The data is dumped into massive databases and the databases then use logic algorithms to sift and sort and attribute the data.

But the hit was returned based on the inputs and matching algorithms so the best route is to advise the decline, why, and that the applicant can dispute this information (and how).

So, [ rent * 75% - PITI ] is what should be used as the quick screening algorithm. 

I realize there are “100 point checklists” and “proprietary algorithms” but honestly, what do they have that the CMBS lenders don’t have?

Algorithm Alert: State A !

When I searched on K6H 1Y4 with a radius of 25-miles, I get 7 names.If you set your radius larger than 25-miles, you will get names from Ottawa and MTL {the dataset underlaying the search algorithm is a bit {Canadian} geography challenged.

Like I said, I have various partnerships with lots of people on BP.I can only imagine that the algorithm on this will be a complete nightmare to design and implement.

But it is a variable that changes depending upon your overall investing algorithm.  

The only reason that direct MLS access could make sense for me is that I could probably write some software to flag deals automatically based on some algorithms that I could come up with (such as 1% rule, 50% rule, discount to AVM value etc.)

All this information can be plugged into an algorithm and bam, people start getting letters from the IRS.