Python Algorithmic Trading Part 3: Cloud Trading Automation

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.

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

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

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 systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

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.

Create your own revenue model with programming.

You will learn how to configure CI based on GitHub Actions and what content should be included in CI, and you can learn about verification through the SLSA Framework, which was a topic of discussion in Google DevOps Report 2022.

In this course, you will acquire basic knowledge about Azure virtual machines and learn how to design and manage virtual machines according to workload.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

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.

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!

It contains only the most essential content, focusing on the most frequently used phrases when doing web crawling in the field. Once you learn it, you can use it in many different ways.

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.

Prepare perfectly for the Programmers Coding Essential Competency Certification (PCCE), from Python basics to competency certification!

"Automating your work? Who doesn't know what's good for them?" You don't need to use a knife to catch a chicken. I want to show you that 10 lines of simple code are more practical than complex crawlers on the Internet.

You've all had the painful experience of managing requirements.txt, right? 😅 Now solve dependency issues cleanly with the latest Poetry 2.x. This course proceeds by building a FastAPI practical project from start to finish. It covers the real-world workflow including development environment, CI/CD, and Docker deployment. Reduce environment setup worries and build professional Python development skills! 👍

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

You will thoroughly understand the principles!

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.

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