Rules-based stock model
A deterministic stock scoring model built for repeatable research
Qualtix applies a consistent, layered scoring process to business quality, valuation, entry conditions, risk, company context, and data confidence. AI explains the result but does not create or override it.
Deterministic scoring means the model is designed to apply the same rules to the same inputs instead of changing its opinion because a prompt, narrative, or market mood changed.
That separation is important: the model scores; AI explains. Users can then inspect the explanation, evidence pages, and stock examples before doing their own research.
Why Repeatability Matters
- It makes stock comparisons more consistent.
- It reduces the risk that an explanation becomes a hidden scoring engine.
- It allows validation and live tracking to evaluate a stable methodology.
- It makes limitations easier to document because the model has defined inputs and rules.
Main Score Layers
- Business quality: financial strength, durability, and operating context.
- Valuation: whether the stock price looks demanding, reasonable, or weak relative to model inputs.
- Entry timing: whether current market behavior supports patience or action-oriented research.
- Red flags and exclusions: data confidence and conditions that can weaken a verdict.
Inspect Real Outputs
Qualtix is for research and education only. It is not financial advice.