Invention Grant
- Patent Title: Stock ranking predictions based on neighborhood model
- Patent Title (中): 基于社区模型的股票排名预测
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Application No.: US14016855Application Date: 2013-09-03
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Publication No.: US08666877B2Publication Date: 2014-03-04
- Inventor: Piyush Kumar , Rajat Raychaudhuri
- Applicant: The Florida State University Research Foundation, Inc.
- Applicant Address: US FL Tallahassee
- Assignee: The Florida State University Research Foundation, Inc.
- Current Assignee: The Florida State University Research Foundation, Inc.
- Current Assignee Address: US FL Tallahassee
- Agency: Smith & Hopen, P. A.
- Agent Nicholas Pfeifer
- Main IPC: G06Q40/00
- IPC: G06Q40/00
Abstract:
A system and method of aggregating and predicting stock ranking stocks. The novel system and method uses a neighborhood model to aggregate a plurality of “neighboring” or related stocks having similar pricing trends. The system and method then uses a ranking optimization method to predict the ranking of each stock based on percentage change in price. The current invention facilitates investors trading by using a novel methodology to predict stock rankings and providing a neighborhood of related stocks, while having an easy-to-use interface.
Public/Granted literature
- US20140006313A1 STOCK RANKING PREDICTIONS BASED ON NEIGHBORHOOD MODEL Public/Granted day:2014-01-02
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