Algorithmic Trading Strategies In Python

Master Algorithmic Trading: Unlock Profitable Strategies And Backtesting Using Python
4.58 (775 reviews)
Udemy
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English
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Algorithmic Trading Strategies In Python
4 912
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7 hours
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Feb 2025
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$84.99
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Why take this course?

🌟 Course Title: Algorithmic Trading Strategies In Python

🎓 Course Headline: Master Algorithmic Trading: Unlock Profitable Strategies And Backtesting Using Python


Introduction: Welcome to the comprehensive course on Algorithmic Trading Strategies in Python! 🚀 I'm Ziad Francis, your course instructor and a seasoned algorithmic trader with over a decade of experience. In this transformative journey, we will explore the intricate world of algorithmic trading and equip you with the knowledge to create, test, and deploy profitable trading strategies using Python.


What You'll Learn: 📚 Algorithmic Trading Fundamentals: We'll cover essential concepts, trading mindsets, and a detailed analysis of the pros and cons of algorithmic trading. You'll gain a solid understanding of trading terminology and learn about technical versus fundamental trading strategies.

🔍 Algorithmic Trading Strategies: Dive into various types of algorithmic trading strategies such as Mean Reversion, Momentum Trading, and Statistical Arbitrage. You'll learn how to retrieve and analyze market data with Python, focusing on timeframes, ticks data, and leveraging APIs for efficient data retrieval.

📊 Technical Analysis & Python Libraries: Implement technical analysis using Python libraries like TA-Lib and Pandas_TA. You'll become proficient in applying technical indicators to your trading strategies for more informed decision-making.

🚀 Advanced Statistical Analysis & Modeling: Delve into advanced topics including Time Series Analysis, Statistical Arbitrage, and Factor Models. Develop and optimize your trading strategies by understanding the key components necessary for success.

🕰️ Backtesting & Strategy Testing: Put your strategies to the test through rigorous backtesting procedures. Evaluate their performance and ensure robust results before transitioning to live trading.

💻 Execution of Trades with Python: Master the execution process from backtesting to live trading, using Python as your tool for seamless trade execution.


Why This Course? This course is designed to be straight to the point, focusing on numerical trading systems in Python. A basic understanding of Python is recommended, but if you're starting from scratch or need to improve your skills, I offer separate courses that cover Python fundamentals, object-oriented programming, and an in-depth training on Numpy and Pandas.


Who Is This Course For? Whether you're a seasoned developer looking to expand your expertise into algorithmic trading, or someone just starting their coding journey, this course is tailored to provide valuable insights and practical knowledge. It also serves as a clear roadmap to mastering algorithmic trading in Python.


Key Topics:

  • 📈 Algorithmic Trading Basics: An overview of the trading process and how algorithmic trading fits into today's financial markets.
  • 🧠 Trading Mindset and Emotions: Understanding the psychological aspects of trading and how to stay rational with your algorithmic decisions.
  • 📉/Technical and Fundamental Trading: A detailed look at both technical analysis and fundamental trading principles, and how they can be automated.
  • 🔄 Mean Reversion, Momentum, Statistical Arbitrage Strategies: Practical examples and implementations of popular trading strategies.
  • 📊 Data Retrieval and Exploratory Analysis in Python: Techniques for gathering and analyzing market data with Python to inform your trading algorithms.
  • 📈 Technical Indicators with TA-Lib and Pandas_TA: A hands-on guide to applying powerful technical indicators to your trading strategies.
  • 📊 Statistical Analysis and Modeling: Time Series Analysis, Statistical Arbitrage, and Factor Models explained with practical examples.
  • 🚀 Strategy Development and Optimization: The process of developing a robust strategy using Python's powerful libraries and frameworks.
  • 🔄 Backtesting for Performance Evaluation: Learn how to effectively backtest your strategies and interpret the results.
  • 🚀 Execution and Live Trading with Python: The final step in the algorithmic trading process, where you apply your backtests to real-time market conditions.

Unlock Your Potential: Embark on your journey to master algorithmic trading with Python today! With this course, you'll be equipped with the tools and knowledge to create effective trading strategies and execute them successfully in the markets. Enroll now and transform your approach to trading! 🌟

Enroll in "Algorithmic Trading Strategies In Python" today and take your first step towards becoming a proficient algorithmic trader!

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5267590
udemy ID
11/04/2023
course created date
19/12/2023
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