Hivemind: Company Exposures

What Are Hivemind Company Exposures?

Hivemind company exposures measure how strongly each company is associated with specific trends, narratives, or themes at a given point in time. They map any custom-defined exposure onto individual securities, producing cross-sectional exposure scores that can be used for risk analysis, attribution, portfolio construction, and alpha.

UI Access

Company exposures can be explored, created, customized, and downloaded in the ForecastOS UI, where users can analyze exposures by company, sector, or market portfolio and monitor how exposures have evolved throughout time.

Open-Source and API Access

Hivemind company exposures are accessible via the open-source forecastos Python library through the Exposure class.

This class retrieves point-in-time company exposure data from the ForecastOS API and provides helpers to merge, normalize, and transform exposures for research and portfolio workflows.

Example: Fetching Exposures

import forecastos as fos

# Fetch PIT exposure df
df_exposure = fos.Exposure.get_df(id=123)

This returns a time-series DataFrame containing company-level exposure scores.

Next: Hivemind Custom Pipelines

Let's explore Hivemind Custom Pipelines next.