> 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/~/revisions/S1f5fytN4zp0rB4IMA1c/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/tickertrends-proprietary-trend-values.md).

# TickerTrends Proprietary Trend Values

**Alt-Data Momentum Score**: The Alt-Data Momentum Score introduces a sophisticated weighting system on relevant company keywords internally calculated by TickerTrends. It is meant to display the strength of a company's revenue potential. This lets users very quickly get a general overview of the trend strength of a company, allowing for a vast array of ticker analysis. The amalgamation of TickerTrends' tracked digital alternative data sources generates this trend meant to track topline sales for tickers. A sharp move upward or lower could indicate significant changes in many underlying individial data source keywords relating to that ticker.  

<figure><img src="/files/dNMR8cBYJZwEV43ycTMB" alt=""><figcaption></figcaption></figure>

**Whisper Expectation Trend**: The Whisper Expectation Trend establishes our best model of **hidden earnings expectations** embedded in a stock. This proprietary trend helps investors gauge true sentiment of a company going into their earnings reports and is available to view on the "**Earnings**" tab of the KPI page. A high Whisper value (>80) tends to indicate that investor expectations are red hot going into an earnings report, whereas a low Whisper value (<20) indicates that a lot of fear or uncertainty might be baked in.&#x20;

<figure><img src="/files/Fm7CRkWXKyipIe2tVujE" alt=""><figcaption></figcaption></figure>

**Investor News Sentiment**: News sentiment tracked over a trailing context window, showing shifts in bullish, neutral, or bearish coverage of a company, with 2 years of history. The y-axis is a unitless value, meant to indicate the share of news articles that were of each sentiment type (positive, neutral, or negative).&#x20;

<figure><img src="/files/FVnzblvTU8ATImDziCHG" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.tickertrends.io/tickertrends/~/revisions/S1f5fytN4zp0rB4IMA1c/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/tickertrends-proprietary-trend-values.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.