TickerTrends' Proprietary Trends

Enterprise accounts have access to different Proprietary Trends we have developed in-house. A brief overview is below:

1. Social Arb Trend: The Social Arb Trend leverages advanced machine learning models to understand what has historically influenced a company’s revenue. This proprietary approach generates a unique time-series trend, offering insights into potential current revenue. Put simply, this time series aggregates social and consumer search data trends into a single, powerful metric. To account for ambiguity, an uncertainty value is incorporated through a “Confidence Score”. A low score indicates an unreliable trend while a high score indicates that alternative models a company's historical revenue well and is thus more reliable. The data sources predictive of that company's revenue are broken out in a pie chart. The Social Arb Trend functions as a digital revenue index, providing a current perspective on what a company might report.

1. Investor Expectation Tend: The Investor Expectation Trend models aggregate market expectations of a ticker based on analyst and investor discussion online. A high value (closer to 100) is meant to indicate an exuberant investor base with lots of media coverage and social saturation. A value closer to 0 would indicate the opposite.

1. Whisper Expectation Trend: The Whisper Expectation Trend establishes our best model of hidden earnings expectations embedded in a stock. This proprietary trend helps investors gauge true sentiment of a company going into their earnings reports. A high Whisper value (>80) tends to indicate a much larger beat on analyst expectations is likely needed to sustain the company’s price, whereas a low Whisper value (<20) indicates that a lot of fear or uncertainty might be baked in.