AI Stock Analysis in 3 Dimensions: Quality, Fundamentals, Valuation

Three dimensions, one clear decision. The Leeway-Score combines all important aspects of in-depth stock analysis

The number on each card is that rating's live score – example stock: SAP.

LLM-based analysis

Business-Rating

Score36.0

Business model assessment

LLM Analysis

  • Feature availableBusiness model
  • Feature availableCompetitive position
  • Feature availableManagement
Usage: Long-term investments, quality assessment
Machine learning algorithm

Market-Fit-Rating

Score79.2

Patterns in the balance sheet

Machine Learning

  • Feature availableProfitability
  • Feature availableFinances
  • Feature availablePrice/performance
Usage: Fundamental valuation, growth potential
Timing analysis

Cycle-Rating

Score46.5

Timing in the valuation cycle

Classic Analysis

  • Feature availableValuation vs. own history
  • Feature availableCheap/expensive zones
  • Feature availableEntry/exit windows
Usage: Timing, entry/exit points
Aggregation

Leeway-Score

Score53.9

The one number for your shortlist

Aggregation

Usage: Ranking and shortlist

Chat models summarize text. Analysts cover few companies and carry bias. Leeway splits three independent questions: Business-Rating (business-model quality, LLM), Market-Fit-Rating (fundamental fit, machine learning) and Cycle-Rating (timing versus the stock's own valuation history). The Leeway-Score is the balance: one third each, not a single AI opinion.

Methodology for Business-Rating, Market-Fit-Rating, Cycle-Rating and Leeway-Score is under Help & Getting Started.