1.2 Exploding Trends

In this section, users can easily discover the hottest trends occurring in real-time. The view is automatically generated for the users and has tens of pages of keywords to explore. The page is meant to be used as a trend discovery tool, helping users spot fast growing keyword searches. This can aid their stock picking experience and help with idea generation. It is very important to note, these keywords are generated without manual input by the user.

In the example above, we navigated to the "Trend" data type, but users can select any data type they prefer. "Trend" and sort by "Percent Increase" are the default settings when a user clicks on the Exploding Trends page.

Users have a 5-year view of how much interest a keyword is getting and can decide to analyze any of these terms for their stock discovery research. Let's say "roblox reddit" catches a user's eye and they want to discover related stocks.

The user simply selects "Search" in the top right corner and is led directly to the Analyze Page showing related stocks they can then go ahead and research within the Analyze Page. If they are done looking and want to go back to the page they left off on they simply click "Back" right next to the "Analyze" title. By default, the Period is "3 Months" and Moving Average "1 Day", however, we recommend increasing both the Period and Moving average to get a better idea of the longer term trend of a topic.

This makes for fast trend and stock discovery. If after going back the user decides to do more research on terms similar, they can click on the "Related Terms".

Users can also sort all the keywords in this list by "Alphabetical" or "Percent Increase".

By default, the sort will be by "Percent Increase".

In the "Filter by" section, users can filter by "Search", "Percent Increase", or "Current Value".

For "Search", users can type a keyword to see if it's in the dataset. When typing in Search, the Sort functionality instead switches to "Search Similarity", where only the closest matching keywords to the entered term will populate. For example, multiple hundreds of pages of Trends became only 5 pages when "nike" is searched and all look shoe-related.

For "Minimum Percent", typing "50" for example will only show you keywords rising by more than +50% in the 5 year period shown.

For "Current Value", users can search for keywords based on the raw last Google Trend value. I.e. typing "95" would indicate that the last datapoint is near the very highs (in the top 5% range) of its 5 year history. This is valuable for finding consumer search trends that are only currently hitting their highest levels of interest ever.