FeatureHub: Features

What Are FeatureHub Features?

FeatureHub features are pre-engineered, point-in-time (PIT) investable signals (i.e., features / factors) you can plug directly into research, forecasting, and portfolio construction workflows—without building and maintaining your own data engineering pipeline. Each feature has a stable UUID you reference programmatically.

UI Access

In the ForecastOS UI, FeatureHub → Features is where you browse and select features from the library, typically by:

• searching / filtering to find the signal you want,
• opening a feature to grab its Feature UUID (used for API / Python access), and
• previewing the series before pulling it in.

API Access

ForecastOS exposes FeatureHub programmatic access for clients with access. At a high level, you can expect:

• a way to enumerate / search features (metadata), and
• a way to download a feature’s PIT time series by Feature UUID

Open-Source Access

If you’re using the open-source Python helper library, FeatureHub access is designed to be “one line” once authenticated: you set your API key, then fetch the feature by UUID.

import os, forecastos as fos

fos.api_key = os.environ.get("FORECASTOS_KEY")

df = fos.get_feature_df("97c4fb88-7d1d-4d54-aa3e-4aaac0ba771d")

Next: The Choice Is Yours

What's next is up to you:

• WE RECOMMEND: check out Why InvestOS if you want to check out our open-source portfolio construction and backtesting solution.
• Check out Why Hivemind if you want to dive into our marquee solution.
• Check out Why FeatureHub if you want to explore FeatureHub.
• Check out UI vs API vs Open-Source for thoughts on when the ForecastOS UI is a good vs bad fit vs programmatic access.