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Stock trend analysis method based on autocorrelation linear neighbor analysis

An analysis method and autocorrelation technology, applied in complex mathematical operations, other database retrieval, network data retrieval, etc., can solve problems such as economic loss and impossibility of very accurate fitting, and achieve accurate fitting results

Inactive Publication Date: 2020-08-11
NANTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Moreover, there are too many factors affecting the stock price trend, and it is impossible to accurately fit the stock price trend, which will inevitably cause some economic losses.

Method used

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  • Stock trend analysis method based on autocorrelation linear neighbor analysis
  • Stock trend analysis method based on autocorrelation linear neighbor analysis
  • Stock trend analysis method based on autocorrelation linear neighbor analysis

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] Such as figure 1 Shown is a schematic flow chart of the stock trend analysis method based on autocorrelation linear nearest neighbor analysis, including the following steps: Step 1. Analyze the influencing factors, specifically as follows: determine the factors that affect the stock price trend, and the influencing factors include company factors, market factors, Economic factors, political factors and industrial factors, among them, company factors include the company's operating conditions, financial statements and personnel changes in important positions, and the market factors include market demand and the company's evaluation and influence in society;

[0028] Step 2. Obtain the data of stocks and companies, specifically including the following steps: Step (2-1). Crawl all stock codes of Shenzhen Stock Exchange through the port; Step (2-2). Extract all ente...

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Abstract

The invention discloses a stock trend analysis method based on autocorrelation linear neighbor analysis. The stock trend analysis method comprises the following steps: step 1, analyzing influence factors; 2, obtaining data of stocks and companies; 3, preprocessing the stock data; step 4, establishing a model based on autocorrelation linear neighbor analysis; 5, performing model test and conclusionanalysis; and 6, evaluating the model, and generating an analysis report. According to the method, through a literature research method, a quantitative analysis method, a qualitative analysis methodand a core multiple linear regression method, a model based on autocorrelation linear neighbor analysis is established, and accurate curve fitting is achieved under the influence factors of multiple stock price trends.

Description

technical field [0001] The invention relates to the fields of machine learning and data mining, in particular to a stock trend analysis method based on autocorrelation linear nearest neighbor analysis. Background technique [0002] my country's stock market was formed in the 1990s. After more than 20 years of development, my country's stock market has formed a certain scale, but it is still in the early stages of development. The high-yield and high-risk characteristics of stocks are particularly prominent in my country, because compared with European and American markets, my country's securities market has a weaker correlation with the macro economy and greater volatility. Moreover, market participants are immature, and the herd effect is obvious. People are often influenced by the majority and follow the thoughts or behaviors of the public. [0003] Therefore, quantitative analysis of stock finance is undoubtedly a better choice. The invention utilizes the data mining al...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q40/04G06Q40/06G06F16/951
CPCG06F16/951G06F17/18G06Q40/04G06Q40/06
Inventor 石建
Owner NANTONG UNIVERSITY