About
Institutional-grade market signals, without the institutional budget
LocalAlpha turns public data into a 0–100 Alpha Score for U.S. metros, counties and ZIP codes. It surfaces emerging real estate markets before they're obvious, without an institutional research budget.
How does the Alpha Score work?
Metros, counties and ZIP codes get a nightly Alpha Score; city pages show market data but no score, because too little public data reaches city level. 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 data: the U.S. Census, BLS, QCEW, FHFA and FRED. Market data from Redfin and Zillow appears on market pages for context and does not feed the Alpha Score; HUD and IRS migration data are used elsewhere on the platform and do not feed it either.
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?
The Alpha Score runs on public series you can check; Redfin and Zillow market data sits beside it for context. The full scoring methodology is documented openly, so you can audit how every number is produced.
Who's behind it?
LocalAlpha was built by Brian Pawl, who spent fifteen years in institutional real estate learning what actually separates a profitable market from a value trap. As Director of Asset Management at operators like Pangea Properties and CYM Living, Brian managed the financial performance of more than 19,000 apartment units and $175M+ in operating budgets, and built the SQL data models and BI systems that ran it all. Today he's Director of Business Intelligence at Rent Butter.
LocalAlpha is that institutional playbook, automated: the same fundamentals a research desk watches — momentum, inventory, affordability, economic strength, rental yield — scored the same way every night, for U.S. metros, counties and ZIP codes, so an individual investor gets the read without the research desk.