No Ticker? No Problem. The Launch Of The TickerTrends Router
TickerTrends Search Now Understands Plain English, No Ticker Required.
The feature is called TickerTrends Router: ask questions using natural language, and the platform routes you straight to the relevant screener, tracker, or company page.
TickerTrends Platform Update & Why It Matters
The search bar at the top of TickerTrends, now accepts plain natural language questions alongside standard ticker and keyword searches. Rather than requiring users to already know a ticker or manually set filters, the router sends the user directly to the most relevant page, screener, or dataset.
This new feature allows you to type something like “What food brands are viral on TikTok?”, landing you directly on the relevant tickers, trackers, and trend data. There is no need to already know which brand you were thinking of, or which dashboard holds that answer. Users can go from a broad idea to a filtered workflow in one step.
Depending on the inquiry, the router can send users to Exploding Trends (raw breakout keyword discovery), Trackers (ranked company momentum), Forecasts (KPI-driven idea generation), a specific company page, or a private company page when the search implies a private-market workflow.
Using It As A Discovery Tool
Rather than treating the search bar as a simple keyword lookup, it now breaks down the intent: category (fashion, food, beauty, tech), signal type (viral, growing, declining, trending), and platform (TikTok, Instagram, search) all get pulled out of an ordinary sentence and mapped to the underlying data. A question like “What beauty brands are seeing search spikes?” gets broken down into a category filter, a direction filter, and a data-type filter, then matched against the platform’s live coverage, all without the user touching a single dropdown menu. That means the same question can surface a mix of answers a manual search never would have.
Best Practices, Per TickerTrends’ Own Guidance
The feature responds best to short, explicit prompts, rather than long conversational ones. For example: “Consumer companies with accelerating awareness” will outperform a drawn-out, chatbot-style question.
A few examples of the kind of question that now works directly in the TickerTrends search bar:
What fashion brands are trending on TikTok?
Viral beauty trends
What’s exploding on TikTok right now?
Why is Chilis trending on social media?
Conclusion
Discovery no longer depends on already knowing what to look for. TickerTrends is shifting the momentum of research workflows built around specific tickers and trackers toward these kinds of open-ended, category-level questions now that the platform is built to answer them directly.