A market moves on stories before it moves on numbers — so watch the stories form.
Financial news arrives as an unrelenting stream. Buried in it are topics that swell, peak, and fade — a regulatory rumor, a product launch, a crisis. FinanViz mines that stream for emerging themes and lays them out as flowing bands of attention over time.
From text to topics
Behind the visualization sits a text-mining pipeline that clusters incoming articles into coherent topics and tracks each cluster’s strength over successive windows. The visual layer’s job is to make the dynamics legible — not just “what topics exist” but “which ones are accelerating right now.”
Who it is for
- →Analysts scanning for narratives before they hit the price.
- →Researchers studying how financial attention concentrates and disperses.
- →Anyone drowning in a feed who needs the shape, not every headline.
FinanViz was presented at IEEE Big Data 2018, part of an early move from pure signal processing toward large-scale, text-driven visual analytics.
