How TickerAI scores stock opportunities
Every trading day, TickerAI scans a broad US equity universe and surfaces a short list of opportunities ranked by conviction. This article explains what goes into that score — without drowning you in formulas.
Why scoring matters
Most investors do not have time to monitor thousands of tickers. A consistent score lets you compare setups on equal footing and decide where to spend attention first.
What the scanner looks for
TickerAI combines several signal families:
- Momentum — price action that suggests continuation or fresh upside.
- Volume — participation confirming the move is real, not thin.
- Discount / value context — setups that are not already extended without cause.
- Sector strength — tailwinds from the broader group.
The model adapts to different market regimes so a strong score in a choppy market means something different than in a broad rally — but the display score stays on the same 60–95 scale.
Display score vs raw rank
On Discover you will see a display score (typically 60–95). Higher scores map to higher-ranked picks from the latest scan. Scores at 90+ are treated as high conviction for alerts and opportunity notifications.
From score to action
A score is a starting point, not a guarantee. TickerAI pairs ranked picks with:
- Possible trade plans — entry reference, target, and stop levels when available.
- Alerts — notify you when new high-conviction names appear or conditions change.
Practical workflow
- Open Discover and sort by score.
- Read the signal summary and trade plan for context.
- Set alerts on names you are watching.
- Use your own risk rules before acting.
Summary
TickerAI scoring is designed to answer one question quickly: which setups deserve your attention right now? The blog will publish deeper dives on individual signal types over time.