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
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  1. Documentation V2
  2. Section 1: Discover

1.5 Social Discover

Previous1.4 Watchlist ScreenerNextSection 2: Analyze

Last updated 15 days ago

The Social Discover page is a new way of finding the latest trends on social media platforms.

There are 2 main sections: Connected Entities and Discover Filters

Connected Entities

This section aims to connect keywords that are trending on social media to their most applicable public or private company.

For example, at the top of this list we see "Volvo Cars"

This keyword being discussed more than normal on social media might indicate an analyst should further research the company. Our systems correctly connect "Volvo Cars" to the company $VOLVF (Volvo).

Fields users will notice are:

  • Similarity: How similar the keywords are to the ticker it is being linked to automatically

  • Max Trend: Percentile of last hour interactions on social media platforms versus a 90-day moving average of normal social chatter

  • Interactions: Total number of last 24-hour interactions that keyword has received

Users can sort by any of these fields on the top right to get a different list ordering:

So for example, if they want to see the most interaction, highest volume keywords first, they would order by "Interactions".

Overall Score is calculated using a combination of all 3 of these fields in this listed formula:

Discover Filters

By analyzing total impressions across various social media platforms, users can see a last 7 day time series of interactions with hourly values being displayed when hovering. The page defaults to being sorted by "Discussion Momentum" (highest 1 to lowest 0). Discussion Momentum will show users topics that are currently at their most hourly interactions relative to the week

The Related Terms tab lets you expand to see a full list of phrases in which the plotted word is being used in online, giving valuable context.

The Trend Strength indicates the most recent data print versus the history of the last 168 hours of data shown in the chart. If the current print in at an all time high, the Trend Strength will show up as 1.00. This is useful to help in the sorting process and surfaces terms which are most recently seeing the highest social traction. On a similar token, a Trend Strength of 0.00 indicates that a term's impressions are an all-time low for the last 7 day period.

The Interactions shows the raw volume of social post impressions for the shown word in last 24-hour period.

Now on the to sections... the "24-Hour Interaction" section has 3 choices: "High Volume", "Mid Volume", and "Low Volume".

The High Volume shows only terms with over 10M interactions over the last 24-hours. The Mid Volume shows only over 100K interactions. The Low Volume shows only under 100K interactions respectively. Next, the "Types" section lets users focus on more niche sets of terms or tickers. For those only interested in Stocks, they would choose "Stock Market Only". Crypto traders would choose "Crypto Market Only". "Other Topics Only" essentially indicates keywords that are not a public ticker symbol or cryptocurrency. "Breaking News" in the above screenshot is a good example of a topic that isn't in the stock or crypto section.

Next, we can try a different sorting algorithm on the "Order By" section. Choosing "Discussion Multiplier" sorts the terms based on short term interaction volume divided by longer term interaction volume. Notice how the y-axis of each chart changes.

In this mode, a value of 1 is meant to indicate that short term interactions are in-line with longer term interactions for that term across social platforms. In the example above, we see values of 48.23 for "ripple fries", indicating the term is being used over 48x more than the terms longer term mean.

Users can also "Add Term" to their accounts. Adding a term will scrape that keyword, start tracking it, and collect total impressions data for it. This makes the Social Discover Page very customizable and able to track a broad array of types of keywords / tickers.

Ordering by "Interaction Volume" instead sorts from highest to lowest based only on Interactions volume, which is on the top right of each of the charts.