The type of analysis I run is a modified risk adjusted return analysis based on an analytical technique taught to be in an advanced finance class by a Professor long since retired.  

Hi William, the same way most wholesalers skip trace owners data, you can do the same for cash buyers.

I've heard/had good results with more targeted driving for dollars looking for distress, or to some other comments points here, look for other data points to isolate "needs" to sell rather than "wants".

You previously mentioned “The analysis performed is exhaustive.

So, you either need to plan the repairs into your operating expenses so when it's time to repair/replace something you're prepared or you need to repair/upgrade at your entrance in order to put much less away per month for CapEx.If you need a CapEx calculator or a cash flow analysis calculator check InvestingTE.

Another month, another solid report on the housing data, provided by Altos Research.

Here’s how they approached it:1.Scraping Listings: They used web scraping tools like Beautiful Soup and GPT APIs to scan Airbnb for properties in their target areas.2.Image Analysis: They trained an AI model to analyse listing photos, identifying homes with solid potential (good structure, layout, location) that were undervalued due to low-quality photos.

Quote from @Denver McClure: Hey @Buck Dabill, if AirDNA isn't giving you quality data, then I would suggest manually scrapping similar properties on the lake via Airbnb, VRBO, and Vacasa.

Depends on what kind of data Code Enforcement: county Foreclosure: county Probate: propstream 

I tried to broaden my data but it pulled in sooooo much crap.