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Predictive data analysis of stocks

机译:股票预测数据分析

摘要

Provided is a self-correcting stock price movement predictor built with Artificial Intelligence (AI) techniques that are for empirical data and represent trends on a particular day for an identified stock. Robots, Internet bots, and so forth, are used to source events in real time in the World Wide Web and which may have a potential impact on the movement of the stock. When the web is spidered (or browsed), a device is able to capture the data, which might have an impact on the stock. The data may be structured and ranked using various techniques, including AI techniques. These techniques are applied in order to predict the stock behavior and the movement of that particular stock. An output of the tool is provided to automatically determine an action to take relative to an identified stock.
机译:提供了一种用人工智能(AI)技术构建的自我纠正股票价格移动预测因素,用于经验数据,代表特定日的趋势。机器人,互联网机器人等,用于在万维网中实时源的事件,这可能对库存的运动产生潜在的影响。当捕获网页(或浏览)时,设备能够捕获可能对库存产生影响的数据。数据可以结构化并使用各种技术进行排序,包括AI技术。应用这些技术以预测库存行为和这种特定库存的运动。提供工具的输出以自动确定相对于识别的库存采取的动作。

著录项

  • 公开/公告号US10963799B1

    专利类型

  • 公开/公告日2021-03-30

    原文格式PDF

  • 申请/专利权人 WELLS FARGO BANK N.A.;

    申请/专利号US201715588106

  • 申请日2017-05-05

  • 分类号G06N5/04;G06Q40/04;G06N20;G06F16/245;

  • 国家 US

  • 入库时间 2022-08-24 17:58:10

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