Strategy Searcher

Collect trading strategy ideas from external sources into output/ideas.jsonl.

13|6|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/lauragp28/generador-trading-claude-code --skill strategy-searcher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Strategy Searcher
Source: https://github.com/lauragp28/generador-trading-claude-code/tree/main/skills/strategy-searcher
Command: npx skills add https://github.com/lauragp28/generador-trading-claude-code --skill strategy-searcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the discovery of algorithmic trading strategy ideas from external sources, coordinating parallel subagents to explore multiple feeds and surface actionable directives for a strategy-conceptualizer.

Core Features & Use Cases

  • Incremental, autonomous search across diverse sources with parallel subagents.
  • Outputs ideas to output/ideas.jsonl for ingestion by the strategy-conceptualizer.
  • Integrates with Agent Teams orchestration, including needs.md guidance, query management, and session logs.

Quick Start

Run Strategy Searcher to seed ideas by querying multiple sources and saving results to output/ideas.jsonl.

Frequently Asked Questions about Strategy Searcher

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

FAQPage Schema
How do I automate finding algorithmic trading strategy ideas from external sources?

You can automate discovering trading strategy ideas by deploying parallel subagents that query external feeds, extract actionable directives, and save them to output/ideas.jsonl for downstream conceptualization.

What components should a valid automated futures trading idea include?

A valid trading idea must include a primary OHLC-based indicator, a defined activation rule, an expected market effect, and a clear exit condition, while applying deduplication and risk controls.

Can I use this to find trading strategies for futures and CFDs using OHLC indicators?

Yes, the system applies discovered strategy ideas to futures and CFDs by utilizing OHLC-based indicators to define activation rules, market effects, and exit conditions.

How do parallel agents coordinate when searching for trading ideas?

Parallel subagent teams coordinate through Agent Teams orchestration, utilizing needs.md guidance, query management, and session logs to incrementally explore diverse external feeds without duplication.

What is the best way to feed discovered trading ideas into a strategy conceptualizer?

The best way is to export the structured ideas, complete with indicators and exit conditions, into output/ideas.jsonl, which serves as the direct ingestion file for the strategy-conceptualizer.

Does the strategy search process apply deduplication and risk controls to collected ideas?

Yes, the collection process applies deduplication and risk controls to ensure every surfaced trading idea is unique and adheres to defined risk management parameters before export.