ビットコインアルゴリズムトレーディングボットの開発

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.

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.

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.

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.

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.