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    • 3. 发明申请
    • Real-time adaptive moduluar risk management trading system for professional equity traders
    • 专业股权交易员实时自适应模块风险管理交易系统
    • US20060080211A1
    • 2006-04-13
    • US10961553
    • 2004-10-08
    • Timothy AndersonMark Mooney
    • Timothy AndersonMark Mooney
    • G06Q40/00
    • G06Q40/06G06Q40/04
    • The present invention provides traders with a real-time fed computer-based system for trading commodities based on a traders risk profile, particularly equities, by providing a careful selection of the data to analyze and selecting the correct manipulation of that data. The invention uses the initially selected data components or factors, by manipulating them with operators, or asset specific mathematical functions, a fuzzy or Baeysian advisors helps to assist in the genetic learning of the system by being rewards and punished based on the correlation to success and failure, and overlay advisors, or meta-advisors as they are implemented in the present invention. The invention provides several control or monitoring layers which can exit and recommend immediate action or adjust the neural-based computational processes, such as iteration, based on criteria in the interpreted “multiplexed” real-time data or a discovered neural relationship.
    • 本发明通过提供对数据的仔细选择来分析和选择对该数据的正确操纵,为交易者提供了一种基于交易者风险状况特别是股票的用于交易商品的实时计算机系统。 本发明使用初始选择的数据组件或因素,通过用操作者操纵它们或具有资产特定的数学功能,模糊或者贝耶斯顾问通过基于与成功的相关性进行奖励和惩罚来帮助系统的遗传学习, 故障,覆盖顾问或元顾问,因为它们在本发明中被实现。 本发明提供了若干控制或监测层,其可以基于解释的“复用”实时数据中的标准或所发现的神经关系,退出并推荐立即行动或调整基于神经的计算过程,例如迭代。
    • 5. 发明申请
    • REAL-TIME RISK MANAGEMENT TRADING SYSTEM FOR PROFESSIONAL EQUITY TRADERS WITH ADAPTIVE CONTINGENCY NOTIFICATION
    • 具有自适应性通知的专业性交易员的实时风险管理交易系统
    • US20060047590A1
    • 2006-03-02
    • US10904787
    • 2004-11-29
    • Timothy AndersonMark Mooney
    • Timothy AndersonMark Mooney
    • G06Q40/00
    • G06Q40/06G06Q40/00
    • The present invention provides traders with a computer-based neural analysis system for trading commodities based on a traders risk profile, particularly equities, by providing a careful selection of the data to analyze and selecting the correct manipulation of that data. The neural analysis component uses initially selected data components or factors, by manipulating them with operators, or asset specific mathematical functions, a fuzzy or Bayesian advisors help to assist in the genetic learning of the system by being reward and punishment based on the correlation to success and failure, or meta-advisors. A contingency notification system implemented either internally or externally examines the real-time data feed to determine if conditions are such that the trader should be notified that conditions have been met, such that the risk profile requires an immediate action.
    • 本发明通过提供仔细选择的数据来分析和选择对该数据的正确操纵,为交易者提供了基于计算机的神经分析系统,用于基于商人风险特征,特别是股票交易商品。 神经分析组件使用最初选择的数据组件或因素,通过操作员操作它们或资产特定的数学函数,模糊或贝叶斯顾问通过基于与成功的相关性的奖励和惩罚来帮助系统的遗传学习 和失败,或元顾问。 在内部或外部实施的应急通知系统检查实时数据馈送,以确定条件是否应当通知交易者已经满足条件,使得风险简档需要立即采取行动。