Algorithmic Trading with Python Complete Course

Most Comprehensive Algorithmic Trading Course
4.22 (25 reviews)
Udemy
platform
English
language
Investing & Trading
category
instructor
Algorithmic Trading with Python Complete Course
212
students
11 hours
content
Sep 2024
last update
$29.99
regular price

Why take this course?

🎉 Course Title: Algorithmic Trading with Python Complete Course


🎓 Course Headline: Most Comprehensive Algorithmic Trading Course - Master Python & Algorithmic Strategies!


Course Description:

Welcome to our most comprehensive course, "Algorithmic Trading using Python," where you will embark on a transformative journey into the world of algorithmic trading. This course is designed to provide you with a solid foundation in both Python programming and algorithmic trading strategies, catering to beginners and experienced developers alike.

🚀 What You'll Learn:

  • Python OOP: Gain essential skills for algorithmic trading by mastering Python's Object-Oriented Programming.
  • Data Analysis with Pandas: Manipulate financial data with precision using Pandas, Numpy, and Matplotlib.
  • Numerical Computations & Data Visualization: Become proficient in performing numerical computations and creating compelling data visualizations.
  • Finance & Investment Concepts: Understand the market dynamics through a comprehensive exploration of finance and investment concepts.
  • Broker API Integration: Learn to communicate with broker APIs, including Zerodha Kite Connect API, using Python code.
  • Live Tick Data Streaming: Gain expertise in streaming live tick data and efficiently downloading and cleaning historical financial data.
  • Order Management: Get hands-on experience with placing, modifying, and canceling orders, as well as implementing trail stop loss orders.
  • MySQL Database Utilization: Learn to save and access data using MySQL databases.
  • Data Import/Export: Import and export data using static files.
  • Technical Indicators: Develop key technical indicators like Moving Averages, Bollinger Bands, ATR, Relative Strength, MACD, Supertrend, and Renko using Python.
  • Deployment & Automation: Deploy your trading bot on a Virtual Private Server (VPS) and develop a fully automatic trading bot accessible through a web page.
  • Real-World Application: Apply all the concepts learned by working with real code examples provided in Jupyter notebooks.

🛠️ Hands-On Learning: This course offers all the working code Jupyter notebooks in the resources section, ensuring you have practical tools to apply what you learn. Whether you're a novice seeking a comprehensive introduction or an experienced developer aiming to enhance your algorithmic trading prowess, this course provides the knowledge and hands-on experience needed to succeed in the dynamic world of algorithmic trading using Python.

🎉 Join the Community: Unlock the potential of algorithmic trading in the financial markets by joining us on this exciting journey. With a focus on practical application and real-world scenarios, you'll be equipped with the skills to navigate and thrive in the world of algorithmic trading.

Enroll now and transform your understanding of algorithmic trading with Python! 🚀💻📈

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5625214
udemy ID
24/10/2023
course created date
13/12/2023
course indexed date
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