Quantitative Trading Analysis with Python
Learn quantitative trading analysis from basic to expert level through practical course with Python programming language
What You'll Learn in This Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learning Outcome 1
Read or download S&P 500® Index ETF prices data and perform quantitative trading analysis operations by installing related packages and running code on Python PyCharm IDE.
Learning Outcome 2
Implement trading strategies based on their category and frequency by defining indicators, identifying signals they generate and outlining rules that accompany them.
Learning Outcome 3
Explore strategy categories through trend-following indicators such as simple moving averages, moving averages convergence-divergence and mean-reversion indicators such as Bollinger bands®, relative strength index, statistical arbitrage through z-score.
Learning Outcome 4
Evaluate simulated strategy historical risk adjusted performance through trading statistics and performance metrics.
Learning Outcome 5
Calculate main trading statistics such as net trading profit and loss, maximum drawdown and equity curve.
Skills You'll Develop
This comprehensive Quantitative Trading Analysis with Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Course Requirements & Target Audience
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Quantitative Trading Analysis with Python course:
- Python programming language is required. Downloading instructions included.
- Python Distribution (PD) and Integrated Development Environment (IDE) are recommended. Downloading instructions included.
- Practical example data and Python code files provided with the course.
- Prior basic Python programming language knowledge is useful but not required.
This course is perfect for:
- Motivated learners at any level
- Self-paced students
- Anyone interested in the subject
This course might not be suitable if:
- • You're looking for a quick tutorial rather than comprehensive learning
- • You prefer learning without structured curriculum
- • You need highly specialized or niche content
Course Information & Details
Everything you need to know about this online course, from duration to certification
Course Instructor
Diego Fernandez
Expert instructor with industry experience
Course Language
English
All materials in English
Start Your Learning Journey Today
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
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What's Included
- 7.5 hours on-demand video
- 18 downloadable resources
- 7 articles
- Access on mobile and TV
- Certificate of Completion
- Full lifetime access
- ✓Instant access after enrollment
- ✓Learn at your own pace
- ✓Direct enrollment with Udemy
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