edge-candidate-agent

Automate daily OHLCV observations into edge research tickets and Phase I strategy specs.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/Dorpeer95/stocks-trading --skill edge-candidate-agent-dorpeer95
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-candidate-agent
Source: https://github.com/Dorpeer95/stocks-trading/tree/main/.claude/skills/edge-candidate-agent
Command: npx skills add https://github.com/Dorpeer95/stocks-trading --skill edge-candidate-agent-dorpeer95

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates turning daily market observations into reproducible edge research tickets and Phase I-compatible strategy specs.

Core Features & Use Cases

  • Auto-detect edge candidates from EOD OHLCV and hints
  • Export artifacts as strategy.yaml + metadata.json for trade-strategy-pipeline Phase I
  • Validate interface compatibility against edge-finder-candidate/v1

Quick Start

Run the edge-candidate-agent to auto-detect candidates and export Phase I artifacts for a sample set.

Frequently Asked Questions about edge-candidate-agent

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

FAQPage Schema
How do I automate converting daily OHLCV market data into reproducible edge research tickets?▼

You can automate turning daily OHLCV observations into edge research tickets by running an agent that auto-detects candidates from EOD data and applies hints to generate reproducible strategy specs. This enforces Phase I constraints during detection to ensure validity.

What is the best way to validate edge-finder-candidate compatibility for a trading strategy pipeline?▼

The best way to validate edge-finder-candidate compatibility is to run interface validation against the edge-finder-candidate/v1 specification. This checks your strategy artifacts and confirms they meet the required Phase I constraints before pipeline execution.

How do I export strategy artifacts to match the trade-strategy-pipeline Phase I format?▼

To export Phase I artifacts, the agent generates strategy.yaml and metadata.json files from detected edge candidates. These files are exported directly to the strategies/<candidate_id> directory, ensuring format compatibility with downstream trade-strategy-pipeline phases.

Do I need pyyaml to generate Phase I-compatible strategy specifications from market signals?▼

Yes, you need pyyaml installed because the agent exports strategy specifications in YAML format. The dependency ensures proper serialization of the strategy.yaml artifacts required for Phase I trade-strategy-pipeline compatibility.

Can I use daily EOD OHLCV data and hints to auto-detect edge candidates for quantitative research?▼

Yes, you can input daily EOD OHLCV data alongside market hints to auto-detect edge candidates. The agent processes these observations to identify potential trading edges and converts them into structured research tickets for quantitative analysis.

What are the limitations when enforcing Phase I constraints on edge candidate detection?▼

Phase I constraints limit edge candidate detection to specific interface compatibility rules defined by edge-finder-candidate/v1. The validation process ensures exported artifacts meet these strict structural requirements, rejecting any candidates that fail interface or constraint checks.