Platform Features
Close the latency gap between when a market signal is spoken and when it becomes actionable.
How It Works
- Ingest public captions and transcripts using an API-first methodology wherever possible.
- Normalize disparate language, conversational tangents, financial tickers, entities, and timestamps.
- Analyze underlying sentiment, topic clustering, declarative claims, and predictions.
- Score speaker performance over time based on track record (precision, hit-rate, directional accuracy).
Analytic Dashboards
Sentiment Heatmap
Visually track bullish and bearish sentiment divergence mapped by specific financial ticker or market sector.
Narrative Shift Radar
Detect when new macroeconomic themes emerge and measure how quickly a story heats up or cools down across platforms.
Speaker Scorecards
Evaluate who is consistently right. Track historical claims, predictions, and directional accuracy by speaker over time.
Timeline View
Overlay processed narratives and sentiment shifts directly against historical price action for contextual research.
Frequently Asked Questions
Do you publish transcripts?
No. We publish analytics derived from commentary. Raw transcript text is processed transiently and minimized.
Do you give trade signals?
No. We provide education and research-grade analytics. Alerts and dashboards are strictly educational.
How do you score speakers?
We track claims, predictions, and directionality over time against observable outcomes using consistent, programmatic scoring rules.
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