📰 News Velocity GDELT 2.0 · 30D ROLLING

Methodology · GDELT News Velocity

GDELT 2.0 (Global Database of Events, Language & Tone) indexes ~100,000 news sources worldwide and computes per-keyword article volume in near real-time. Unlike Google Trends (which mixes random consumer searches), GDELT is filtered to news media — perfect for catching institutional attention surges.

Velocity (z-score): z = (today_volume − 30d_mean) / 30d_stdev. The textbook attention-shift signal.

Velocity Flags: SURGE (z ≥ +2σ) · ELEVATED (z ≥ +1σ) · NORMAL · SUBDUED (z ≤ -1σ).

Composite Regimes: ATTENTION_SURGE (2+ tickers above 2σ — likely market-wide vol event) · ATTENTION_CONCENTRATED (single name dominating) · ATTENTION_BROADENING (3+ above 1σ — sector or theme moving) · ATTENTION_NORMAL.

Source: api.gdeltproject.org/api/v2/doc/doc?mode=TimelineVolInfo×pan=30d · refresh hourly.