If the property was already listed on the MLS, I'd push back on the price relative to the comps.

One thing I’ve always done is focus on the 75th percentile of the rent estimates, as my properties tend to fall into that range (very nice, but small with no amenities).While I think there will always be some manual research involved, the current platforms lack key functionality that could be easily implemented with the available market data and technology.1.Quality Metrics:•Filter comps to match the quality of your rentals.

This deal doesn't meet the 2% or 50% rule of thumb, but it has positive cash flow and is in a growing market, according to the latest 2024 Top 100 data from BP. 

None of this directly relates to landlords reporting rent payments. 

While algorithms can analyze data at scale, real estate isn’t just about numbers—it’s about nuances and the most important component of real estate is understanding its value, and that to me (maybe I am old school) but can only be done by physically visiting and walking the property.So for me, factors like local market conditions, property inspections, and borrower credibility can’t be fully captured in a formula.

Does anyone here have any idea (based on data), if the home prices will be going up or down in 2025?

I went to an event recently & it was so much worse than just than 7 years ago (might be related that Jonathon was his top coach then & trained the other coaches & now Jonathon is not there).McCall is a complete waste of money. 

What data source determines the property class?

Unfortunately, unless you see the underlying financials as well as supporting data for those financials, you do not know whether there actually was cash from operations to pay your distribution or not. 

It offers high accuracy with 80-90%+ correct contact data, which is crucial for reaching homeowners.