If you ran a large book through 2025’s volatility, you probably spent more time on the phone than in the market.

“Are you down? We’re off 3%.”

Most of those calls were really a fishing expedition for: "what exposure did I miss?" and "does everyone have it, or just me?" The uncomfortable truth is that, outside of a handful of slow-moving style boxes, few managers can answer that question with conviction.

Traditional factor models were designed for a different era. MSCI’s style, industry, and macro factors do a respectable job explaining pre-2020-era performance drivers, but they struggle to keep pace with the meme-speed economics that now push risk on and off balance sheets overnight.

Hivemind: The Gen-AI Trend & Exposure Engine

Hivemind, ForecastOS’s new exposure functionality, was built precisely for that blind spot.

Under the hood, Hivemind is a generative-AI engine that turns unstructured data firehoses (podcasts, filings, etc.) into clean, point-in-time factors.

Instead of forcing your book into a static factor coffin, Hivemind lets you explore emergent trends...

quantify trend movement...

and define what exposure matters...

Want to know which holdings are truly tariff-sensitive, or how exposed you are to rising inflation?

Describe the concept once and Hivemind scores every name in your universe, as frequently as every day. Those bespoke exposures flow straight into your risk, performance-attribution, or signal pipelines in minutes, not months.

30 Second Case Study: Inflation Shock

When a U.S. hedge fund needed to attribute performance and dampen volatility from shifting rates and inflation rhetoric, they couldn't find a dataset that captured which equities in their ~3,000 company universe were actually at risk.

Hivemind made this inflation attribution for their universe in a single pass: ingest point-in-time data, then output a ready-to-model “inflation exposure” factor that re-scores companies whenever the conversation changes.

Hivemind: From “What Happened?” to “What’s Next?”

Because Hivemind is point-in-time, you can replay exposures exactly as they were understood before the print.

Tie that to ForecastOS Canary and you get live alerts: when a theme you care about bubbles up, when new market-relevant risk factors start to form, or when an assumption your strategy leans on starts to wobble.

Instead of discovering the driver after the drawdown, you see it forming, quantifiable, in advance.

A quick list of noteworthy trends Hivemind identified from point-in-time data in advance of market movement:

• COVID-19
• ZIRP era inflation
• Middle-eastern conflict and Iran strike
• Russia-Ukraine conflict
• AI / Generative AI (as an emerging trend and investment theme)
• Medicaid and Medicare cuts

Hivemind: Why It Matters Now

Macro is fragmenting, information velocity is compounding, and “risk-off” is no longer a single switch.

In that landscape, edge comes from knowing which narratives are breaking out, and when - before the spreadsheet says so. Hivemind lets your team retire the phone-tag post-mortems and deploy capital with a live, quantifiable map of what’s really moving your portfolio.

We built Hivemind to make every line item as transparent as your best-researched theme - so you can stop guessing at exposures and start engineering them!

Creating a Macro Investment Strategy Overlay with Hivemind

Speaking of engineering exposures, check out our below demo to see how you can use Hivemind to create an S&P 500 macro strategy overlay for your portfolio with:

• 2.5% excess return annualized
• 1.0x information ratio
• 3.4x one-way turnover
• ~50% target active weight vs benchmark

For trial access: [email protected]

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A Closing Thought

Timing (macro / thematic) trends in the market is largely considered to be a fool's errand... but we believe it's a complicated (but possible) data and analytics problem.

The problem, at its core, consists of:

• Identifying trends (via quantifying what everyone thinks at each point-in-time), and
• Generating associated company exposures (i.e. quantifying which companies are impacted positively and negatively).

Hivemind is our solution to this data and analytics problem. We're excited to see what you do with it!