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This project aims at creating an investment device to help investorsdetermine which real estate units have a higher return to investment in Madrid.To do so, we gather data from Idealista.com, a real estate web-page withmillions of real estate units across Spain, Italy and Portugal. In thispreliminary version, we present the road map on how we gather the data;descriptive statistics of the 8,121 real estate units gathered (rental andsale); build a return index based on the difference in prices of rental andsale units(per neighbourhood and size) and introduce machine learningalgorithms for rental real estate price prediction.

Developing a real estate yield investment deviceusing granular data and machine learning