Predata, Inc.

Kensho Technologies, LLC

Daniel Nadler

Andrew Yujin Choi

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A system and method for generating predictions of geopolitical events is provided. Predictions may be generated by retrieving relevant metadata associated with a content item and evaluating one or more signals representative of the same.

System and method for generating predictions of geopolitical events

Techniques for prediction of financial instrument returns, identifying statistical history, the discovery of pricing anomalies, and financial instrument visualization are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for identifying financial instrument returns and pricing anomalies including matching, using at least one computer processor one or more portions of current market data associated with a financial instrument with historical market data, averaging outcomes of matched historical market data, and providing a probabilistic outcome for financial instrument returns, pricing anomalies, or other metrics based on the matched historical market data and the current market data. Techniques for financial instrument analysis may also include processing event data, correlating the event data using a large volume of historical market data to identify a predicted impact on returns of a financial instrument and/or pricing anomalies, and presenting the predicted impact to a user (e.g., in near real time).

Searching pre-generated data structures for event impact discovery

A system and method for generating predictions of geopolitical events is provided. Predictions may be generated by retrieving relevant metadata associated with a content item and assessing a plurality of signals representative of the same. The plurality of signals may be comprised of a contestation signal based on a first parameter extracted from the retrieved metadata, an activity signal based on a second parameter extracted from the retrieved metadata, and a composite signal that is a function of the contestation signal and the activity signal.

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Cambridge, MA, United States of America

Daniel Nadler