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trade-analyze

Orchestrate five parallel subagents to produce a unified Trade Score for a ticker.

Updated Apr 15, 2026
Search Tags:#multi-agent#portfolio#score#investing#stock-analysis#investment-thesis#trade-analyze
One-click install
npx skills add https://github.com/Kingmopser/TumaiDreamTeamBarcelona --skill trade-analyze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-analyze
Source: https://github.com/Kingmopser/TumaiDreamTeamBarcelona/tree/main/.claude/skills/trade-analyze
Command: npx skills add https://github.com/Kingmopser/TumaiDreamTeamBarcelona --skill trade-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stock analysis is often fragmented across models and reports; this Skill consolidates them into one cohesive Trade Score to speed up decision-making.

Core Features & Use Cases

  • Parallel discovery, scoring, and synthesis for a ticker
  • Composite Trade Score with an investable report
  • Suitable for rapid pre-trade analysis, research briefs, and portfolio tilt decisions

Quick Start

Invoke the trade-analyze skill with a ticker, e.g., /trade analyze TICKER, to generate a full multi-agent stock analysis and unified Trade Score

Frequently Asked Questions about trade-analyze

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

FAQPage Schema
How do I get a unified stock analysis score for a single ticker?▼

A unified stock analysis score is generated by orchestrating five parallel subagents that evaluate a single ticker across multiple analytical dimensions. This process consolidates fragmented reports into one composite Trade Score for fast decision-making.

What is the best way to consolidate fragmented stock analysis reports into an investable thesis?▼

The best way to consolidate fragmented stock analysis into an investable thesis is using a multi-agent skill that synthesizes parallel outputs. It generates a final report featuring bull/bear cases, catalysts, and entry/exit guidance alongside a unified score.

How do I generate bull/bear cases and entry/exit guidance for pre-trade analysis?▼

You generate bull/bear cases and entry/exit guidance by running a parallel discovery and scoring process on a ticker. The subagents analyze multiple dimensions and synthesize the findings into a comprehensive investable report for rapid pre-trade analysis.

Does this multi-agent stock analysis approach work for portfolio tilt decisions?▼

Yes, this multi-agent stock analysis approach works for portfolio tilt decisions. By providing a composite Trade Score and a synthesized investment thesis, it delivers the rapid end-to-end evaluation needed to adjust portfolio positioning quickly.

What inputs do I need to run a parallel agent stock evaluation?▼

To run a parallel agent stock evaluation, you need to provide a ticker symbol to initialize the process. The system requires a DISCOVERY_BRIEF along with the parallel agent outputs to synthesize the final report and unified Trade Score.

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