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Algorithmic Trading With Python

Algorithmic Trading With Python

$9.99

$69.99

Algorithmic Trading With Python is a comprehensive course that introduces students to the world of algorithmic trading using the Python programming language. Students will learn how to design, implement, and test trading strategies using Python libraries such as Numpy, Pandas, and Matplotlib. The course covers key concepts in algorithmic trading, including statistical analysis, backtesting, and risk management. By the end of the course, students will have the skills and knowledge to develop and execute their own algorithmic trading strategies and automate trading processes using Python. Whether you are a beginner or an experienced trader, this course will provide you with the tools to thrive in the world of algorithmic trading.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Thu Aug 2024
Level
Beginner
Total lectures 75
Total quizzes 0
Total duration 20:41:05 Hours
Total enrolment 0
Number of reviews 0
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Short description Algorithmic Trading With Python is a comprehensive course that introduces students to the world of algorithmic trading using the Python programming language. Students will learn how to design, implement, and test trading strategies using Python libraries such as Numpy, Pandas, and Matplotlib. The course covers key concepts in algorithmic trading, including statistical analysis, backtesting, and risk management. By the end of the course, students will have the skills and knowledge to develop and execute their own algorithmic trading strategies and automate trading processes using Python. Whether you are a beginner or an experienced trader, this course will provide you with the tools to thrive in the world of algorithmic trading.
Outcomes
  • Design and implement algorithmic trading strategies using Python
  • Utilize Python libraries for data analysis and machine learning in the context of trading
  • Backtest and optimize trading strategies using historical market data
  • Understand the key considerations and best practices for deploying algorithmic trading systems
Requirements