The Old Rules Don’t Apply.

Real Time Asset Answers

Altos Research provides richer analysis by watching the active markets to understand the local market.

While models that predict portfolio behavior have become more sophisticated, they often lack the real-time local housing market insight necessary to understand risk during from valuation to due diligence through disposition. Our real-time local housing market data optimize models to reveal risk, improve bidding and price right at disposition.

Mitigate Trading Risk

Models that include real time local housing market data project the impact of local housing trends to determine default likelihood and provide a more comprehensive picture of loss severity risk. AltosEvaluate’s price-based model evaluates the price of each property against other properties in the same local market, while the time-based model evaluates each property according to the amount of time it has been on the market relative to other properties in the local market.
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Improve Bidding Strategy

Listing Intel℠ provides a comprehensive, real-time report of all properties currently for sale right for insight into how a subject property fits into the market as a whole, allowing you to quickly identify undervalued assets.
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Validate Valuations

Bring to Current℠ will bring an original valuation forward to the current market so you can understand the collateral relative to the active local housing market for accurate asset-specific valuations.
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Forecast future value

Our proprietary Forward Valuation Model is the first technology of its kind to apply advanced machine learning forecasting methodology to a vast, real-time, local market conditions data platform with leading indicators, and market psychology signals to forecast individual asset or portfolio value 3-, 6-, and 12 Forecast individual asset or portfolio value 3-, 6-, and 12 months ahead with the most sophisticated data models built using real-time local market housing data, leading indicators, and market psychology signals.
 
 

Powerful, don’t you agree?

There’s so much to explain, we’d rather do it in person.

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