trade-thesis

Generate an investment thesis by running the command with a target ticker symbol to automatically collect company overviews, financial performance, and valuation metrics into a structured document. The tool enforces data-driven criteria with explicit dates, numbers, and sources to ensure professional-grade transparency.

An institutional-grade investment thesis framework is a structured, evidence-backed document that outlines bull and bear narratives, catalyst timelines, competitive landscapes, and risk factors for equity research. It enforces data-driven criteria including explicit dates, numbers, and sources to ensure reproducibility and transparency.

Yes, this equity research tool provides trade-management rules, risk controls, and position sizing guidance alongside the generated investment thesis. It delivers memo-ready recommendations suitable for portfolio managers and trading desks to inform decision-making.

Yes, you can use this to draft stock pitches and portfolio reviews by outputting a comprehensive long-form narrative supported by data points, dates, and sources. It is ideal for equity research teams drafting professional recommendations and academic studies of investment frameworks.

You only need to provide the ticker symbol of the publicly traded stock to initiate the stock analysis and thesis generation. The skill automatically collects the required company overview, financial performance, valuation metrics, and technical setup to produce the final document.

A key limitation is that automated equity research requires a structured framework to avoid bias, meaning users must still validate the data-driven criteria and explicit sources provided. It is designed for memo preparation and decision-making support rather than autonomous trade execution.