trade-thesis

Generate structured investment theses for publicly traded stocks.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/miladdavoodi9/ai-trading-assistant --skill trade-thesis-miladdavoodi9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade-thesis
Source: https://github.com/miladdavoodi9/ai-trading-assistant/tree/main/ai-trading-claude/skills/trade-thesis
Command: npx skills add https://github.com/miladdavoodi9/ai-trading-assistant --skill trade-thesis-miladdavoodi9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill generates rigorous, institution-grade investment theses for publicly traded stocks, enabling structured decision-making without outsourcing research.

Core Features & Use Cases

  • Comprehensive thesis structure: bull/bear cases, catalysts, timeline, entry/exit strategies, position sizing, and asymmetry assessment.
  • Data-driven analysis: aggregates company overview, financial performance, valuation, technicals, and competitive landscape to build evidence-backed conclusions.
  • Use Case: before adding a new position, generate a repeatable, auditable thesis to guide sizing and risk controls.

Quick Start

Provide a ticker symbol to generate a complete investment thesis for the stock.

Frequently Asked Questions about trade-thesis

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

FAQPage Schema
How do I generate a comprehensive investment thesis for a specific stock ticker?

You generate an investment thesis by providing a stock ticker to produce an institution-grade TRADE-THESIS document. It aggregates company financials, valuation, technicals, and competitive landscape to build evidence-backed bull and bear cases.

What should an institution-grade equity research thesis include for risk analysis?

An equity research thesis should include structured sections for bull/bear cases, catalyst timelines, entry/exit strategies, position sizing, and risk controls. It requires precise data gathering and explicit sourcing to ensure auditable investment decisions.

Can I use this stock analysis approach for both short-term and medium-term trading decisions?

Yes, this stock analysis applies to both short- and medium-term decision-making. It synthesizes market technicals, valuation metrics, and catalyst timelines to guide your position sizing and risk management strategies across different holding periods.

What is the best way to structure data-driven stock analysis before adding a new position?

The best way to structure data-driven stock analysis is to follow a formal thesis template covering executive summaries, risk factors, and asymmetry assessment. This creates a repeatable, auditable framework to guide your entry and exit controls.

Does generating a rigorous investment thesis require manual data sourcing for every financial metric?

Generating a rigorous investment thesis requires precise data gathering and explicit sourcing for all financial metrics. The Skill enforces strict quality standards to ensure detailed evidence backs every conclusion in the final thesis file.

When should I not use a formal investment thesis generator for equity research?

You should not use a formal investment thesis generator if you need rapid, high-frequency trading signals without comprehensive risk controls. This approach requires detailed evidence gathering and adheres to strict quality standards better suited for deliberate position planning.