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Stock data excavation model based on history repeat and system

A data mining and data modeling technology, applied in data mining, data processing applications, electrical digital data processing, etc., can solve problems including chaos, increase the difficulty of prediction, and difficult to accurately determine mathematical models.

Inactive Publication Date: 2017-05-31
洪志令
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Problems solved by technology

[0003] However, stock prices are affected by various economic, political, and social factors, and their changes are highly disordered, and their mathematical models are often complex and difficult to accurately determine or contain chaos, which increases the difficulty of prediction

Method used

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  • Stock data excavation model based on history repeat and system

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0030] Connecting stock prices with curves becomes a trend line. The purpose of stock data mining is to find valuable information from a large number of historical trend lines based on the idea that "history will repeat itself".

[0031] The role of data mining is the process of extracting hidden, unknown but potentially useful information and knowledge from a large amount of incomplete, noisy, fuzzy, random data.

[0032] The method of the invention is based on the idea that "history repeats itself", and proposes a model for stock data mining. Such as figure 1 As shown, the stock data mining model of the present invention mainly includes six core modules: data storage center, data preparation, data model and data mining, data mining results, result tracking, and performance evaluation.

[0033] 1. Data storage center.

[0034] This module is mainly r...

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Abstract

The invention discloses a stock data excavation model based on a history repeat, and a system. The model searches and finds valuable information from massive stock historical trend lines based on the idea that history will be repeated. The constructed stock data excavation model comprises 6 core modules of a data storage center module, a data preparation module, a data model and data excavation module, a data excavation result module, a result tracking module and a performance evaluation module. Based on the provided model, a multifunctional and highly expandable stock big data excavation system can be constructed. In this system, rapid test and practice of a stock excavation method can be facilitated on one hand, and on the other hand, assisting decision making support can be provided for a user to carry out stock investment.

Description

technical field [0001] The invention relates to the technical field of stock data mining, in particular to a stock data mining model and system based on historical recurrence. Background technique [0002] With the rapid development of my country's securities industry, stock investment has become an important way for many families and personal financial management, and is an important part of many families' property income. The stock market has the characteristics of high risks and high returns. The rise and fall of stock prices and their changing trends have always been closely watched by the government and the investing public. The volatility of the stock market has gradually become an important indicator of my country's economic development level. Therefore, stock price prediction has become an important research topic in economics. [0003] However, stock prices are affected by various economic, political, and social factors, and their changes are highly disordered, and...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06Q10/04G06F17/30
CPCG06Q40/04G06F16/212G06F16/221G06F16/2358G06F16/2465G06F2216/03G06Q10/04
Inventor 洪志令吴梅红
Owner 洪志令
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