Create your own revenue model with programming.
416 learners
Level Beginner
Course period Unlimited
Reviews from Early Learners
5.0
배코드
Pros It was a lecture that packed a lot into a short period of time. Because the breathing was short, I was able to learn a lot in a short period of time. 1. In the technical analysis theory, the background and explanation for each indicator were well explained, so the explanation was short, but it was easy to understand because only the necessary parts were explained concisely. It was good to be able to learn the numbers and meanings of each indicator in a short period of time. 2. The explanation of the data analysis library Pandas was easy to understand. 3. I think I understood the theory of algorithm improvement (grid search, Bayesian probability), but it was not as easy as I thought when actually coding. 4. It was easy to modify the trading bot by looking at the actual completed code. Cons I confirmed that the algorithm related to long-term trends, short-term price fluctuations, and short-term trading volume provided here did not generate profits no matter how well the parameters were given and the backtesting period was extended during the backtest. I learned that trading strategies are important, but I wish there were lectures related to trading strategies later.
5.0
기후니
I was wondering what a trading bot was, but after watching the whole lecture, I now have a feel for it. I think you can make a profit by using Bollinger Bands.
5.0
조정교
I'm a complete beginner, but this was a helpful lecture. I think you explain it well and easily. I need to study a little more and make my own trading bot.
Theory of technical analysis, theories such as technical analysis indicators
Programming such as Pandas basics, backtest development, and trading bot development
Attention to those curious about developing trading bots!
Implement your own revenue model 💸
Basic technical analysis theory for algorithmic trading,
Learn how to use open APIs, backtest, and implement programs.
We reduce the risk and time required to develop trading bots.
I'm developing a Bitcoin algorithmic trading program (trading bot) for a new future. I've gone through a lot of trial and error, and experienced a few failures. I created this course for those who, like me, have developed or want to develop their own trading bot. I'll save you the time and money I spent in the past.
In emotions and greed
Unswayed
rational investment
Unlike people
Without getting tired
24/7 operation
data, algorithms
The influence is absolute
Advantageous for cryptocurrency investment
Due to high volatility
With the trading system
High profit expectations OK
✅ Those who want to create a new revenue model using the program
✅ For those who want to make rational investments based on data
What you'll learn 📖
Who is this course right for?
Passionate about creating new revenue models using the program
For those who want to make rational investments based on data
1,040
Learners
73
Reviews
116
Answers
4.8
Rating
4
Courses
Multicore is a programmer and an artificial intelligence expert. He has been active in various fields as a programmer and currently handles tasks for improving business environments using data analysis and reinforcement learning at a corporation. He strives continuously to show his juniors that artificial intelligence is not a domain reserved only for a few experts with advanced degrees, but a field that programmers can also fully challenge themselves in.
○ Writing (Authoring)
ㆍCreating AI Apps Without Coding: Mastering Dify No-Code / 2025.12 / Freelec
ㆍWriting Reinforcement Learning Through Code Like a Developer / 2025.08 / Freelec
ㆍWriting Bitcoin Futures Automated Trading System / 2022.12 / Freelec
ㆍAuthor of Reinforcement Learning for Programmers / 2021.03 / Freelec
○ Certifications
ㆍProfessional Engineer Computer System Application
ㆍChief Information Systems Auditor
ㆍSecurities Investment Advisor
○ Key Activities
ㆍProfessional Instructor, AI Talent Training Division, Ulsan IT Industry Promotion Agency
ㆍSpecialist Instructor in AI Education, Industry-Academic Cooperation Foundation, Korea University of Technology and Education
ㆍNCS Certified Instructor
○ Lectures
ㆍKorea University of Technology and Education Industry-University Cooperation Foundation / AI Python / 2026.03
ㆍDongguk University Graduate School of International Information Security / No-code AI / 2025~2026
ㆍICT Innovation / Workflow Automation using Dify & n8n / 2025.11
ㆍPOSCO DX / AI Spark No-code AI / 2025.09
