Python Algorithmic Trading Part 2: Real-Time Algorithmic Trading with the Interactive Brokers API

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

Create your own revenue model with programming.

Do you want to create a tool that can help you with your real-world investments using Python? In this course, you will learn how to create an interactive web dashboard for financial data analysis for intermediate Python users and learn about pair trading strategies for in-depth quantitative work. We hope that you will be able to create your own useful analysis tools to help you analyze financial data more powerfully and make wise investment decisions.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

Automated trading program, source code ready-to-use! Deploy to production with Oracle Free Tier server!

Easy and fun Python story from a professional instructor! For beginners, we will proceed with the lecture step by step. We will provide opportunities to learn through sufficient repetition. It will be a solid stepping stone for those who are learning Python for the first time.

This course is designed to cover Python metaprogramming and in-depth grammar based on extensive Python development experience and online and offline teaching experience. Furthermore, we have prepared a curriculum that will be helpful for Python job seekers' interviews and technical interviews for experienced professionals. In addition, we will explain the process of directly distributing the library you created to PyPI (Python Package Index).

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

Based on questions from major game companies such as Nexon, NCSoft, Krafton, and Netmarble, this covers core C++ concepts and problem-solving skills that job seekers and career changers must know. Pass job tests and technical interviews all at once with actual exam questions from the past 10 years.

Analyze over 40 types of economic indicators and stock data with AI to create your own powerful stock price analysis model that predicts not only S&P 500 and QQQ ETF, but also individual stocks!

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.

AI does the coding, I get the results! Maximize practical programming skills, achievable even for beginners!

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

You can learn the basics of React. You can organize HTML, JavaScript, DOM, Event, Object, Module, OOP, etc. related to React.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

In this lesson, we will create a program that creates a logic that can generate profits, buys and sells Bitcoin through an exchange according to that logic, and receives the results of the transaction via Telegram.

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.