Standard quantization parameter based mass data dynamic screening method and application thereof in financial security field

Abstract

The invention provides a standard quantization parameter based mass data dynamic screening method. According to the standard quantization parameter based mass data dynamic screening method, data quantification and dynamic and characteristics confirming to statistics probability distribution are fully considered and applied and data confirming to a standard quantization parameter screening condition are screened out from mass data. The most direct application of the standard quantization parameter based mass data dynamic screening method is in the financial security field. The invention also discloses a standard quantization parameter based stock portfolio dynamic selection method and a future variety selection method. When the standard quantization parameter based mass data dynamic screening method is applied to the financial security field, data ossification caused by static numerical value screening is avoided and the decision making effect is obviously improved.

Description

technical field [0001] The invention relates to a method for screening data, especially a method for dynamically screening data based on standard quantitative parameters, which can be widely used in the field of financial securities. [0002] Background technique [0003] Human beings have entered the era of "big data", and the following database , Data Security , data analysis , data mining And so on, the utilization of the business value of big data has gradually become the focus of profit that people in the industry are vying for. Data analysis and data mining are deeply studied and widely used fields. The so-called data analysis refers to the use of appropriate statistical methods Based on the large amount of first-hand information collected and Second hand information Analyze in order to maximize the function of data development and play the role of data; data mining refers to the non-trivial process of revealing hidden, previously unknown and potentially va...

AI Technical Summary

Problems solved by technology

Although we are no strangers to the three generalities of financial data, it is a blank space to directly apply the above-mentioned data commonality and systemize it into a massive data screening method to guide and provide decision-making.

Taking the most common use of quantitative data to select stocks as an example, the operation of the existing system is to directly screen the underlying stocks from massive data through external setting parameters or thresholds. This method only focuses on and applies the characteristics of data quantification. But ignoring the data dynamics and conforming to the characteristics of statistical probability distribution, the actual effect is not ideal

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