Advan Research Corporation, the leading geolocation data provider for the financial industry, released AlphaLoc™, its Machine Learning algorithm-driven revenue forecasts. The AlphaLoc Out Of Sample results improve mean analyst revenue expectations 70% of the time in the past 4 quarters, while its median forecasting error is 2%. AlphaLoc is available in the Advan Dashboard (GUI), in the Advan Excel® function, and in daily data feeds. "We are excited to round up our product suite with a truly turn-key tool for the financial analysts and portfolio managers, where with a single-click they can get market-beating forecasts. Combined with our coverage of 1,700 tickers and custom-location analytics, this truly demonstrates the power and breadth of geolocation data," said Yiannis Tsiounis, Ph.D., Advan's founder and CEO. AlphaLoc was made possible with the help of George Zavaliagkos, Ph.D., an expert in speech recognition and machine learning, who has supervised Amazon Alexa©'s cloud Machine Learning models and was the founder of Parametros Trading, a High Frequency Trading company. "This new era of Alternative Data stands to benefit significantly from the application of proven Machine Learning techniques, as they help materialize the intuition that analytics companies like Advan have already amassed about the underlying data and its intricacies," said George. "We have seen material and consistent improvements over rule-based and simple regression methods and are working to add Advan's cross-traffic and demographic features in future models to further improve the performance".
