Description
Algorithmic Trading Strategies In Python course. Welcome to the comprehensive course Algorithmic Trading Strategies in Python! Join me, Ziad, a seasoned algorithmic trader with over a decade of experience, as I guide you through the wonderful world of algorithmic trading. In this course, we cover the fundamentals of algorithmic trading, covering the basic concepts, trading mindset, and pros and cons of algorithmic trading. Gain an in-depth understanding of trading terminology, explore technical versus fundamental trading, and understand the fundamental trading strategies that form the foundation of algorithmic trading. Explore different types of algorithmic trading strategies, including mean reversion, momentum trading, and statistical arbitrage. Learn how to retrieve and analyze market data using Python, explore time frames, tick data, and use APIs to retrieve data. For effective technical indicator analysis, dive into implementing technical analysis with Python libraries such as TA-Lib and Pandas_TA. Explore advanced topics in statistical analysis and modeling, including time series analysis, statistical arbitrage, and factor models. Develop and optimize your trading strategies by understanding the key components that are critical to success. Test your strategies through backtesting, performance evaluation, and ensure robust results. Finally, master executing trades using Python and move seamlessly from backtesting to live trading. This course is designed to get straight to the point and focuses on numerical transaction systems in Python. While a Python background is assumed, if you need to brush up on your skills, I offer separate courses that cover Python basics, object-oriented programming, and in-depth tutorials on Numpy and Pandas. Whether you’re an experienced developer or just starting your programming journey, this course provides valuable insight, practical knowledge, and a clear roadmap to mastering algorithmic trading in Python. Take the next step in your business journey and register now!
What you will learn in Algorithmic Trading Strategies In Python course
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Understand the main components of a trading strategy
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Designing a targeted trading system
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Implementation and backtesting of a trading system in Python
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Algorithmic trading strategies code in Python
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Test and evaluate an automated trading system
- Fundamentals of algorithmic trading
- Trading mindset and emotions
- Technical and fundamental trading
- Mean reversion, momentum, statistical arbitrage strategies
- Data retrieval and exploratory analysis in Python
- Technical markers with TA-Lib and Pandas_TA
- Statistical analysis and modeling
- Strategy development and optimization
- Backtesting to evaluate performance
- Run and trade live with Python
This course is suitable for people who
- Beginner and intermediate Python traders and developers
- Enthusiasts who want to explore the field of financial programming and algorithmic trading
Course specifications Algorithmic Trading Strategies In Python
- Publisher: Udemy
- teacher: Dr. Ziad Francis
- Training level: beginner to advanced
- Training duration: 6 hours and 45 minutes
- Number of courses: 66
Course topics Algorithmic Trading Strategies In Python
Algorithmic Trading Strategies In Python course prerequisites
- Python basics familiarity, Pandas and Numpy, basic understanding of Object Oriented Programming in Python
- Trading familiarity and simple strategies
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
3.85 GB
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