I met a lot of cool people there.

To anyone who engages in wholesaling,I spoke with a real estate group recently that knew that I work in the data field.

@Mark Przybysz,Wholesalers will scrub data against DNC and Litigators list.

Look at your local MLS (even Zillow) data and calculate what rent-ready houses have rented out for in the past six months and use that for your rent percentage. 

Idaho is a “non disclosure state”, so many of the list sources that scrape data cannot find good data to source from. 

I retired at 34 from my job as a data scientist (to be fully transparent, I still managed my properties which averaged 5-10 hours a month).

Not only does the data suggest a very low likelihood of the housing market collapsing, but in-action is not going to lead to results.Now, an important question: why might people not choose to act?

It includes, among other things, a comprehensive map of the Cleveland area, grading each tract from A+ down to F, with a consistent, objective and transparent methodology using publicly available data rather than a broad-brush subjective approach.

For example, we can extract the Reviews data from review emails, Reservation data from New Reservation emails, Payout data from various Payout emails and then feed it into other apps or databases. 

What you can do is gather all the income and expense numbers that you can from all the data sources that you can, subtract your expenses from your potential income, and if the number at the end of the formula is one that makes enough sense for you to make that down payment, then there is your answer.