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AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems

机译:基于AI的实时预测引擎装置,方法和系统

摘要

The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.
机译:基于AI的实时预测引擎装置,方法和系统(“AIRTPE”)将机器学习训练输入转换,通过AIRTPE组件订购放置输入输入到机器学习训练输出,订单放置输出,信息泄漏警报输出。获得与安全标识符相关联的订单放置数据结构。确定安全标识符的订单放置分配。第一阶的订单放置请求数据结构被发送到与第一个场地相关联的服务器。获得与第一个场地相关联的一组贸易刻度数据消息。使用使用机器学习技术生成的实时预测逻辑确定每个获得的交易刻度数据消息确定一组推断标签。所选推断标签类型的推断标签被分组成桶。当确定分组的推断标签对应于由第一阶生成的执行数据时,生成信息泄漏警报。

著录项

  • 公开/公告号US2021125277A1

    专利类型

  • 公开/公告日2021-04-29

    原文格式PDF

  • 申请/专利权人 FMR LLC;

    申请/专利号US201916686446

  • 发明设计人 MAN HEI RAYMOND YIM;JOHNNY CHANG;

    申请日2019-11-18

  • 分类号G06Q40/04;G06Q30/06;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 18:25:34

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