Learn pairs trading analysis from basic to expert level through a practical course with Python programming language.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Read or download MSCI® Countries Indexes ETF prices data and perform pairs trading analysis operations by installing related packages and running code on Python IDE.
Identify pairs of international countries stock indexes prices with similar behavior based on fundamental factors of countries with comparable economies which have relevant commodities sector and countries from specific region.
Test pairs short term statistical relationship through their price returns correlation coefficient.
Assess single pairs spread co-integration or long term statistical relationship through Engle-Granger test.
Evaluate if paired assets prices spread is stationary after testing individual price time series are non-stationary and individual price time series differences are stationary through augmented Dickey-Fuller and Phillips-Perron tests.
This comprehensive Pairs 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.
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Course Instructor
Diego Fernandez
Expert instructor with industry experience
Course Language
English
All materials in English
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.
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