About HTM for Stocks
HTM for Stocks monitors stock price, stock volume and Twitter volume for about 200 large cap, U.S. companies and alerts you if something unusual is happening. Results are ranked by the most anomalous to enable you to quickly determine what is important.
This application is a demonstration of Numenta Hierarchical Temporal Memory (HTM) technology. The HTM technology automatically learns models for each metric and each stock. The models then predict the next data point and, when the next input arrives, highlight anomalies. Numenta has made the source code for HTM for Stocks available (https://github.com/numenta/numenta-apps) alongside the NuPIC open source project (www.numenta.org) to encourage others to create new and derivative products.
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