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What is different about HtAG’s services in comparison to similar services of other market players is that HtAG eliminates the complexity and thus reduces margin for error in its data analysis. At HtAG, we divorce the analysis of causality between fundamental market variables such as population and unemployment and property price changes.

HtAG algorithm uses the real time recorded property sales data as an input for producing property price predictions and highlighting any future changes in property prices. Our model has the capacity to predict property prices with an accuracy well above that of our competitors.

Another way HtAG aims to improve clients’ decision making is by ranking geographical locations based on their level of activity or ‘heat’. We provide a geographical scatter plot that demonstrates a level of activity in a particular location within a particular timeframe.

Highlighting the percentage change cycles of a particular suburb or LGA, our clients can also asses the long-term investment viability of an area by focusing on what we at HtAG call the ‘above zero’ benchmark – ranking an area that has experienced negative growth in the past as having lower investment appeal.

We forecast property prices at council area and suburb levels in two-year intervals with the second-year predictions being at an average of 90% accuracy. Areas and suburbs are ranked based on their forecast growth and confidence level. Subscribe now and get access to most accurate property market forecasts in Australia.

Did you know that Australian capital cities have up to 14 different localised markets, each with their own distinct property cycles? You need to know your area’s growth potential and current position in cycle before making an investment decision.

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