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
    • 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!
      • 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
    • 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
      • Interval & Avg Mode
      • Summary
    • Section 3: Manage
      • 3.1 Edit Data
      • 3.2 Settings
      • API Settings
    • Section 4: API Access
      • API Settings
  • Add-Ons
    • Chrome Extension
  • Tips And Tricks
    • Finding high quality terms
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  1. Documentation V2
  2. Introduction to Data Types

Google Trends

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Last updated 3 days ago

Google search trends represents search volume of various types across Googles platforms such as web keyword search, YouTube search, news search, image search, and shopping search. This data is updated bi-weekly and has 5 years of historical data. Google Search interest is shown on a normalized scale from 0 to 100, with 0 representing the lowest interest in the period and 100 being the highest. This shows users what keywords people are searching for and how frequently relative to the keyword's history. This can be a vital part of the research process in identifying societal themes that are getting more or less popular over time.