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Edge Concept Synthesizer

This sits between raw detection output and strategy implementation, clustering ticket evidence into reusable edge concepts with explicit thesis statements and invalidation signals. You point it at a directory of ticket YAMLs from your detector run, and it outputs a structured edge_concepts.yaml with support statistics, abstract hypotheses, and export readiness flags. The deduplication logic merges overlapping concepts based on containment thresholds, which helps avoid the ticket-to-strategy overfitting problem when you're dealing with dozens of similar signals. It's concept-level review before you commit to writing actual strategies. The hint promotion feature is clever for bootstrapping when ticket support is thin, though the synthetic ratio cap keeps you honest about what's actually validated.

skills.sh installs
3.5K
GitHub stars
3.7K
last updated
Aug 21, 2026

Install

$ npx -y skills add tradermonty/claude-trading-skills --skill edge-concept-synthesizer --agent claude-code

Installs into .claude/skills of the current project.

Files

Edge Concept Synthesizer

Overview

Create an abstraction layer between detection and strategy implementation. This skill clusters ticket evidence, summarizes recurring conditions, and outputs edge_concepts.yaml with explicit thesis and invalidation logic.

When to Use

  • You have many raw tickets and need mechanism-level structure.
  • You want to avoid direct ticket-to-strategy overfitting.
  • You need concept-level review before strategy drafting.

Prerequisites

  • Python 3.9+
  • PyYAML
  • Ticket YAML directory from detector output (tickets/exportable, tickets/research_only)
  • Optional hints.yaml

Output

  • edge_concepts.yaml containing:
    • concept clusters
    • support statistics
    • abstract thesis
    • invalidation signals
    • export readiness flag

Workflow

  1. Collect ticket YAML files from auto-detection output.
  2. Optionally provide hints.yaml for context matching.
  3. Run scripts/synthesize_edge_concepts.py.
  4. Deduplicate concepts: merge same-hypothesis concepts with overlapping conditions (containment > threshold).
  5. Review concepts and promote only high-support concepts into strategy drafting.

Quick Commands

Sponsors

Details

Repository
github.com/tradermonty/claude-trading-skills
Categories
Backend & APIs, Design & UI/UX, Finance & Trading
First seen
Jun 3, 2026

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