Beyond raw screening results
Why stock screeners give data, not decisions
Traditional screeners surface tickers based on filters but stop short of a structured verdict. Qualtix adds business quality, valuation, entry timing, red flags, portfolio context, and AI explanations on top of the screen.
The problem with filter-only screeners
A classic screener can show companies with low P/E ratios, high margins, strong revenue growth, or rising momentum. That is helpful, but it does not answer the harder question: which stock is actually worth deeper research right now?
A decision-flow layer helps after the screen
Qualtix does not replace all research. It helps organize the first pass: verdict, business quality, valuation, entry timing, red-flag checks, comparison, and portfolio context. Start with the daily screener to find quality businesses worth long-term research. Open a Clean Brief for business quality, valuation, entry timing, red flags, and verdict context. Put two companies side by side to see tradeoffs before going deeper. Use Qualtix Coach to ask why the model view looks the way it does. Use Portfolio Builder to turn ideas into a more structured portfolio starting point. Use watchlist and portfolio reports to review the thesis over time.
The model scores, AI explains
The Qualtix verdict comes from a rules-based model. The AI layer explains the output so users can understand why a stock cleared or failed the model view before doing their own research. That separation matters. The assistant should explain the score; it should not invent or override the score.
Use comparison before conviction
A single stock brief can be useful, but comparison creates better context. Put two companies side by side to see where each wins or loses on quality, valuation, timing, and model takeaway.
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Qualtix is for research and education only. It is not financial advice.