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23 June 2017 | 6 replies
X-Amz-Expires=601200&X-Amz-Date=20170623T140223Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAJ2DXENEECSJVAAQA/20170623/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=476548f63afd02c244b7c35affbd7f1004a5707b518bd544055692288464b462
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30 June 2017 | 1 reply
The best investment these institutions can make is seeking out and contracting with firms like ours to acquire high-quality assets matching the algorithms and matrices each company needs.The institutional business of owning rental houses is here to stay.
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7 June 2017 | 8 replies
For the most part (generalizing here) the assessments are based on a computer algorithm.
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5 October 2017 | 8 replies
They have an algorithm that tells you the best companies to apply for to gain credit and they help you navigate to find the best ones.
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28 May 2017 | 6 replies
and much less algorithmic than residential.
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29 November 2016 | 1 reply
This is backed economists and algorithms and crazy calculations I do not understand haha.Thanks all!!
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8 January 2017 | 7 replies
I can't remove "dogs negotiable" from the source listing, since that is used in the algorithm that asks potential tenants who want a showing our prescreening questions, if I remove it the algorithm will block anyone that has a dog from a showing.
9 January 2017 | 4 replies
It's true you can get "home values" through Zillow and Trulia, but their data is coming from either public record, or their algorithms.
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15 October 2019 | 32 replies
Either something quirky with their algorithm of bad data entered into the MLS.
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21 July 2017 | 4 replies
There are real estate technology software companies out there that run analytics on MLS data to track trends, and even some that use algorithms to find deals.