Invention Grant
- Patent Title: Methods and apparatus for self-adaptive, learning data analysis
- Patent Title (中): 用于自适应,学习数据分析的方法和装置
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Application No.: US12029056Application Date: 2008-02-11
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Publication No.: US08095447B2Publication Date: 2012-01-10
- Inventor: Christopher R. Stephens
- Applicant: Christopher R. Stephens
- Applicant Address: US AZ Phoenix
- Assignee: Adaptive Technologies, Ltd.
- Current Assignee: Adaptive Technologies, Ltd.
- Current Assignee Address: US AZ Phoenix
- Agency: The Noblitt Group, PLLC
- Main IPC: G06Q40/00
- IPC: G06Q40/00

Abstract:
Methods and apparatus for analyzing financial data generally includes a predictive modeling system. The predictive modeling system may include an artificial agent responsive to an input data set. The artificial agent may produce an estimated data set including a market conditions data set. The market conditions data may include an estimate of at least one of liquidity of a market, strategy of a counterparty, and an effect of information leakage. The artificial agent may determine a predictability value for the estimated data set. The predictive modeling system may also include an agent factory responsive to the input data set. The agent factory may generate an artificial agent in response to the input data set.
Public/Granted literature
- US20100030720A1 METHODS AND APPARATUS FOR SELF-ADAPTIVE, LEARNING DATA ANALYSIS Public/Granted day:2010-02-04
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