About
Institutional-grade market signals, without the institutional budget
LocalAlpha turns public government and market data into a 0–100 Alpha Score for every U.S. metro, county, ZIP, and city. It surfaces emerging real estate markets before they're obvious, without an institutional research budget.
How does the Alpha Score work?
Every metro, county, ZIP, and city gets a nightly Alpha Score. It's built from five weighted dimensions: price momentum, inventory health, affordability, economic strength, and rental yield. Each is percentile-ranked against peer geographies of the same type.
The inputs are public, citable sources: Redfin, FRED, BLS, Census, FHFA, QCEW, HUD, and IRS migration data.
The deeper read adds Market Phase, which shows where a market sits in its cycle and where it's heading, plus momentum, net-migration reads, and anomaly flags. That turns a snapshot into a trajectory.
Why does LocalAlpha exist?
The data that signals where a market is heading has always been public. The catch is that it's scattered across a dozen government feeds, on different cadences, in formats nobody wants to wrangle.
Institutions pay research desks to assemble it. LocalAlpha does that assembly automatically and scores it the same way every night, so an individual investor or a small firm gets the same caliber of read without the headcount.
What's it built on?
LocalAlpha runs entirely on public, citable data, and the full scoring methodology is documented openly. You can audit how every number is produced.