lift a finger

  • All-in-one, from data collection and analysis to buying and selling:

    • It includes FRED macroeconomic indicators, news sentiment, technical indicator analysis, machine learning Transformer model training, and a real-time market data pipeline, requiring no manual intervention whatsoever.

  • Real-time reports from your Slack assistant:

    • The AI organizes and reports the logical reasons for “why it bought this stock” via Slack.


 2. "Not stopping is the real skill" Expert-Level Self-Healing Logic

  • Self-healing mechanism:

    • Even when unexpected issues such as network errors or API limits occur, the system retries and recovers on its own. Designed with operational stability as the top priority, it ensures that you never miss a valuable trading opportunity.


 3. "A multilayered defense system that protects profits even in a bear market"

  • Machine Learning Transformer + Technical Indicator Scoring Model + Claude 4.7 AI Gate:


    • 37 macroeconomic indicators reveal market trends, while deep learning predicts stock prices.

    • It selects the most promising stocks by assigning a composite score to seven key technical indicators.

    • AI with the perspective of a veteran trader with 20 years of experience makes the final decision on whether to buy.

🧭 Overall System Architecture


💎 Key Differentiators of This Course


🧠 AI review of potential purchases:

A bot that buys solely when the indicators line up is risky. We build a multilayered defense system in which an AI agent conducts a final review of market conditions immediately before buying.


🛡️ Automated trading pipeline with integrated risk safeguards:

The entire process—from buying based on data predictions and AI review to selling based on rationale for four different scenarios—is protected by robust risk safeguards.

💵 Intelligent operation delivering exceptional cost efficiency


💰 Unbeatable cost-effective operation:

  • Operates 24/7 at a reasonable cost of approximately 3,000 KRW per month (Claude API) and $5 per month (AWS cloud Lightsail), excluding electricity and internet costs.

🤖 100% automated operation:

  • Automatically trade and manage without repeated commands

📢 Operational report alert: 

  • “Summarized reports on Slack of what was bought/sold today and why the decisions were made” (enhanced operational visibility)


STEP 01. [Analysis]

Market scanning & ML stock price prediction & AI final approval

"An investment strategy that makes predictions based on real-world data and increases probabilities through AI validation"

  • Integrated data scanning: We combine FRED macroeconomic indicators, real-time prices, and news sentiment to understand the market context.

  • ML Transformer Prediction: A deep learning model analyzes vast amounts of time-series data to precisely identify the stocks with the highest probability of rising.

  • AI Final Gate: Logically reviews the stocks targeted for purchase and grants final approval to buy.

STEP 02. [Execution]

Precise Entry with an Institutional-Grade Quant Strategy

"We remove emotion and identify the optimal entry point."


  • Automated orders: For stocks approved by the AI, execute automatic purchases through the KIS API without a 0.1-second hesitation.

  • Risk management: Rather than simply buying, it calculates ATR volatility to determine the optimal position size and entry price based on market conditions.

STEP 03. [Harvest]

Minute-by-minute close monitoring and dynamic profit-taking/stop-loss

"While you sleep, the system identifies optimal sell points without taking a single minute off."

  • Real-time monitoring: Immediately after the purchase, the system tracks price fluctuations every minute and activates its self-recovery mechanism.

  • Smart Selling: Rather than relying on a fixed rate of return, it executes dynamic take-profit/stop-loss strategies to maximize profits according to market movements, and immediately after the sale is completed, sends a notification with the final profit results to cheer you on throughout your day.

🎨 Even stock market beginners can simply “follow along and you’re done”

  • Supplementary PPT Materials :

    • We have significantly enhanced the course materials by actively incorporating feedback from our students.


    • Designed to make difficult stock market concepts and financial indicators easy to understand through visual materials and infographics

  • Step-by-Step Guide:

    • Simply follow the instructor’s clicks to complete an expert-level automated trading program.

    • Because you only need to follow along, it’s entirely possible even with little to no coding experience.

    • I’ll teach you how to accurately vibe-code the requirements you want.

It differs from other automated trading systems in these ways.

I recommend this to people like you.

You’re very interested in automated stock trading, but worried about returns or stability. This is recommended for those who have been disappointed by the common “simple rule”-based automated trading systems on the market and now want to make sophisticated, institutional-grade strategies their own.

