Published model evidence
Qualtix Model Validation
Review how the deterministic Qualtix model was tested historically using point-in-time SEC filing data via FMP, a fixed Russell 1000 baseline universe, and SPY benchmark comparisons.
Validation explains the testing design behind the model. It is meant to make the assumptions, controls, and limitations visible before users rely on the output as research context.
Historical validation and forward tracking are separate evidence types. Backtests apply a methodology to historical data; live simulations record outputs before future results are known.
What Historical Testing Demonstrates
- Whether the scoring framework produced coherent groups of stocks under historical market conditions.
- Whether model-driven baskets could be compared against a benchmark with consistent rules.
- Whether the same scoring logic could be applied repeatedly instead of rewritten around each stock.
- Where the model needs limits, exclusions, or data-quality safeguards.
What Historical Testing Does Not Demonstrate
- It does not prove that future model picks will outperform.
- It does not remove data-provider, filing-lag, market-regime, or execution risks.
- It does not mean Qualtix gives personalized buy, sell, or allocation advice.
- It does not replace investor judgment, filings, or broader due diligence.
Evidence Chain
The recommended path is methodology, validation, published results, forward tracking, transparency, and then real stock outputs.
Qualtix is for research and education only. It is not financial advice.