> 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/kpi-forecasts.md).

# KPI Forecasts

<figure><img src="/files/KDhow8Nr0yZWcc00tTJu" alt=""><figcaption></figcaption></figure>

The **Forecasts** tab is the most modeled view in the platform.

It surfaces KPI forecasts with consensus context and revision signals so users can quickly find names where internal estimates diverge from the market.

#### What it shows

Each row centers on a company KPI and includes:

* The **ticker** and tracked KPI
* Any detected **catalyst**
* A **revision sparkline**
* **Vs Consensus**
* **Avg MOE**
* **Awareness Momentum**
* **Consideration Momentum**
* **Action Momentum**
* **Forecast Revision**

Catalyst rows also show useful metadata such as:

* Catalyst category
* Impacted KPI
* Estimated impact type
* Expected **horizon**

This helps users separate names with a forecast change from names with a specific narrative driver behind that change.

#### Prediction versus consensus

TickerTrends forecasts are designed to identify divergences between underlying business momentum and what the market appears to expect.

Each forecast is compared against visible Street consensus so users can quickly judge:

* Potential beat or miss setup
* Magnitude of divergence
* Direction of recent revisions

This makes the screen useful for both idea generation and earnings prep.

#### Forecast revisions

Forecasts update on a fixed weekly cadence as new alternative data arrives.

Every revision is stored historically. Past values are not overwritten.

This gives users a clean revision trail and lets them review:

* How the forecast changed through the quarter
* Whether the estimate is rising or falling now
* How prior revisions tracked versus reported results

#### Revisions queue

Forecasts are published on a scheduled weekly cycle.

That cadence matters because it gives users a predictable revision queue. Analysts know when fresh model outputs are likely to appear and can compare week-over-week changes in a structured way.

#### Error measurement

TickerTrends shows forecast uncertainty directly in the screener.

The most visible measure is **Avg MOE**. This helps users judge how much confidence to place on a signal before drilling deeper.

Where relevant, users can review central estimates and error ranges to understand whether a setup is narrow and precise or broader and more directional.

#### Forecast shortcuts

The tab includes quick presets such as:

* **Expected to Beat**
* **Expected to Miss**
* **Rising Forecasts**
* **Falling Forecasts**
* **Top Catalyst (Consumer)**
* **Top Catalyst (TMT)**
* **Awareness Increasing**
* **Action Increasing**

These let users jump directly into common workflows without building each screen from scratch.

### Breadth of coverage

TickerTrends maintains broad KPI and tracker coverage across sectors, geographies, and market caps.

Coverage includes revenue, bookings, DAUs, segment KPIs, product-level trackers, and other business metrics that move stocks.

We currently maintain:

* **900+ unique KPI forecasts**
* **1,000+ global tickers** with tracker coverage
* Raw data coverage across **tens of thousands of tickers and keywords**

Coverage continues to expand each quarter.

For the complete KPI coverage list, margin-of-error detail, and tracker coverage list, email **<admin@tickertrends.io>**.