You can't respond in real time.
For those who want to put an end to worrying, "What if the system encounters an error and stops?" We've prepared this for those who want to achieve true 'pillow investing' with self-recovery logic and Slack reports.

For those who want to combine AI and finance.
Recommended for those who know the basics of Python but want to experience an advanced architecture that connects them to a practical profit-generating system.

What you’ll learn.

Implement authentic technical indicators based on Wilder's Smoothing

Why should you use Wilder's smoothing instead of the standard EMA? We directly calculate RSI, ATR, and ADX using the same formulas as TradingView, Investing.com, and write rigorous quant code that even removes weekend and holiday ffill noise.

ATR-Based Dynamic Take-Profit and Stop-Loss + 4 Selling Triggers

With each asset having different volatility, does it make sense to use the same percentage-based stop-loss level? We automatically calculate take-profit and stop-loss prices for each asset based on ATR (Average True Range) volatility, and implement a sophisticated exit algorithm that combines four triggers—death cross, RSI overbought, MACD sell, and panic sell—with ADX trend strength.

FastAPI Lifespan + APScheduler + Asyncio Multi-Scheduler

How can we run buying every 5 minutes, selling every minute, and ML training daily on a Kaggle GPU simultaneously in a single process? We build a multi-scheduler operations infrastructure that runs 24/7 without conflicts through FastAPI lifespan + APScheduler + asyncio + threading isolation.

AI Buying Agent (20-Year Wall Street Persona)

Because it is risky to leave all buy decisions entirely to AI, the system includes a final verification step in which the AI evaluates buy candidates identified through quantitative data (Quant) from the perspective of a human trader. Safety is ensured through a Fail-Close approach that blocks trades if a problem occurs.

🧐 Points to check when choosing an automated trading course with no room for failure!


☝️ Does it include practical strategies and risk management logic?

Go beyond simple buy-and-sell functions and check whether you can systematically learn and apply institutional-grade quantitative strategies and a “multi-layer defense filter” for preserving your principal.


✌️ Can it become a complete system that runs 24/7, 365 days a year?

See if you can build a complete program that goes beyond theory and can run in practice without time restrictions, 24 hours a day, in any environment I have—Windows, Mac, Linux, etc.—even when the PC is turned off.


👌 Can it become a system that recovers on its own when an error occurs?

Check whether it is possible to reliably implement a “self-recovery logic” that allows the system to retry on its own and return to normal without stopping, even in unexpected situations such as network or API errors.

📢 Frequently Asked Questions (FAQ)

We’ve gathered the questions you ask most often before enrolling. Quickly find answers to your questions!

If you have any questions about something not covered here, feel free to leave them on the question board at any time.

We will respond kindly and in detail as soon as we check it!

💡 [Target Audience and Difficulty Level]

Q. I’m a non-major with no prior experience in programming or stock investing. Will I be able to complete an automated trading system with this course?

A. Yes, absolutely! This course is the 'complete edition', designed to help even coding beginners build a system that can be put into practice right away. To ensure that non-majors do not get worn out by environment setup, the course covers how to build the system without separate server costs or complicated configuration. Even when unfamiliar code appears, you have nothing to worry about because the course introduces the 'AI vibe coding' approach, which uses AI to quickly solve problems and modify strategies without requiring any prior knowledge. You can get the system running immediately by using the complete source code provided in the course as is, and we will support you through to the end via the Q&A board if you get stuck.

Q. Can I take this course (the complete edition) right away without taking the previous roadmap courses (Parts 1 and 2)?

A. Yes, you can enroll directly and have no trouble completing and running the system. This course is designed as a condensed, hands-on program, boldly omitting the basic theory and focusing on creating the final product: 'building a fully automated trading system using AI and linking it to a live account.' However, if you want to develop a deep understanding of the foundational knowledge behind the system, such as how FastAPI works and the mathematical principles of deep learning models, as well as the expertise to freely customize it according to market conditions, we recommend taking the first and second courses either alongside this one or in sequence over the long term.

