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-basierte Analyse

Business-Rating

Score38.0

Business model assessment

LLM Analysis

  • Funktion verfügbarBusiness model
  • Funktion verfügbarCompetitive position
  • Funktion verfügbarManagement
Usage: Long-term investments, quality assessment
Machine Learning Algorithmus

Market-Fit-Rating

Score78.9

Patterns in the balance sheet

Machine Learning

  • Funktion verfügbarProfitability
  • Funktion verfügbarFinances
  • Funktion verfügbarPrice/performance
Usage: Fundamental valuation, growth potential
Timing-Analyse

Cycle-Rating

Score56.5

Timing in the valuation cycle

Classic Analysis

  • Funktion verfügbarValuation vs. own history
  • Funktion verfügbarCheap/expensive zones
  • Funktion verfügbarEntry/exit windows
Usage: Timing, entry/exit points
Aggregation

Leeway-Score

Score57.8

The one number for your shortlist

Aggregation

Usage: Ranking and shortlist

Chat models summarize text. Analysts cover few names 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.