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 Walkthrough
      • 1. Enterprise Dashboard Overview
      • 2. Getting Started: Create New Pages
      • 3. Adding Widgets
      • 4. Enterprise Dashboard Features
      • 5. Outlier Mode on Exploding Trends
      • 6. Home/Analyze Page
      • 7. Sector Trends Page
      • 8. TickerTrends' Proprietary Trends
      • 9. Social Discover Page
      • 10. Social Discussion
      • 11. Trend Lab - Gen AI Alt Data Research + Contextualize "Why" a Search Spiked
      • 12. Gen AI Enterprise Page Builder
      • 13. Custom Datasets and Training Sessions Included!
    • Enterprise KPI Predictions Dashboard
    • Section 1: Discover
      • 1.1 Stock Screener
      • 1.2 Exploding Trends
      • 1.3 Sector Trends
      • 1.4 Watchlist Screener
      • 1.5 Social Discover
    • Section 2: Analyze
      • 2.1 Home Page
      • 2.2 Analyze Page
        • Walkthrough
          • 1. How to Start - Search for Tickers or Terms
          • 2. Instant Scrape
          • 3. Add Stocks to Watchlist
          • 4. Related Symbols Table
          • 5. Financial Data Section
          • 6. Alerts
          • 7. Alternative Data Section Overview
          • 8. Proprietary Trend Values
          • 9. Pie Chart
          • 10. Compound vs Individual Mode
          • 11. Dynamic Chart
          • 12. Dynamic Chart Data Source Descriptions
          • 13. Visualization Tools & Interval Mode
          • 14. Show Table View
        • Summary
      • 2.3 Enterprise Dashboard
      • 2.4 Transcripts Page
      • 2.5 KPI Dashboard
    • 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
Powered by GitBook
On this page
  1. Documentation V2
  2. Section 1: Discover

1.4 Watchlist Screener

Previous1.3 Sector TrendsNext1.5 Social Discover

Last updated 3 months ago

The Watchlist Screener page is designed to show users all of their own added terms all in one view. If you don't know how to "Quick Add" a keyword yet, please refer to the "Dynamic Chart" tab of Section 2.2 Analyze first.

The "Data Type" section lets users view all the terms they added filtered by specific data source.

The "Moving Average" lets users apply a moving average to data values shown in the table before calculating the columns.

The table itself shows the columns "Ticker", "Value", "3 Month %", "6 Month %", and "YOY".

The Ticker and Value columns are what the user has Quick Added to their active watchlist.

The other columns are calculated based on the following formulas:

3 Month % : latest daily raw value / 3 months ago daily raw value expressed as a percentage.

6 Month % : latest daily raw value / 6 months ago daily raw value expressed as a percentage.

YOY : latest daily raw value / one year ago daily raw value expressed as a percentage.

Changing the Moving Average applies the chosen trailing n day moving average to the daily raw data and then shows the percent change. We recommend applying a moving average as it smooths out noisy daily data and helps capture trends better.