Q. There are several automated trading courses. Which one should I take?

A. We have structured the three courses into one connected roadmap so that you can systematically learn market analysis and automated trading with as little trial and error as possible, all the way to building your own automated trading system. Please refer to the guide below and choose the step that best matches your current skills and goals. (If you are viewing this on a mobile device, zoom in with your fingers for a clearer view.)

▲ The course you are currently viewing is STEP 3, the complete guide to automated U.S. stock trading
If you also want to trade Korean stocks, continue with STEP 4. (On mobile, you can zoom in with your fingers for better visibility)

🛠️ [System Setup Environment and Costs]

Q. Do I have to open an account with Korea Investment & Securities? Can’t I use an account from another brokerage (such as Mirae Asset)?

A. The hands-on exercises and automated trading integration logic in this course are designed based on the Korea Investment & Securities API. Therefore, a Korea Investment & Securities account is essential if you want to get the full benefit of the course and run the program yourself. Since it is difficult to complete the exercises with an account from another brokerage, we recommend opening one conveniently online (without visiting a branch) before participating.

Q. Do I have to code exclusively with Claude? I’d like to know whether I can use other AI tools and whether there are any additional costs.

A. You may use any AI tool you are familiar with, such as Cursor, Codex, or ChatGPT. Since the LLM itself does not account for a significant portion of the automated trading system’s architecture, you can choose whichever tool is most convenient for you.

  • Additional program operating costs: There are no separate server maintenance costs, and the API calls made to analyze candidate stocks for purchase cost approximately 3,000 won per month on average. Since you are charged only for what you use, you can operate it easily without a significant financial burden.

Q. In what format are the course materials provided?

A. Along with the PPT lecture materials, we provide all the complete source code covered in the lectures. In particular, we have included detailed comments and concept explanations in Markdown files within the source code, so you can intuitively review the material right in the code editor, modify it to suit your preferences, and practice without having to search through various other links.

📈 [Investment Targets and Scalability]

Q. Is this program only available for U.S. stocks? Can it not be applied to Korean stocks or cryptocurrencies?

A. In the course, we use the “Nasdaq Top 30” stocks as examples because their trading volume is overwhelming and their data is highly reliable, allowing AI to analyze them with the greatest precision. This is to minimize execution errors (slippage) that occur when buying or selling. However, the foundation of automated trading (strategy development, backtesting, and order execution logic) can be applied identically to all markets worldwide. You can expand it as much as you like by simply changing the data source in the pipeline, which is written based on the U.S. market, and modifying the conditions to accommodate rules specific to the Korean market (such as trading hours and upper/lower price limits) or cryptocurrency exchange APIs. Using the “vibe coding” you learn in the course will also make these modifications easier. (※ As there have been many requests for a Korean market version, we are also working hard to prepare a separate course dedicated to the Korean market!)

Q. Can I customize the stocks to my liking, such as discovering promising new stocks beyond the top Nasdaq stocks?

A. Yes, absolutely! In the latter part of the course, you’ll learn how to customize stocks using Claude Vibe Coding. This allows you to freely adjust not only the target stocks but also analysis indicators, condition scores, and more as you wish, enabling you to create your own automated trading system.

Q. Are there any additional fees or taxes when trading U.S. stocks?

A. When checking real-time quotes through the Korea Investment & Securities API, you may need to apply for real-time quotes depending on the brokerage’s policies. In addition, due to the nature of overseas stocks, currency conversion costs (spread) and capital gains tax based on annual profits may be incurred in addition to trading commissions. Therefore, we recommend first verifying the system’s stability with a small amount or through paper trading before deciding on the size of your real investment.

🛡️ [Live Trading and Post-Management]

Q. Can the program I create actually generate profits? I’d like to see validation cases.

A. This system incorporates risk management logic that I have researched firsthand over the past two years and continue to validate through live operation. The course fully reveals the operational case study and know-how behind safely protecting an account with a return of +1.48% while the algorithm controlled risk even during market crises such as the surge and crash in oil prices in March 2026.

Q. How can I check the reasons for the program’s buys and sells and its real-time returns?

A. Even while the system is running automatically, you can monitor it perfectly in two ways.

  1. Trade rationale notifications: Real-time notifications are sent to the Slack app on your smartphone, providing specific reasons why the program bought or sold a particular stock.

