Algorithmic Trading Strategies In Python
What you'll learn
- Understand the main essential components of a trading strategy
- Design a targeted trading system
- Implement and backtest a trading system in Python
- Code algorithmic trading strategies in Python
- Backtest and evaluate an automated trading system
Requirements
- Python basics familiarity, Pandas and Numpy, basic understanding of Object Oriented Programming in Python
- Trading familiarity and simple strategies
Description
Welcome to the comprehensive course on Algorithmic Trading Strategies in Python! Join me, Ziad, a seasoned algorithmic trader with over a decade of experience, as I guide you through the fascinating world of algorithmic trading.
In this course, we delve into the fundamentals of algorithmic trading, covering essential concepts, trading mindsets, and the pros and cons of algorithmic trading. Gain a deep understanding of trading terminology, explore technical versus fundamental trading, and grasp basic trading strategies that form the foundation of algorithmic trading.
Discover various types of algorithmic trading strategies, including Mean Reversion, Momentum Trading, and Statistical Arbitrage. Learn how to retrieve and analyze market data using Python, exploring timeframes, ticks data, and utilizing APIs for data retrieval. Dive into the implementation of technical analysis with Python libraries such as TA-Lib and Pandas_TA for effective technical indicators analysis.
Explore advanced topics in statistical analysis and modeling, including Time Series Analysis, Statistical Arbitrage, and Factor Models. Develop and optimize your trading strategies, understanding the main components critical for success. Put your strategies to the test through backtesting, evaluating performance, and ensuring robust results.
Finally, master the execution of trades using Python, transitioning seamlessly from backtesting to live trading. This course is designed to be straight to the point, focusing on numerical trading systems in Python. While some Python background is assumed, if you need to strengthen your skills, I offer separate courses covering Python basics, object-oriented programming, and in-depth training on Numpy and Pandas.
Whether you're a seasoned developer or just starting your coding journey, this course provides valuable insights, practical knowledge, and a clear roadmap to mastering algorithmic trading in Python. Take the next step in your trading journey and enroll now!
Key Topics:
Algorithmic Trading Basics
Trading Mindset and Emotions
Technical and Fundamental Trading
Mean Reversion, Momentum, Statistical Arbitrage Strategies
Data Retrieval and Exploratory Analysis in Python
Technical Indicators with TA-Lib and Pandas_TA
Statistical Analysis and Modeling
Strategy Development and Optimization
Backtesting for Performance Evaluation
Execution and Live Trading with Python
Unlock the power of algorithmic trading today! Enroll and transform your trading strategies with Python expertise.
Who this course is for:
- Traders, and beginner and intermediate Python developers
- Enthusiasts willing to explore the field of financial programming and algorithmic trading
Instructor
- 4.5 Instructor Rating
- 1,150 Reviews
- 6,066 Students
- 6 Courses
PhD, Qualified and experienced educator and researcher in the field of data science. I am here to share my background and expertise in numerical disciplines. I have a proven track record of publishing academic research and shaped my teaching skills through previous instructional roles.
You will notice my courses come in a condensed format avoiding waste of energy and time, I strongly believe that most of the principles can be acquired in few minutes if taught the proper way and there is no need for lengthy explanations which sometimes lead to boredom and students dropping the course! I hope you will benefit from my teaching style and that you will also enjoy your learning adventure. Good luck!