← Killfeed Lab·Information Inspection
Lab Experiment
Work In ProgressInvestment signal inspection
This experiment identifies investment-relevant signals from internet articles and web pages, structuring them into a consistent set of fields including signal type, impact direction, scope, time horizon, and confidence.
Each article is evaluated to determine whether it contains a meaningful investment signal. This includes information that could affect outlook, risk, operations, or market perception. When present, a single primary signal is extracted and classified using a standardized taxonomy, with confidence reflecting how clearly the signal is supported by the text.
These signals are designed for triage, not prediction. They do not measure magnitude, pricing, or market impact, and should be interpreted alongside the same Reliability diagnostics used in Information Inspection.
Use filters to slice the feed by signal type, direction, scope, time horizon, and confidence, and identify patterns across different categories. Emerging Signals uses the same KB tag pool as Information Inspection so you can cross-cut the investment-signal feed with familiar topics.
This is a diagnostic workspace for signal intake and research prioritization, not investment advice.
Recent investment signals
Reliability band
Limit the feed and metrics to a score tier.
Signal type
Primary investment-relevant category from the scan.
Impact direction
Model-assigned outlook tilt for the signal.
Impact scope
Whether the signal is company-specific or broader.
Time horizon
Stated or implied timing for the signal.
Minimum confidence
Filter to rows at or above this stored confidence score (0–100).
Source Domain
Narrow the feed to one publisher. Open the menu and type to filter domains; matches any substring in the name.