Hivemind persistent trends, or trends aggregated by similarity across time, are designed to capture narratives that remain relevant over time.
They reduce short-term noise and emphasize trends that exhibit consistency, stability, and persistence across market cycles.
Persistent trends are available in the ForecastOS UI, where users can compare persistent and raw trends, visualize long-run narratives, and evaluate trend durability through time.

Hivemind persistent trends are accessible through the ForecastOS API for systematic research and portfolio workflows.
Endpoint details are available to clients with API access.
The open-source ForecastOS Python library includes utilities to retrieve persistent trend data and apply common transformations.
Persistent trend construction logic and source weighting are handled within the managed Hivemind platform.
Let's explore Hivemind Custom Trends next.