Problem with Modern ApproachesModern methods for trading baskets of assets often rely on simple rules: go long the N best‑performing instruments, short the N worst‑performing ones (or vice versa), or just split capital equally among several currency pairs, stocks, or ETFs. At first glance, this seems to work—you diversify risk and don’t keep all your…
Introduction The Principal Component Analysis (PCA) method was originally developed for processing multidimensional data. In financial markets, it helps to uncover hidden factors that influence the movement of diverse assets and assess their interrelationships. Within the context of trading strategy development, PCA transforms sets of covariant signals—such as logarithmic returns—into a few independent (orthogonal) components…
How to Properly Specify the Order of Asset Symbols When Using the PCA Method Implemented in the PCA Arbitrage 3X EA Expert Advisor The Principal Component Analysis (PCA) method has long been recognized as a powerful tool for constructing market-neutral hedging strategies. It enables the analysis of the covariance structure of assets, isolates their contributions…