Volume-Sentiment Quadrant Analysis: A Framework for Asset Classification
A systematic taxonomy for equity market behavior based on information dynamics
In markets characterized by high asset breadth (>3,000 publicly traded equities), distinguishing actionable signals from stochastic noise presents a significant computational challenge. This paper introduces a two-dimensional classification framework that isolates information diffusion velocity (sentiment) from market attention intensity (article volume).