  2. Real-time returns: You can check your account status and accurate returns in real time at any time through the Korea Investment & Securities app, where actual trades are executed.

Q. How can I get help if I encounter something I don't understand during the course?

A. If you encounter any difficulties while taking the course, please post your questions on the Q&A board at any time. We will provide detailed answers as quickly as possible, and for errors that cannot be easily resolved in writing, we will solve the problem directly through remote support. We will do our best to help you complete your own system to the end without falling behind.

(※ When asking a question, please specify the course title and timeline in detail so we can provide a faster and more accurate response.)

The person who created this course

Cybersecurity (Security Solution Development & Cryptography & Hacking)

  • Ransomware Prevention Solution Design & Development

  • Ultra-lightweight encryption and driver authentication technology for automotive and IoT environments

  • Smart Home IoT Vulnerability Analysis and Hacking Tool Development

  • Design and development of an AI web application firewall (WAF)

  • Penetration testing for large enterprises


Planning

  • Planning a group-level proactive defense system

  • Establishment of an Integrated Penetration Testing Governance Framework


Blockchain·Fintech

  • Mobility payment, NFT, and digital asset service architecture design and development

  • Enterprise STO (Security Token Offering) system implementation

Data Platforms & Automation

  • Semiconductor·manufacturing line SQL·data pipeline quality management solution design and development

  • Planning and designing an AI workflow automation platform based on n8n, MCP, and A2A

Education & Community

  • Wireless Hacking and Security Special Lecture for Semiconductor Employees

  • Operating online courses on practical IT expertise

  • Half-Price Real Estate CEO

Notes Before Enrolling

Practice environment

  • It works the same way on Mac, Windows, and Linux.


  • Install all dependencies at once using requirements.txt (which specifies the required library versions) during installation

    • Command: pip install -r requirements.txt

  • The course is conducted using the free version of Cursor IDE, but you can follow along in the same way with Visual Studio.

Learning materials

  • We provide the PowerPoint materials.

  • The source code will be provided via GitLab. (Detailed instructions on how to access and use it will be provided in Section 1 of the course.)


Prerequisites and Important Notes

  • Basic Python operating principles

  • It would be ideal if you have encountered basic Python syntax at least once, but even if you have not, you can follow along with the course and implement your own requirements through vibe coding.


Recommended for
these people

Who is this course right for?

  • Those who have taken stock auto-trading courses but are disappointed with their real-world returns

  • Office workers who are too busy with their main jobs to respond to the market

  • Investors in urgent need of reliable protection against market downturns

  • Those who want to implement a systematic risk management logic that remains unaffected by market volatility

  • Those who have suffered financial losses due to an automated trading error

  • Those interested in stocks and personal finance.

  • Developer and stock trader

  • Those interested in data science

  • Those interested in backend and API development

  • Those who want to deploy on the AWS cloud and operate automatically 24/7 without interruption

  • For those who feel overwhelmed by server deployment, incident recovery, and security configuration (firewalls, database security, and key management) and remain stuck working only locally

  • Someone interested in cloud infrastructure (AWS) and server automation

  • Tired of automated trading that only works when your PC is left on

  • Those who found server deployment and cloud operations daunting.

Need to know before starting?

  • Knowing Python basics (variables, lists, etc.) is ideal, but even with no coding experience at all, you can implement it 100% through the Step-by-Step guide.

  • Uses the Korea Investment & Securities KIS API. If you have already opened an account, you can get started with the hands-on practice quickly.

Hello
This is cheatkeyman

Inflearn Verified

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Courses

IT Developer at a Major Corporation | Specialist in Security, AI, Fintech, and Data

With hands-on expertise gained in the field, I help people without a technical background build their own systems.

👨‍💻 Professional Experience

  • Current IT developer at a major corporation (AI, cloud, data, and information security)

  • Fintech: Payment, NFT, and STO (security token) system architecture design and development

  • Data: Design and development of SQL and data pipeline quality management solutions for semiconductor and manufacturing lines

  • AI automation: Planning and designing AI workflow automation platforms based on n8n, MCP, and A2A

  • Security: Multiple projects, including ransomware prevention solutions, AI web application firewalls (WAF), and penetration testing for large corporations.

