2.5 KPI Dashboard
Last updated
Last updated
The TickerTrends KPI Dashboard is your central hub for tracking the real-time performance of public companies using alternative data and KPI-driven metrics. Designed for investors, analysts, and researchers, the dashboard highlights curated tickers and "conclusions" of our vast corpus of alternative data in a singular data prediction. Analysts can use this resource to see what TickerTrends proprietary models are forecasting for the most important KPI reported by large public companies.
The dashboard shows a clean interface for analysts to track their favorite tickers on a daily and weekly basis, giving users an actionable edge in their earnings. Each ticker is clickable to get a far more detailed view. Let's select $UBER as an example.
Uber reports "Monthly Active Customers" as a key indicator. We use our alternative data to prediction what the next reported earnings for this KPI will likely be!
Let's dig into each component.
Stock Details: Gives more information about ticker metadata.
KPI Prediction: The red dots show what TickerTrends is forecasting the next quarters KPI to be for the chosen company. Notice how there are red dots even on previous quarters. These are historical forecasts for this KPI that TickerTrends has made based on alternative data. This gives users an extremely detailed view into how reliable our forecasts have been in the past! All expanded views have the raw table values shown on the bottom in heatmap format. The options on the top right side allow users to export raw data values, zoom in, zoom out, and view the raw data daily values in a table form.
"Last Q" shows the Quarter-over-Quarter (QoQ) percentage change. "Future Q" shows the predicted QoQ percentage changed based on our cumulation of alternative data for that business which generates our predictions.
The expanded view gives even more granularity into our prediction, as well as seasonal bands which represent a confidence interval. In the Time Series view, we see what our exact forecast was versus the actual result Uber reported.
Notice the "Low" and "High" sub fields in our Forecast. This represents the prediction range expected based on our model.
Hovering over these values will show users exactly what TickerTrends expects based on our collective alternative data about the company.
Hovering over the chart dots itself will show users the exact prediction value and range of likely outcomes as well.
To further analyze the company itself in the traditional TickerTrends Analyze page, simply select "Search Details" on the top right.
Revisions: Analysts will be a revisions section. Each week, we re-run our KPI prediction models to incorporate the latest batch of alternative data values we collect in various data sources. These new values are taken into account and predictions change from week-to-week.
Users can select from any quarter and see our full revision history throughout the quarter. This gives a level of transparency and sense of direction shifts before a companies earnings. For example, consistent downward revisions could indicate severe slowing and even increase the likelihood the true reported number is even worse. In other words, in terms of these revisions, both the rate and magnitude of change matters!
Remember that these predictions are only designed to predict the final result that a company reports at its respective quarter end for the KPI's reported on the earnings report date.
Auto Generated KPIs: Auto generated KPIs show analysts more individual data source granularity. Some common fields you will see are "trend", "android", "web". On the Analyze Page, users can analyze each of these data types in much more detail with specific keywords. However, on the KPI page, this combines the most relevant keywords to a business' financial performance all into one singular time series value which is displayed to users by data type. This simply gives users more granularity into some components going into our final predicted KPI value.
Social Discussion Trends: Social Discussion trends summarizes the most relevant info social media users are talking about related to a ticker's product, service, or general sector. These quick summaries can shed tons of insights on feedback and sentiment the product, service or sector is getting online among today's consumers, summarizing today's chatter at a quick glance.
Earnings Transcript Insights: Gives auto-generated summaries of the last 6 most recent earnings calls. This can save analysts tons of research hours manually going through transcripts.
Scrolling to the bottom, we see the "View Full Transcript" option
This button takes users to the advanced Transcript page where users can read through the full earnings transcript or search for specific keywords, view sentiment, and much more!
For example, all mentions of "waymo" can be found and each snippet can be marked and skipped to.
Key Table Features:
Discover Table A sortable, searchable table that lets you explore companies by we have KPI data for. Sorting this table can shed valuable light on what tickers are most interesting to focus on. You can track key metrics like:
Ticker
KPI
Prediction
Prediction YoY: One-year percentage change of our KPI prediction vs last year's respective quarter
Prediction QoQ: One-quarter percentage change of our KPI prediction vs last quarter's respective actual
Revision Increase: Revision change, up or down from our last prediction. Predictions are updated and revised with incoming data weekly throughout the quarter. Once, we make a revision, it is solidified and set in stone.
KPI Tag Tickers tagged with KPI are companies for which TickerTrends tracks structured operational metrics from public filings. These include metrics like users, volume, bookings, subscribers, and more, matched with real-time web and social indicators.
The KPI Dashboard is a valuable tool for identifying early-stage momentum, validating investment ideas, and tracking theme-based trends across sectors. You can filter by country, sector, or time frame, and dig deeper into any name that stands out.
Explore it live inside the TickerTrends platform or contact us at admin@tickertrends.io to learn how to use the KPI Dashboard as part of your workflow.