专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08463678B2 Generating method for transaction models with indicators for option 失效
标题翻译：具有选项指标的交易模型的生成方法
公开(公告)号：US08463678B2
公开(公告)日：2013-06-11
申请号：US13197055
申请日：2011-08-03
申请人： Chao-Hung Chang , Yen-Tseng Hsu , Jerome Yeh , Po-Lin Yeh , Yu-Tung Lin
发明人： Chao-Hung Chang , Yen-Tseng Hsu , Jerome Yeh , Po-Lin Yeh , Yu-Tung Lin
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06
摘要： The invention is to provide a generating method for transaction models with indicators for option. The method comprises: (S1) collecting a variety of indicators from the financial market; (S2) establishing an indicator pool saved with the indicators; (S3) distinguishing and classifying the indicators by Neural Network; (S4) determining a plurality of transaction models, the indicator of each transaction model in an independent classification; (S5) determining a date parameter for each indicator; (S6) deleting a part of the transaction models; (S7) determining a plurality of final transaction models from another transaction models; and (S8) determining a weight of each final transaction model.
摘要翻译：本发明是提供一种具有选项指标的交易模型的生成方法。该方法包括：（S1）从金融市场收集各种指标; （S2）建立与指标一起保存的指标池; （S3）通过神经网络对指标进行区分和分类; （S4）确定多个交易模型，独立分类中的每个交易模型的指标; （S5）确定每个指标的日期参数; （S6）删除部分交易模型; （S7）从另一交易模型确定多个最终交易模型; 和（S8）确定每个最终交易模型的权重。

2. 发明申请

US20120191627A1 STATE-BASED TRADING MANAGEMENT SYSTEM AND METHOD 审中-公开
标题翻译：基于状态的交易管理系统和方法
公开(公告)号：US20120191627A1
公开(公告)日：2012-07-26
申请号：US13337335
申请日：2011-12-27
申请人： Yen-Tseng HSU
发明人： Yen-Tseng HSU
IPC分类号： G06Q40/04
CPC分类号： G06Q40/04 , G06Q40/06
摘要： The present invention discloses a state-based trading management system and method. Said trading management system divides each product into at least one type of state(s) to trade. There is one trading strategy relative to each state, including: at least one asset allocation module (model) which provides the ratio of each asset class to the state strategy module (model), and at least one state strategy module (model) performing the relative trading strategies in each state. The said asset allocation module (model) allows supervision from the user or the system itself.
摘要翻译：本发明公开了一种基于状态的交易管理系统和方法。所述交易管理系统将每个产品分成至少一种类型的交易状态。相对于每个国家，有一个交易策略，包括：至少提供一个资产分配模块（模型），它提供每个资产类别与状态策略模块（模型）的比率，以及至少一个执行该策略模块（模型）的状态策略模块各州相对交易策略。所述资产分配模块（模型）允许用户或系统本身的监督。

3. 发明申请

US20120290501A1 GENERATING METHOD FOR TRANSACTION MODELS WITH INDICATORS FOR OPTION 失效
标题翻译：交易模型的生成方法与指标的选择
公开(公告)号：US20120290501A1
公开(公告)日：2012-11-15
申请号：US13197055
申请日：2011-08-03
申请人： Chao-Hung Chang , Yen-Tseng Hsu , Jerome Yeh , Po-Lin Yeh , Yu-Tung Lin
发明人： Chao-Hung Chang , Yen-Tseng Hsu , Jerome Yeh , Po-Lin Yeh , Yu-Tung Lin
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06
摘要： The invention is to provide a generating method for transaction models with indicators for option. The method comprises: (S1) collecting a variety of indicators from the financial market; (S2) establishing an indicator pool saved with the indicators; (S3) distinguishing and classifying the indicators by Neural Network; (S4) determining a plurality of transaction models, the indicator of each transaction model in an independent classification; (S5) determining a date parameter for each indicator; (S6) deleting a part of the transaction models; (S7) determining a plurality of final transaction models from another transaction models; and (S8) determining a weight of each final transaction model.
摘要翻译：本发明是提供一种具有选项指标的交易模型的生成方法。该方法包括：（S1）从金融市场收集各种指标; （S2）建立与指标一起保存的指标池; （S3）通过神经网络对指标进行区分和分类; （S4）确定多个交易模型，独立分类中的每个交易模型的指标; （S5）确定每个指标的日期参数; （S6）删除部分交易模型; （S7）从另一交易模型确定多个最终交易模型; 和（S8）确定每个最终交易模型的权重。

4. 发明申请

US20050038729A1 Method and system for monitoring volume information in stock market 审中-公开
标题翻译：股票市场信息监控方法及系统
公开(公告)号：US20050038729A1
公开(公告)日：2005-02-17
申请号：US10639466
申请日：2003-08-13
申请人： Yen-Tseng Hsu , Chien-Ming Chen , Jerome Yeh
发明人： Yen-Tseng Hsu , Chien-Ming Chen , Jerome Yeh
IPC分类号： G06Q40/00 , G06F17/60
CPC分类号： G06Q40/04
摘要： An information monitoring method is provided which may track and monitor specific events of changing input data, such as stock market information, and notify venture capitalists or investors in real time of the occurrence of identified events of interest. According to the method to train or learn the quantitative patterns inherent in data sets, such as correlation between MAP and MAV, the relationship based on rules is built. A gray coefficient, trained by neural network under the specific events occurred in the historical data, is obtained for tracking and monitoring the present input data in real time. Artificial intelligence is therefore provided permitting adaptive monitoring of the input data in present invention.
摘要翻译：提供信息监控方法，其可以跟踪和监测诸如股票市场信息的变化输入数据的特定事件，并且在发生感兴趣的事件的实时时通知风险资本家或投资者。根据训练或学习数据集固有的定量模式的方法，如MAP与MAV之间的相关性，建立了基于规则的关系。在历史数据中发生的特定事件下由神经网络训练的灰度系数被实时跟踪和监视当前输入数据。因此，提供了人造智能，允许对本发明中的输入数据进行自适应监视。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式