For calculating ARV, platforms like Zestimate, PropStream, and Reonomy use machine learning to analyze market data and comparables.

It’s completely normal to feel nervous before pulling the trigger, but doing a solid market analysis will give you more confidence in your decision.

While rate cuts were initially expected in early 2024, recent economic data suggests the Fed may keep its policy restrictive for longer.•30-Year Fixed Mortgage Rate: 7.10%•15-Year Fixed Mortgage Rate: 7.35%•Fed Funds Rate: 5.25% - 5.50%•10-Year Treasury Yield: 4.45%•Housing Inventory: 632,000 active listings (33% with price reductions)With home affordability still a concern, any shift in rate expectations could have a major impact on both buyer demand and investor financing conditions.What Analysts Expect from This Week’s DataCPI Inflation Report (Tuesday, February 13)The Consumer Price Index (CPI) measures changes in the cost of goods and services, serving as a key indicator of inflation.

In an accompanying video, I also pointed out that Utah had the highest population growth from new births (see the heatmap above, courtesy of Pew Research Center’s analysis of Census data).Metros along the Wasatch Front, such as Salt Lake City, UT; Provo, UT; and Ogden, UT continue to see strong job growth, low vacancy rates, and relatively high price appreciation.

Research, advertising, and I'll run deal analysis.

Anybody has the historic yearly appreciation data on storefront retail spaces in mixed-use (with hundreds of residential spaces above) commercial real estate? 

I’m particularly interested in exploring strategies for acquiring and managing multi-family properties, as well as understanding how to leverage technology and data analysis to make informed investment decisions.

Knowing the data in Dallas does not mean one knows the data in Charlotte.  

Try AI resources like Chatgpt and Gemeni, you will have to feed your data and assumptions and they will both do wonders.  

There are always opportunity on the MLS....properties that are listed/categorized incorrectly....properties that rely on public record square footage that is not accurate but the broker is too lazy to verify and simply relies on the autofill data, properties that have base zoning that allows for a better use, properties with unique characteristics that are not properly detailed in the marketing information, properties that are simply listed over priced and become stale and are good negotiation opportunities.