edge-signal-aggregator

Aggregate trading signals into a ranked dashboard by processing local JSON and YAML reports from upstream analysis tools. The tool applies configurable weights and deduplication thresholds to output a prioritized shortlist of high-conviction ideas with provenance logs.

Contradiction detection works by flagging opposing directional signals across multiple upstream reports during aggregation. It surfaces these conflicts with resolution hints for manual review, ensuring analysts can reconcile conflicting trading ideas before finalizing the conviction dashboard.

You can apply custom weighting to prioritize specific signals by supplying a configurable weight file. The aggregator uses these weights to combine raw scores from various edge-finding skills into a composite conviction metric for the final ranked dashboard.

Signal provenance tracks the originating source of each trading idea. During deduplication, the aggregator merges overlapping themes while preserving links to all contributing upstream signals, ensuring auditability and traceability within the final Markdown and JSON reports.

The signal aggregator accepts both local JSON and YAML report formats as input. It parses these upstream edge-finding outputs to deduplicate overlapping themes, detect contradictions, and generate ranked conviction reports in both JSON and Markdown formats.

The best way to manage overlapping themes is to use configurable deduplication thresholds during signal aggregation. This merges duplicate trading ideas while preserving provenance links to all contributing sources, creating a clean and actionable conviction shortlist.