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Automated Trading Python Basics

This course proceeds with Python theory and practical sessions that even non-majors can easily understand. This is the first step in the overall roadmap built for application development - the Python programming introduction course. [Complete-Roadmap] Python Basics->Advanced Python->Automated Trading-Backtest Development->Automated Trading-Real-time Development->Automated Trading-LLM Application

5 learners are taking this course

  • contributoredu
Python
Anaconda
pycharm
colab

What you will gain after the course

  • python theory and Python programming

  • How to Use Colab Development Environment

  • How to use PyCharm development environment integrated with Anaconda virtual environment

Even non-majors/beginners can create an automated trading system!

This roadmap is structured from Python basics to building Python application programs.

  1. [Python Basics]

  2. [Python Advanced]

  3. [Automated Trading Backtest Strategy Implementation]

  4. [Automated Trading Real-time Program Development and Deployment]

  5. [Using LLM for Automated Trading]

We recommend this for:

Beginners who want to learn Python

The curriculum is designed to be easily understood by non-majors and beginners alike

For those who want to learn from development to deployment

Python application development and deployment to the cloud hands-on practice

Those who want to develop automated trading strategies

Office workers who want to earn additional income through automated trading

The characteristics of this course

Academic-style theoretical education and practice, along with programming skill development through assignments

Key Strength of This Course (1)

Theory classes are conducted with note-taking together. This makes the lessons more memorable and helps maintain better concentration!

Key Strengths of This Course (2)

You can grasp how things work through hands-on practice right after theory lessons. Through assignments and real-time code reviews, you can indirectly experience actual development.

The person who created this course

  • 15-year experienced developer, Master's degree in Artificial Intelligence

  • Registering an online course was one of my bucket list items. I want to share my knowledge with students.

  • Every office worker's dream, I'm achieving the dream of additional income through Python automated trading system development. I'm sharing my know-how with you all.

In addition to the lectures, we also provide methods for questions and communication.

You can send questions about the class, inquiries about coding errors, or even casual concerns to the email below.

• Email (Gmail): contributoredu@gmail.com

Pre-Course Information

Practice Environment

  • Operating System and Version (OS): Windows

  • Tools Used: Google Colab (Jupyter notebook), PyCharm (Integrated Development Environment), Anaconda Virtual Environment

  • PC Specifications: Memory 8GB or higher, CPU Intel 3rd generation or higher, Disk 100GB or higher

Learning Materials

Prerequisites

  • Even IT non-majors and beginners can easily follow along as the course is designed to be accessible.

  • If you have any questions while studying on your own, please send them to the email above and I will respond as quickly as possible.

Recommended for
these people

Who is this course right for?

  • python beginners (including non-majors and novices)

  • For those who want a roadmap that connects to the process of developing and deploying Python applications

Hello
This is

Curriculum

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19 lectures ∙ (10hr 37min)

Course Materials:

Lecture resources
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$24,750.00

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