TickerTrends
  • Documentation V2
    • Introduction
    • Introduction to Data Types
      • Amazon
      • Google Trends
      • Youtube
      • Instagram
      • Web Traffic
      • App Usage
      • TikTok
      • Reddit
      • Wikipedia
      • Job Postings
      • Financial Data Types
    • TickerTrends Tiers
    • Why Choose the Enterprise Tier vs TickerTrends Core?
    • Enterprise Section
      • Enterprise KPI Dashboard Overview
      • Getting Started: Create New Pages
      • Adding Widgets
      • Enterprise Dashboard Features
      • Outlier Mode on Exploding Trends
      • Home/Analyze Page
      • Sector Trends Page
      • TickerTrends' Proprietary Trends
      • Social Discover Page
      • Social Discussion
      • Trend Lab - Gen AI Alternative Data Research + Contextualize "Why" a Search Spiked
      • Gen AI Enterprise Page Builder
      • Custom Datasets and Training Sessions Included!
    • Section 1: Discover
      • 1.1 Discover
      • 1.2 Exploding Trends
      • 1.3 Watchlist Screener
      • 1.4 Sector Trends
      • 1.5 Social Discover
    • Section 2: Analyze
      • 2.1 Home Page
      • 2.2 Analyze Page
      • How to Start - Search for Tickers or Terms
      • Instant Scrape
      • Add Stocks to Watchlist
      • Related Symbols Table
      • Financial Data Section
      • Alerts
      • Alternative Data Section Overview
      • Proprietary Trend Values
      • Pie Chart
      • Compound vs Individual Mode
      • Dynamic Chart
      • Dynamic Chart Data Source Descriptions
      • Visualization Tools & Interval Mode
      • Summary
      • Enterprise Dashboard
      • Transcripts Page
    • Section 3: Manage
      • 3.1 Edit Data
      • 3.2 Settings
      • API Settings
    • Section 4: API Access
      • API Settings
  • Add-Ons
    • Chrome Extension
    • KPI Tracker
    • Quant Data Solutions
    • TickerTrends Social Arbitrage Fund
    • For Hedge Funds
    • Research and Insights
    • Business Intelligence
    • Social Arbitrage
  • Tips And Tricks
    • Finding high quality terms
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  1. Documentation V2
  2. Enterprise Section

TickerTrends' Proprietary Trends

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Last updated 1 month ago

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

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.

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.

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.