Question 1

What is Marlowe Research Deep Dive Analysis?

Accepted Answer

Marlowe Research is an AI-powered equity research platform that performs a 300-question fundamental analysis on any publicly traded company. It covers 6 modules: Financial Performance, Management & Governance, Competitive Position, Risk Analysis, Growth Prospects, and Valuation. Each company receives a score from 0-100 with a letter grade (A+ to F) and an investment recommendation.

Question 2

How many companies does Marlowe Research cover?

Accepted Answer

Marlowe Research covers over 3,000 publicly traded companies across 47 global markets. You can analyze any company by entering its ticker symbol (e.g., AAPL for Apple, MSFT for Microsoft, TSLA for Tesla).

Question 3

Is Marlowe Research free to use?

Accepted Answer

Yes, Marlowe Research Deep Dive Analysis is free to use. You can analyze any publicly traded company, generate PDF reports, compare companies side-by-side, and track companies on your watchlist at no cost.

Question 4

How does the scoring system work?

Accepted Answer

Each company is scored from 0-100 across 6 weighted modules: Financial Performance (25%), Growth Prospects (20%), Competitive Position (15%), Risk Analysis (15%), Valuation (15%), and Management & Governance (10%). The overall score maps to a letter grade from A+ (95-100) to F (0-44), along with an investment recommendation from Strong Buy to Strong Sell.

Question 5

What is the Valuation Brain?

Accepted Answer

The Valuation Brain is an automated valuation engine that selects the optimal valuation methodology based on a company's characteristics — including its growth stage, profitability, asset intensity, and sector. It supports discounted cash flow (DCF), comparable company analysis, precedent transactions, and asset-based approaches.

Question 6

What data sources does Marlowe Research use?

Accepted Answer

Marlowe Research aggregates real-time financial data from multiple sources including Financial Modeling Prep (FMP) and Yahoo Finance. The AI analysis engine uses chain-of-thought reasoning to process this data through 300 structured questions, providing transparent methodology for every conclusion.

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