ㆍInflearn / Reinforcement Learning All-in-One Inflearn Course / 2025~Present
ㆍInflearn / Creating AI Apps Without Coding: Mastering Dify No-Code / 2025–Present
ㆍInflearn / Bitcoin Futures Automated Trading System Development Course / 2022~Present
ㆍInflearn / Bitcoin Algorithmic Trading Bot Development Course / 2022~Present
ㆍInflearn / Reinforcement Learning for Programmers / 2021~2025
ㆍGlobal Cyber University, Department of AI / Deep Learning / 2021
ㆍGlobal Cyber University, Department of AI / Machine Learning / 2020
○ Lectures
ㆍSanha Eco General Construction / Improving Work Productivity Using AI / 2026.03
ㆍYonam Institute of Technology / Future Talent Preparation Strategies in the AI Era / 2026.01
ㆍNew Green Changshin / Generative AI and ChatGPT Utilization Strategy / 2026.01
ㆍHunet Book Learning / The No-Code AI Revolution Created by Dify and RAG / 2026.01
ㆍMaker Book Festival / How should we live in the AI era? / 2025.12
ㆍHealth Insurance Review and Assessment Service / Dify & n8n Business Automation / 2025.11
ㆍKyung Hee University / Basic Prompt Theory / 2025.11
Corporate and individual lecture inquiries: multicore.it@gmail.com
Available Lecture Topics: Python Basics, AI Agents (Dify, n8n), Machine Learning, Reinforcement Learning, Python Automated Trading, LangChain, Vibe Coding
Available for video lecture content production
All
19 lectures ∙ (8hr 22min)
Course Materials:
All
26 reviews
4.6
26 reviews
Reviews 1
∙
Average Rating 5.0
5
Pros It was a lecture that packed a lot into a short period of time. Because the breathing was short, I was able to learn a lot in a short period of time. 1. In the technical analysis theory, the background and explanation for each indicator were well explained, so the explanation was short, but it was easy to understand because only the necessary parts were explained concisely. It was good to be able to learn the numbers and meanings of each indicator in a short period of time. 2. The explanation of the data analysis library Pandas was easy to understand. 3. I think I understood the theory of algorithm improvement (grid search, Bayesian probability), but it was not as easy as I thought when actually coding. 4. It was easy to modify the trading bot by looking at the actual completed code. Cons I confirmed that the algorithm related to long-term trends, short-term price fluctuations, and short-term trading volume provided here did not generate profits no matter how well the parameters were given and the backtesting period was extended during the backtest. I learned that trading strategies are important, but I wish there were lectures related to trading strategies later.
Hello, Baecode. Thank you for your detailed course review. I tried hard to reduce unnecessary content during the theory lecture and convey only the essential content. Looking at Baecode's course review, I think my efforts are effective and it gives me a lot of strength. I am currently preparing various contents related to algorithm trading. I will actively reflect Baecode's opinions (supplementing the trading strategy part) to create better lectures. Thank you. * Added algorithm lecture using Bollinger Band. I confirmed that about 70% profit was generated over 9 months through backtesting. I will develop a more improved algorithm and upload additional lectures in the future. * Added trend adaptive algorithm. Based on backtesting, it is more efficient than the Bollinger Band algorithm.
Reviews 1
∙
Average Rating 5.0
5
I'm a complete beginner, but this was a helpful lecture. I think you explain it well and easily. I need to study a little more and make my own trading bot.
Hello, Jo Jeong-gyo. Thank you for taking the class. I tried hard to explain it easily, and it is encouraging to receive good reviews about it. I will try to make better classes in the future. Thank you.
Reviews 3
∙
Average Rating 5.0
5
This is a lecture I found while looking for a Bitcoin automatic trading lecture. While other lectures focus on explaining theories, this lecture has the unique feature of providing a program that operates like an actual trading bot. If I study the trading technique a little, I might see results. The Bollinger Band trading technique you added additionally feels a little frustrating because trading doesn't happen often. Is there a way to shorten the trading time a little? I think this program could be applied to stocks. It seems that not developing a separate user screen has the advantage of saving time, but on the other hand, it feels a little frustrating. Anyway, it was an interesting lecture.
