Point-in-time, manipulation-aware thematic observation feed for quantitative research.
A point-in-time thematic observation feed derived from international news. Each article generates bullish, bearish, or neutral observations across an 18-theme economic vocabulary, with article-level manipulation scoring and narrative-framing detection. The feed is instrument-agnostic. Clients join the theme series to any instruments, sectors, portfolios, or risk models they choose.
Per-theme stance (18-theme vocabulary) plus article-level manipulation score. Instrument-agnostic.
Theme-state time series with sentiment, manipulation density, and narrative composites.
Live, git-chained, three-tier (T+0 / T+5 / T+15) hourly snapshots with reference-instrument anchoring.
A static buyer-trial sample package and methodology note are available on request. The trial covers a five-day window with full-stack coverage on seven walk-forward themes, validated statistical examples for two depth-showcase pairs (defense / ES.c.0 and oil_gas / CL.c.0), and complete documentation including field lineage, point-in-time discipline, and a backtest recipe.
Production delivery, expanded coverage, and custom instrument anchoring are scoped per pilot. NDA optional for trial.
Quantitative research and risk teams welcome. Buyer feedback shapes the roadmap.