trade-analyze

Coordinate five parallel AI agents to analyze stocks and generate a composite Trade Score.

217|110|Updated Apr 7, 2026

Search Tags:#multi-agent #risk #thesis #investing #stock-analysis #trade-score

Ready to run

npx skills add https://github.com/zubair-trabzada/ai-trading-claude --skill trade-analyze-zubair-trabzada

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trade-analyze
Source: https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-analyze
Command: npx skills add https://github.com/zubair-trabzada/ai-trading-claude --skill trade-analyze-zubair-trabzada

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a coordinated multi-agent stock analysis workflow to produce a single, interpretable investment verdict, saving time and improving decision fidelity for ticker-level research.

Core Features & Use Cases

5-subagent orchestration: technical, fundamental, sentiment, risk, and thesis perspectives are analyzed in parallel to generate a unified Trade Score.
Standardized outputs: delivers a composite score along with a readable investment narrative and recommended next steps for further deep-dives.
Use Case: a portfolio manager quickly screens tickers to decide which names deserve deeper qualitative and quantitative scrutiny.

Quick Start

Invoke with /trade analyze <TICKER> to trigger a full multi-agent stock-analysis workflow.

Frequently Asked Questions about trade-analyze

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

FAQPage Schema

How does multi-agent stock analysis generate a unified Trade Score?▼

Multi-agent stock analysis generates a unified Trade Score by coordinating five parallel AI agents that evaluate technical, fundamental, sentiment, risk, and thesis perspectives, synthesizing these dimensions into a single composite score for investment decisions.

How do I run a multi-dimensional stock analysis on a specific ticker?▼

To run a multi-dimensional stock analysis on a specific ticker, invoke the command /trade analyze <TICKER> to trigger the full multi-agent workflow, which outputs a composite score, an investment narrative, and recommended next steps.

Can I use this multi-agent stock analysis for portfolio-level screening?▼

Yes, you can use this multi-agent stock analysis for portfolio-level screening. Portfolio managers can quickly screen multiple tickers to identify which names warrant deeper qualitative and quantitative scrutiny before committing capital.

What investment dimensions are covered by the parallel AI agents?▼

The parallel AI agents cover five investment dimensions: technical analysis, fundamental analysis, market sentiment, risk assessment, and investment thesis evaluation, ensuring a cross-dimension evaluation for ticker-level research.

What is the best way to evaluate stock risk and thesis before investing?▼

The best way to evaluate stock risk and thesis before investing is using a coordinated multi-agent workflow that analyzes risk and thesis perspectives in parallel alongside technical, fundamental, and sentiment data to produce an interpretable investment verdict.

What does the standardized output of this stock analysis workflow include?▼

The standardized output of this stock analysis workflow includes a composite Trade Score, a readable investment narrative explaining the cross-dimension evaluation, and recommended next steps for further deep-dives into the ticker.