Not the same unit, but it can't be predicted.  

The following are a few that comes to mind:(1) Holding cost/s to fix these properties far outweigh the profit the company was going to make after rehab.(2) The turnaround time to fix these properties is untenable due to the shortage of labor costs.(3) The inflated acquisition price, coupled with an extensive long lead time of raw material have exasperated the new supply of new housing inventory.(4) Institutional investors are selling/bailing because of the sentiment of https://tinyurl.com/Shoeshineboyindicator.(5) And last but not least, the AI algorithm has taken into account the above parameters and predicted a bearish outlook for the subject housing market segment.With all of the above in play, what?

Often, management companies have to deal with some "not so great properties" due to buyer's real estate agents lack of knowledge and misleading predictions about the rental performance.

We can only give general predictions and of course most - if not all of us - agree that we have no clue when it will happen.Things such as low interest rates and money printing are only prolonging and worsening the inevitable and they also only muddy the waters on a prediction as to when a crash will occur.

Good credit is important, but with only one year of history, it is hard to predict how he will perform long term.

As you may predict, that is my weakness. 

You can absolutely screen your tenants, but the screening doesn't predict what could happen in the house with 4 strangers in it.  

First off, St Paul has a somewhat neglected housing stock in certain areas which predictable has under market rents and has shown signs of revitalization.

@Ryan Garant Predicting the market is the hardest part!

I know a lot of people use the MLS to find deals but what other sites or software do you guys use or have used to find and predict best places to buy?