Owners.com Launches The Trend Tracker Tool™ -- Data Rich Maps Displaying Real Estate Market Trends
June 25, 2015
Dynamic maps provide historical and forecasted property value trends in over 5,500 local markets across the country
LUXEMBOURG – June 25, 2015 – Owners.com, the leading marketplace for self-directed real estate, announces the launch of The Trend Tracker Tool™, a powerful data source for home sellers and buyers to evaluate and analyze neighborhood and regional pricing trends to make smarter decisions with their home purchase or sale. The Trend Tracker Tool is made possible by an exclusive partnership with Weiss Residential Research, founded by Allan N. Weiss, the co-founder of Case Shiller Weiss, the company which created the widely used Case-Shiller Home Price Indexes.
The Trend Tracker Tool provides animated maps that play in a movie-like fashion. Each map shows a neighborhood’s value changing over time using red and green dots to portray a snapshot of the market. Showing up to ten years of trend history and forecasting a year into the future, these maps can help sellers determine whether to sell their property and buyers to determine whether buying in a particular neighborhood makes sense.
“Knowledge is power, especially when it comes to buying or selling a home. For too long, consumers have been flying blind relative to past and future property value trends. These maps let consumers visualize neighborhood valuation trends so they can make well-informed, data-driven decisions,” said Steve Udelson, President of Owners.com.
Instead of trying to decipher pricing trends on their own by relying on local knowledge or word of mouth or using data that only represents one point in time, self-directed home buyers and sellers can visit Owners.com and use The Trend Tracker Tool to help answer questions such as:
- What are the best towns to buy in now? What are the towns to avoid?
- Which neighborhoods offer the best investment opportunities?
- Are declining values or increasing values in store for my house?
- Which streets and areas of town fared better during the crash? Which are rising fastest now?
“Using The Trend Tracker Tool and its animated maps, consumers can intuitively understand historical and forecasted price trends in regional and local markets – something that has never before been possible,” said Allan N. Weiss, Founder and Chief Executive Officer of Weiss Residential Research. “We are able to offer these revolutionary dynamic maps because of the recent advances in big data computing power, predictive analytics and our novel way of applying these tools.”
The Trend Tracker Tool adds to Owners.com’s wide range of services that consumers can access as they choose, including assistance with home pricing, securing MLS listings, home showings, negotiations and assistance with paperwork and closing.
Owners.com is a top 10 real estate brokerage that provides self-directed consumers with a full menu of real estate services to choose from. Owners.com makes real estate transactions more affordable for consumers because they only pay for the services they need. Founded in 1996, Owners.com has helped over 400,000 consumers sell and buy homes and save nearly $2 billion in selling expenses. Owners.com is part of the Altisource Portfolio Solutions S.A. family of businesses. Additional information is available at owners.com, facebook.com/ownerscom and twitter.com/ownersdotcom.
Altisource Portfolio Solutions S.A. is a premier marketplace and transaction solutions provider for the real estate, mortgage and consumer-debt industries. Altisource’s proprietary business processes, vendor and electronic payment management software and behavioral science-based analytics improve outcomes for marketplace participants. Altisource has been named to Fortune’s fastest growing global companies two years in a row. Additional information is available at altisource.com.
About Weiss Residential Research
Weiss Residential Research LLC produces uniquely granular home price indexes and forecasts for use in investment decisions, portfolio management and modeling engines. WRR analytics are created through the use of Big Data techniques, novel algorithms and by harnessing massively parallel computing power.