> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/3.-unified-screener-kpi-forecasts-trackers-data-source-kpis-exploding-trends-upcoming-earnings/data-source-kpis.md).

# Data Source KPIs

The **Data Source KPIs** tab is the least modeled company-level view.

It shows the raw underlying alternative data signals driving a company screen, alongside a lightweight composite score.

This is the best place to go when you want to look under the hood.

#### What it shows

Typical columns include:

* **Composite**
* **Web YoY**
* **Google YoY**
* **Instagram YoY**
* **YouTube YoY**
* **TikTok YoY**
* **iOS US YoY**
* **Android US YoY**
* **Android Global YoY**
* **Subreddit Posts YoY**

Not every row uses every data source. The screen is designed to show whatever is available and relevant for that company.

<figure><img src="/files/TiYaR1Gdlduq3EbhRUTv" alt=""><figcaption></figcaption></figure>

#### How to use it

Use this tab when you want to:

* Validate why a tracker looks strong
* See which raw sources are contributing most
* Compare modeled outputs against raw digital signals
* Separate broad strength from single-source noise

#### Shortcuts

Common presets include:

* **Strongest Composite**
* **Weakest Composite**
* **Price Up**
* **Price Down**

This makes it easy to sort raw data performance against market action.
