Arbitrage Unlocked: A Groundbreaking Discovery in Historical Zoning Data


Arbitrage is being discovered within the realm of historical zoning data. Our latest breakthrough demonstrates the power of algorithmic canvassing and predictive analytics to identify signals for growing trends in the urban landscape. By finding the location of rezoning first-movers and their potential impact on adjacent properties, we can uncover untapped investment opportunities.


Discovering the Formula for Zoning Arbitrage

This journey began with the analysis of zoning changes within a one-mile radius of Regal Riverside Plaza, where our team detected a trend with the potential to reshape the market. In 2020, within a sea of Commercial General (CG) zoned properties stood a solitary mixed-use-urban (MU-U) zoned site. Because it is unlikely for a city to have an isolated zoning use, this anomaly is a signal for a broader transformation.


The Power of Predictive Zoning Analysis

Our predictive zoning analysis has proven its worth. We identified the solitary MU-U site as a result of a rezone, indicating that adjacent CG sites were likely to follow suit. Our projections were spot-on: by 2024, 17 CG properties had transitioned to MU-U zoning, validating our model's ability to anticipate urban densification and growth well in advance of physical developments. These 17 properties are yet to be developed, making this change invisible in any other conventional dataset. This area's growth signals are expected to appear much later in permitting data, construction activity, and population growth. 


Automating Arbitrage through Advanced Algorithms

The real magic of our arbitrage algorithm lies not just in predicting the first signs of zoning change, but in empowering investors to confidently be the second to act. This strategic positioning minimizes the risks associated with pioneering rezoning efforts—such as regulatory delays or market acceptance—while still capturing the substantial benefits of early entry. As these initial zoning changes gradually manifest in broader urban datasets, such as permitting data, construction activity, and ultimately, population growth, the window for high-margin opportunities begins to narrow. Investors can now navigate this transitional phase with foresight and precision, securing a competitive advantage before these shifts become obvious to the market at large.


Author Olivia Ramos
Founder and CEO of Deepblocks, holds master's degrees in Architecture from Columbia University and Real Estate Development from the University of Miami. Her achievements before Deepblocks include designing Big Data navigation software for the Department of Defense's DARPA Innovation House and graduating from Singularity University's Global Solutions and Accelerator programs.