How the Qualtix stock research model was built and validated

Data The Model Uses

• SEC filing-based fundamentals accessed through FMP where supported.
• Company profile fields such as market capitalization when available.
• Market price, momentum, benchmark, and sector context used for timing and risk checks.
• Data quality controls for filing lag, share-count drift, missing metrics, and extreme market-data anomalies.

How Scores Are Produced

• Business quality is evaluated separately from valuation so a strong company is not automatically treated as an attractive setup.
• Entry timing is evaluated separately from both quality and valuation because price action can change faster than fundamentals.
• Red-flag and exclusion checks can prevent a superficially attractive stock from receiving a clean verdict.
• The displayed score is the model output shown to users; AI explanation is downstream of that score.

What The Model Does Not Know

• It does not predict unexpected news, future management decisions, litigation, regulatory shocks, or sudden macro events.
• It cannot guarantee that strong business quality will produce strong stock returns.
• It cannot know whether an elevated valuation will normalize quickly or remain elevated for a long time.
• Its output can change when price, fundamentals, filings, or data quality change.

Methodology Links And Examples