skills.rest
darkounus90
darkounus90COMMUNITY
Explore all skills by this author →
GitHub

edge-concept-synthesizer

Detect and abstract trade ticket data into reusable edge concepts.

1|Updated Feb 18, 2026
Search Tags:#trading#strategy synthesis#edge concepts#trade ticket analysis#automated abstraction
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-concept-synthesizer-darkounus90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-concept-synthesizer
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/edge-concept-synthesizer
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-concept-synthesizer-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the detection and abstraction of trade tickets into reusable edge concepts, enabling efficient strategy design and validation.

Core Features & Use Cases

  • Edge Concept Detection: Identifies and clusters trade ticket evidence into edge concepts with explicit thesis and invalidation logic.
  • Synthetic Ticket Promotion: Enhances concept formation by promoting hints to synthetic tickets.
  • Use Case: Utilize this Skill to quickly synthesize complex trading strategies by abstracting ticket data into actionable concepts.

Quick Start

Run the edge-concept-synthesizer skill with the tickets directory and optional hints file to synthesize edge concepts and generate the edge_concepts.yaml file.

Frequently Asked Questions about edge-concept-synthesizer

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

FAQPage Schema
How do I extract edge concepts from trade tickets for strategy synthesis?▼

Trade ticket abstraction into edge concepts is automated by analyzing ticket evidence, clustering it into concepts with explicit thesis and invalidation logic, and outputting a reusable YAML file for strategy development.

What is the best way to deduplicate overlapping trading edge concepts?▼

Deduplication of overlapping edge concepts is handled automatically during ticket analysis, ensuring that synthesized trading strategies retain only distinct, actionable edges without redundant logic.

Can I generate synthetic trade tickets from trading strategy hints?▼

Synthetic ticket promotion allows hints provided in an optional YAML file to be promoted into synthetic tickets, enhancing edge concept formation and expanding the dataset for strategy validation.

Do I need Python and PyYAML to automate trade ticket analysis?▼

Python 3.9+ and the PyYAML library are required to run the abstraction scripts, parse external ticket YAML files, and generate the final edge concepts configuration output.

How do I configure external ticket YAML files for edge concept detection?▼

External ticket YAML files are processed by placing them in a designated tickets directory and running the synthesizer with an optional hints file to generate the edge_concepts.yaml output.

Related Skills

Explore More Finance & Accounting Skills→
IhsanDanish25IhsanDanish25
2

edge-concept-synthesizer

Extract edge concepts from ticket YAML files into structured YAML outputs.

Community
Advanced
Claude-Code-Community-IrelandClaude-Code-Community-Ireland
10

backtesting-frameworks

Build backtesting systems for trading strategies with bias and cost handling.

Official
Advanced
K-Dense-AIK-Dense-AI
33.0k

aeon

Automate time series modeling workflows with a scikit-learn compatible toolkit.

Official
Advanced
winstonkoh87winstonkoh87
558

trade-journal-analyzer

Extract pattern signals and classify drawdowns from trading journal entries.

Community
Intermediate