2.1 Summary Page

The Summary Page allows for one of the most powerful user experiences to date on the TickerTrends Platform.

Users can simply type any company or keyword and the dashboard will populate firstly with “Related Symbols”. This lets users see similar companies/ideas to what they searched without needing to previously input or even know about the related symbols shown, exposing them to new areas for analysis if they wanted to explore.

If the user wants, they can perform an instant scrape for quick data viewing. Simply type in a keyword to see historical data for the input provided. For example if a user wants to see Google Trend data for $CELH, they may type in “Celsius energy drink (trend)” in the search bar. If they want to view web traffic data for $LULU, they may type in “lululemon.com (web)”. This process can be repeated for any data type, by replacing the (trend) or (web), with whatever data a user is trying to see at a glance. (youtube), (tiktok), (wiki), etc are all possible to be instantly fetched from the Summary Page.

Just below the "Related Symbols" section, users will see the all the similar stocks auto-ranked based on their features such as "Price 3m", "Trend", "Youtube", "Tiktok", "Wiki", and "Web" values.

These values are auto-generated by TickerTrends based on keyword analysis of which are most relevant to the company's revenue. A value above 1 indicates a growing trend and a value below 1 indicates a declining one. 0.00 values typically don't have any data to display.

Second, a “Company Description” is shown, detailing quick facts about the company/topic searched.

Third, the “Financial Data” section integrates historical financial data about the company, including the price chart, Earnings Transcripts, EPS, and Revenue. Users can select “Price” to see the last 3 months, 6 months, 1 year, 2 years, or full history of the ticker’s price data.

The “Transcripts” section generates AI generated summaries of the chosen ticker’s earnings call. Users can see the last 6 quarters of summarized data.

“EPS” shows historical stock Earnings Per Share charts for each quarter. Both the company's actual reported EPS and Wall Street Analyst consensus are displayed.

“Revenue” similarly shows the ticker’s historical revenue data, with analyst estimated revenue vs ticker actual reported data.

Fourth, the “Alternative Data” portion showcases TickerTrends Proprietary Aggregate Trend value. This value introduces a sophisticated weighting system on relevant company keywords internally calculated by TickerTrends. It is meant to display the strength of a company's revenue potential. This lets users very quickly get a general overview of the trend strength of a company, allowing for a vast array of ticker analysis. Additionally, this section also features AI generated similar Amazon, Search Trend, Web, Shopping, Image, TikTok, YouTube, Wikipedia, and SEO values the searched company as well as companies/topics that are deemed similar.

These Alternative Data values can be selected and displayed on the chart time series below. This lets users view data side-by-side for both the user searched company as well as AI determined competitors.

The “Extra Data” box contains additional terms a user can add to the Dynamic Chart shown above, if they want to compare and contrast other trend data of other tickers.

Below, “childrensplace.com(web)” were added via “Extra Data” as shown. This helps users add in values that they have previously added to their personal TickerTrends accounts and compare it this range of alternative data values that were AI-generated. Then a 5-day moving average was applied and the resulting “Dynamic Chart” displays below.

This makes comparing companies' important data values effortless and easy!

Fifth, the “Related Social Discussion Topics” section populates with common two or three word phrases used across social platforms in association with the keyword or company entered. This gives users valuable context in which the company is being talked about. In this example, we see terms similar to “Lululemon”.

The Summary Page as whole is a very powerful tool that allows the user to simultaneously view key information about a keyword or company as well as related companies/terms auto-generated by an AI similarity algorithm. This vastly improves the ability of users to catch onto new trends early, even in tickers they had no idea about previously and never searched for. This serves as a valuable tool to productively and efficiently discover information about financial markets in a summarized, easy-to-read format.

Last updated