Individual skill
edge-signal-aggregator
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
skills/tradermonty__claude-trading-skills/skills/edge-signal-aggregator/SKILL.md
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- Repository last updated
- Nov 7, 2026
- License
- MIT
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- a-share Repository topic
- value-investing Repository topic
- agent-skills Repository topic
- akshare Repository topic
- awesome-list Repository topic
- chinese-stock Repository topic
- claude-code Repository topic
- quantitative-finance Repository topic
- stock-analysis Repository topic
- technical-analysis Repository topic
- engineering Derived category
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SKILL.mdcore · 7,219 bytesSKILL.mdcore · 7,219 bytesSKILL.mdcore · 7,219 bytesSKILL.mdcore · 7,219 bytesSKILL.mdcore · 7,219 bytesassets/default_weights.yamlasset · 1,210 bytesreferences/signal-weighting-framework.mddoc · 6,700 bytesscripts/aggregate_signals.pyruns · 43,283 bytesscripts/tests/conftest.pyruns · 276 bytesscripts/tests/test_aggregate_signals.pyruns · 27,845 bytes
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# Edge Signal Aggregator
## Overview
Combine outputs from multiple upstream edge-finding skills into a single weighted conviction dashboard. This skill applies configurable signal weights, deduplicates overlapping themes, flags contradictions between skills, and ranks composite edge ideas by aggregate confidence score. The result is a prioritized edge shortlist with provenance links to each contributing skill.
## When to Use
- After running multiple edge-finding skills and wanting a unified view
- When consolidating signals from edge-candidate-agent, theme-detector, sector-analyst, and institutional-flow-tracker
- Before making portfolio allocation decisions based on multiple signal sources
- To identify contradictions between different analysis approaches
- When prioritizing which edge ideas deserve deeper research