  • Half-Price Real Estate (banbu.kr) CEO — Combining practical expertise and business through a platform I plan and operate myself

🔑 An 'IT Cheat Key' Course That Teaches Only the Essentials

IT is vast, but you don’t need to know everything. If you learn exactly what you need and put it to proper use, anyone can handle IT like a pro.

My courses don’t just list theory. Drawing on practical experience and genuine dedication, they help you learn only the essential core knowledge you truly need without wasting time.

  • How to Apply Technology to Real-World Projects

  • How to Solve Real-World Problems in the Field

  • Know-how for non-majors to independently build businesses and portfolios

When technology becomes a powerful tool that transforms your life, I’ll be your “IT cheat key” on that journey.

Thank you! 🎯

Business collaboration and course inquiries
✉ banbu.jh@gmail.com

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Curriculum

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39 lectures ∙ (5hr 9min)

Course Materials:

Lecture resources
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Reviews

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33 reviews

4.9

33 reviews

  • couple5004님의 프로필 이미지
    couple5004

    Reviews 7

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    Average Rating 4.1

    Edited

    5

    100% enrolled

    I'm leaving another review after completing the course. Overall, it was a well-structured and thoroughly organized lecture. It was incredibly helpful, and I hope that through continuous updates going forward, the latest technologies and features will be incorporated.

    • cheatkeyman
      Instructor

      Hello @couple5004, thank you for leaving such a great review. I hope you successfully complete the rest of the course and build the AI automated trading system you've been aiming for. Please feel free to ask any questions you might have while studying. Just a heads-up, the second half of the course is packed with lots of handy tips~ haha. Thank you!

  • gofurther6279님의 프로필 이미지
    gofurther6279

    Reviews 1

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    Average Rating 5.0

    5

    31% enrolled

    The strategy part wasn't too difficult since I have some understanding of the concepts, but the code-related part moved so fast that I think I'll need to listen to it several times.

    • cheatkeyman
      Instructor

      Hello, @Taihak Kim! Thank you for leaving such a great review. I recommend listening to the lectures all the way through with the goal of completing the course first. I hope you finish the remaining lectures and successfully complete the AI automated trading system you desire. If you have any questions while learning, please feel free to leave them anytime. Thank you! 😊

  • yundyo4665님의 프로필 이미지
    yundyo4665

    Reviews 3

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    Average Rating 5.0

    5

    100% enrolled

    Hello! I'm finally leaving a course review, haha. I've taken several of your previous classes, and I love them because they're fun and easy to understand~ I've taken other courses because I'm very interested in automated trading, but yours is the best! Thank you for creating such a great course. I've gained a lot of insight! Thank you!

    • cheatkeyman
      Instructor

      Hello, yundyo! 😊 Thank you so much for consistently taking my courses, from the previous ones to this automated trading lecture, and for leaving such an encouraging review! I am glad that I could provide some insights to my students. I am currently working on various fun and informative content, and I will continue to create and upload valuable material that can be of help to you. Thank you. 👍

  • thisisone5124님의 프로필 이미지
    thisisone5124

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    Average Rating 5.0

    5

    31% enrolled

    I'm enjoying listening to this :)

    • cheatkeyman
      Instructor

      Hello @이건일, thank you for leaving such a great review. I hope you successfully complete the remaining lectures and build the AI automated trading system you desire. If you have any questions while studying, please feel free to ask anytime. As a side note, I share many useful tips in the latter half of the course!

  • junku717607님의 프로필 이미지
    junku717607

    Reviews 4

    ∙

    Average Rating 4.3

    5

    100% enrolled

    From start to finish, I successfully completed the process of building the system while exploring a wide range of management and cutting-edge IT topics in an atmosphere of tension. I’m very grateful, and over the next 3-4 months, I’ll delve deeper into the system, tune it, and optimize it for my use.

    • cheatkeyman
      Instructor

      Thank you for leaving such a high rating and positive review. Your course review is truly encouraging. I’m happy and grateful that you recognized my efforts to create a well-structured and trendy course. I’ll be cheering you on as you build your own excellent automated trading system, @junku71. If you run into any obstacles or difficulties while building your system, please feel free to reach out anytime. Thank you, and have a great weekend!

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