Edge Concept Synthesizer

by tradermontyeab8d5cb97b9No license2.9K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 days ago

Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.

Includes scriptsData & Analytics
AI-generated overview

Clusters detector ticket evidence into abstract edge concepts with theses, invalidation signals and export readiness.

What it does
This skill builds an abstraction layer between detection tickets and strategy implementation. It reads ticket YAML files, optionally matches hints, clusters recurring conditions, deduplicates overlapping concepts, and writes an edge_concepts.yaml file containing concept clusters, support statistics, abstract theses, invalidation signals and an export readiness flag. It ships a Python script plus tests and a concept schema reference.
When to use it
Use it when you have many raw detector tickets and need mechanism-level structure rather than direct ticket-to-strategy mapping. It fits concept-level review before strategy drafting, and when you want to reduce overfitting from individual tickets.
Requirements
Python 3.9 or later and PyYAML. It needs a ticket YAML directory from detector output, such as tickets/exportable or tickets/research_only, and optionally a hints.yaml file. It ships executable scripts, including a synthesis script and tests.

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

bash
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \  --tickets-dir /tmp/edge-auto/tickets \  --hints /tmp/edge-hints/hints.yaml \  --output /tmp/edge-concepts/edge_concepts.yaml \  --min-ticket-support 2
# With hint promotion and synthetic cappython3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \  --tickets-dir /tmp/edge-auto/tickets \  --hints /tmp/edge-hints/hints.yaml \  --output /tmp/edge-concepts/edge_concepts.yaml \  --promote-hints \  --max-synthetic-ratio 1.5
# With custom dedup threshold (or disable dedup)python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \  --tickets-dir /tmp/edge-auto/tickets \  --output /tmp/edge-concepts/edge_concepts.yaml \  --overlap-threshold 0.6
python3 skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py \  --tickets-dir /tmp/edge-auto/tickets \  --output /tmp/edge-concepts/edge_concepts.yaml \  --no-dedup

Resources

  • skills/edge-concept-synthesizer/scripts/synthesize_edge_concepts.py
  • references/concept_schema.md

Source and attribution

Source:tradermonty/claude-trading-skillsinskills/edge-concept-synthesizerat commiteab8d5c

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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