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IhsanDanish25
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edge-signal-aggregator

Aggregate trading signals from edge-finding skills with weighted scoring and deduplication.

2|Updated Jun 14, 2026
Search Tags:#dashboard#data analysis#trading#weighted scoring#signal aggregation
One-click install
npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill edge-signal-aggregator-ihsandanish25
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-signal-aggregator
Source: https://github.com/IhsanDanish25/claude-trading-skills/tree/main/skills/edge-signal-aggregator
Command: npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill edge-signal-aggregator-ihsandanish25

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a unified view of signals from various edge-finding skills, helping users to prioritize and act on them efficiently.

Core Features & Use Cases

  • Signal Aggregation: Combines signals from multiple edge-finding skills.
  • Weighted Scoring: Applies configurable weights to each signal for prioritization.
  • Deduplication: Eliminates overlapping themes and flags contradictions.
  • Use Case: Imagine you have multiple edge-finding skills providing signals. Use this Skill to aggregate these signals into a single dashboard, prioritize them by confidence score, and make informed trading decisions.

Quick Start

Run the 'aggregate_signals.py' script with the appropriate arguments to aggregate signals and generate a report.

Frequently Asked Questions about edge-signal-aggregator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate trading signals from multiple sources into a single dashboard?▼

Aggregating trading signals from multiple sources into a single dashboard is done by running the aggregate_signals.py script, which combines edge-finding outputs, applies weighted scoring, and generates a consolidated report for prioritized decision-making.

What is weighted scoring in signal aggregation and how does it prioritize trades?▼

Weighted scoring in signal aggregation applies configurable weights to individual trading signals. This mechanism calculates a confidence score for each signal, allowing traders to prioritize trades based on the aggregated data within the unified dashboard.

How do I deduplicate overlapping trading signals and identify contradictions?▼

Deduplicating overlapping trading signals and identifying contradictions is handled automatically during the signal aggregation process, eliminating redundant themes and flagging conflicting data points to ensure a clean, unified dashboard.

Can I consolidate multiple edge-finding skill outputs using Python and pyyaml?▼

Yes, you can consolidate multiple edge-finding skill outputs using Python with pyyaml installed. The environment processes the aggregated signals and applies configurable weights to generate a prioritized trading report.

What's the best way to manage conflicting trading signals from different edge-finding skills?▼

The best way to manage conflicting trading signals from different edge-finding skills is using an aggregation script that automatically flags contradictions and deduplicates overlapping themes, providing a unified view for informed trading decisions.

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