Hello, Baguette. Thank you for taking the course and giving me good opinions. First, I will talk about the Bollinger Band trading technique. The Bollinger Band technique is inherently not traded frequently. It is not common for the asset price to fall below the band, and in the code, it is purchased when the current price falls below the band at a timing when the 120-minute weighted moving average is greater than the 240-minute weighted moving average. This happens even less often. The core of the Bollinger Band trading technique is to purchase at an accurate timing rather than frequent trading. However, if you lower the stop loss and take profit ratio a little, you may be able to reduce the trading time a little. Next, you gave me an opinion about the UI, and I also thought about this when I first created the course. Although it is convenient to have a UI, it takes a lot of time and effort for those who are not familiar with Python UI to learn it. So I thought about focusing on the algorithm rather than the UI. I am thinking of adding full-scale UI development in the next course. Providing a UI means that you have to provide many functions that users can conveniently use, such as data collection, backtesting, various algorithm option management, and coin selection through the UI. Therefore, I think you should create a lecture for intermediate and advanced users, not beginners. Thank you again for your good opinion, Baguette. I will always try to develop the lecture into one that is helpful to students.
Reviews 21
∙
Average Rating 4.6
5
I listened to this lecture almost 4 times. At first, I didn't understand it, so the lecture was too difficult. However, after reading the lecture content quickly, listening to the concept, and implementing it myself, it really became mine. I think many people will get stuck in the beginning part of the backtest. (You have to spend a lot of time and implement it yourself) (In my case, I did this and that in the backtest part, so there was a part where I did the backtest for almost a week, and it was a good opportunity to think about many things.) After watching it again and again, I realized that this lecture was more informative than other lectures. Other coin or stock lectures don't have much content, but the price is really expensive. However, this lecture explains the basic indicators in detail, and teaches how to do backtesting, and how to apply it to the actual coin market. After listening to this lecture, I thought I would study TA. If you are good at TA, you can set up a strategy and make it into a bot. In my case, after completing this course, I thought I had nothing more to do with programming (making bots), so I am gifting from Binance to train my TA. (I am studying DJANGO to make my own bot in the future) If there is a future course, I hope it will be focused on TA. (And Binance gift bots) Thank you.
Hello, Dong-hyuk Kim. Judging from your review, it seems like your skills have improved a lot. It seems like you are going in the right direction. The core of algorithmic trading is technical indicators. At first, I tried making algorithms using various methods (statistics, machine learning, artificial neural networks, etc.), but the algorithm that utilized technical indicators was the most efficient. TA (Technical Analysis) is an easy-to-use implementation of technical indicators in Python. If you study TA in depth, you will be able to create algorithms with higher returns. You said you are currently trading futures, but I am also investing in Bitcoin spot (Upbit) and futures (Binance) at the same time. In theory, futures can make profits in both rising and falling markets by utilizing long/short options, but in reality, this is often not the case. Rather, there are many cases where spot investment has better returns. Of course, this is also a problem depending on the algorithm and the product you are investing in. However, in the case of futures, there is a risk of account liquidation when using a lot of leverage, and legal issues have not been resolved. I think the following article will help you make a decision. https://www.coindeskkorea.com/news/articleView.html?idxno=75446 Mr. Dong-hyuk Kim requested additional lectures on TA, so I will consider it when I make the revised lecture. Since this is my first time making a lecture on algorithmic trading, I have many regrets. I will listen to the opinions of the students and make a better lecture. I wish you success, Dong-hyuk Kim. Thank you.
Reviews 1
∙
Average Rating 5.0
5
I was wondering what a trading bot was, but after watching the whole lecture, I now have a feel for it. I think you can make a profit by using Bollinger Bands.
Hello, Ki-Gi-nim. Thank you for taking the course. There are various technical indicators other than Bollinger Bands. It is important to analyze several technical indicators together on the Upbit chart screen and find an indicator that explains the trading timing well. This is the beginning of algorithmic trading. You can create an algorithm using these indicators, then verify the algorithm through backtesting and integrate it into a trading bot. I hope you have good results in the future. Thank you.
Check out other courses by the instructor!
Explore other courses in the same field!
