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Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market

机译:使用粗集支持期货市场实时数据的基于规则交易的投资策略

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Investment strategies in stock market have gained unprecedented popularity in major financial markets around the world. However, it is a very difficult problem because of the fluctuation of the stock market. This study presents usefulness of rough set on the rule base to develop real-time investment strategies using technical analysis in futures market. This study consists of four phases. In the first phase, meaningful technical indicators are selected to reflect market movements. In the second phase, rough set is used to extract trading rules for identification of buy and sell patterns in the stock market. In the third phase, the investment strategies are developed in order to apply selected trading rules using rule-based reasoning to unpredictable stock market. Finally, investment strategies on the basis of rule base are evaluated by real-time trading. This study then examines the profitability of the proposed model.
机译:股票市场的投资策略在全球主要金融市场中已获得空前的普及。但是,由于股票市场的波动,这是一个非常困难的问题。这项研究提出了基于规则库的粗糙集在期货市场中使用技术分析来开发实时投资策略的有用性。这项研究包括四个阶段。在第一阶段,选择有意义的技术指标以反映市场动态。在第二阶段,使用粗糙集来提取交易规则,以识别股票市场中的买入和卖出模式。在第三阶段,开发投资策略,以便使用基于规则的推理将选定的交易规则应用于不可预测的股票市场。最后,基于规则库的投资策略通过实时交易进行评估。然后,本研究检查了所提出模型的盈利能力。

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