trade-analyze

Orchestrate five parallel stock analysis agents into a unified Trade Score report.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/skeny65/Trading-skill --skill trade-analyze-skeny65
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade-analyze
Source: https://github.com/skeny65/Trading-skill/tree/main/skills/trade-analyze
Command: npx skills add https://github.com/skeny65/Trading-skill --skill trade-analyze-skeny65

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trade-analyze provides an end-to-end stock analysis orchestrator that launches five parallel subagents to synthesize a unified Trade Score and professional investment report from a ticker symbol.

Core Features & Use Cases

  • Five parallel agents: technical, fundamental, sentiment, risk, and thesis analyses run simultaneously to deliver a holistic view.
  • DISCOVERY_BRIEF fusion: compiles essential discovery data to prevent redundant searches by all agents.
  • Unified output: produces a comprehensive report with a composite score and actionable insights for portfolio decisions.
  • Use Case: Analyze a stock like AAPL to obtain a rapid, multi-faceted view and a structured investment thesis.

Quick Start

Invoke the trade-analyze skill with a ticker symbol to run discovery, launch five parallel agents, and generate the unified Trade Analysis report.

Frequently Asked Questions about trade-analyze

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

FAQPage Schema
How do I run multi-agent stock analysis for a single ticker?

Multi-agent stock analysis runs by submitting a ticker symbol to trigger discovery, launch five parallel agents for technical, fundamental, sentiment, risk, and thesis dimensions, and synthesize a unified Trade Score report.

What is a Trade Score in investment research?

A Trade Score is a composite metric generated by synthesizing parallel technical, fundamental, sentiment, risk, and thesis analyses into a single holistic investment view for portfolio decision-making.

How does multi-agent investment research prevent redundant data searches?

Multi-agent investment research prevents redundant searches by compiling a structured DISCOVERY_BRIEF that fuses essential ticker data, ensuring all five parallel analysis agents share foundational context without repeating queries.

Can I use this multi-agent stock analysis for portfolio decision-making?

Yes, multi-agent stock analysis is designed for portfolio decision-making, delivering a unified TRADE-ANALYSIS report with a composite score and actionable investment thesis outputs from a single ticker.

What dimensions does the five-agent stock analysis evaluate?

The five-agent stock analysis evaluates technical, fundamental, sentiment, risk, and thesis dimensions simultaneously to provide a rapid, multi-faceted view of a stock for investment research.

Is a structured discovery brief required to generate a Trade Score?

Yes, a structured discovery brief is enforced to compile essential ticker data upfront, preventing redundant searches and standardizing agent prompts before synthesizing the final Trade Score report.