# KPI Tracker The TickerTrends KPI Tracker is a real-time investor research platform built to help users monitor and predict key performance indicators that drive stock performance. Designed for hedge funds, institutional analysts, and retail traders, the platform enables users to predict earnings with KPI data and identify trends that move stocks ahead of earnings calls. TickerTrends automatically extracts structured KPI data from SEC filings like 10-Ks and 10-Qs, including metrics such as active users, bookings, gross merchandise volume, same-store sales, and other operational benchmarks. This data is then combined with alternative data sources like Google Search trends, Amazon keyword volume, app store rankings, and Reddit activity. The result is a comprehensive view of historical and forward-looking stock KPI trends, all done automatically for users to easily visualize predictions. With the KPI Tracker, investors can quickly compare companies, spot anomalies in demand, and understand the real drivers of revenue growth or deceleration. This is especially powerful for consumer-facing businesses where early signals of demand often appear in search behavior, app downloads, or online conversations before showing up in earnings reports. The KPI Tracker gives investors the ability to validate investment theses using both financial and behavioral data in a single view. By combining historical data with real-time alternative data indicators, users gain a data-driven advantage in forecasting results and making timely decisions. You can explore the full platform at [tickertrends.io/kpi-tracker](https://tickertrends.io/kpi-tracker) and see how stock KPI trends can be tracked and predicted with precision. --- # Agent Instructions: 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/add-ons/kpi-tracker.md?ask= ``` 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.