Python Algorithmic Trading Part 2: Real-Time Algorithmic Trading with the Interactive Brokers API
You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

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Hello students, this is Daniel.
First of all, I would like to sincerely thank you for taking my lecture and sharing your valuable opinions through various channels.
When I first created this course, I expected that only a small number of people would take it because of the high level of difficulty. The main purpose was to organize the actual projects I had participated in as a freelancer, and I also started it with the intention of recording them so that I could review them later. Therefore, since it directly reflects the actual content of the field, I ask for your understanding that the level of difficulty is somewhat high.
It's been quite some time since the course was released, and recently many students have shared their thoughts on how to improve the course. Thanks to that, I think it's time to update the course. I would like to express my deepest gratitude to everyone who has given me great feedback.
However, the update will take some time. It will probably take about 2-3 weeks. Recently, I moved to a new apartment in Germany and encountered some unexpected problems, and I currently have no internet connection. I am temporarily using tethering, but unlike Korea, the internet infrastructure in Germany is not very stable, so it is difficult to film or upload high-quality videos. If the situation continues to be delayed, I am also considering renting a shared office, moving the equipment, and filming directly.
Nevertheless, we will continue to faithfully answer questions through the lecture bulletin board or email. We will also prepare to open 1:1 sessions as soon as the Internet environment stabilizes. For now, please understand that there are many disconnections when using Zoom or Google Meet.
Please take care of your health and continue to study steadily in the future. We will always do our best to help you with your studies.
thank you
Daniel DreamHello, students.
This is Daniel. I hope you all have a bountiful and happy Chuseok holiday.
I have important news to share with you regarding the lecture schedule. Part 3 of the Quant Trading lecture has been completed and will be officially opened on Thursday the 19th after consultation with Infraon. I wanted to finish the lecture sooner, but I think the past year has been the busiest time for me. While working as a freelancer and working on various projects, I have participated in short-term quant projects and am currently working on a language model development project. I cannot reveal the client, but it has been a very meaningful experience.
Back to the main topic, I would like to inform you about Quant Lecture 3, which is scheduled to open on the 19th. In particular, those who write a review for Lecture 2 will be provided with a 50% discount voucher during the early bird discount period .
We deeply appreciate your continued interest and support, and once again wish you a bountiful Chuseok.
thank you
Daniel DreamHello, students!
We'd like to introduce you to our new bootcamp.
The bootcamp will be a Python-focused course on building your own deep learning computer with Docker, and will be conducted with a strong focus on hands-on practice.
Bootcamps have their own unique advantages.
The first is the level of immersion.
The second is the Union. The lecture will be conducted so that students can freely ask questions and receive customized answers at that time, so that they can 100% understand all the content.
We plan to provide a GPU-based virtual machine working environment for students to practice.
You can participate without any burden of prior knowledge or preparation.
Please check the link below.
thank you
Daniel Dream

