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Trend prediction and analysis method, device and storage medium

An analysis method and trend prediction technology, applied in transmission systems, instruments, electrical and digital data processing, etc., can solve problems such as inaccurate trend prediction, and achieve the effects of stable and continuous distribution, reduction of burrs, and accurate probability.

Inactive Publication Date: 2018-05-04
上海宽全智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the above defects, the present application provides a trend prediction analysis method, equipment and storage medium to solve the problem of inaccurate trend prediction

Method used

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  • Trend prediction and analysis method, device and storage medium
  • Trend prediction and analysis method, device and storage medium
  • Trend prediction and analysis method, device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] This embodiment provides a trend prediction analysis method, which is suitable for execution in the computing device. refer to figure 1, shows the flow chart of the trend prediction analysis method of this embodiment, including the following steps:

[0056] In step 101, an access window is established, and the window includes market information and news information of multiple targets.

[0057] Create a user access window, which contains the market information of multiple stocks and information related to the stock market. Users can access it through the APP or through URL links.

[0058] Step 102: Obtain the user's access information, and count the user visits per unit time of each target according to the user access information. The access information includes the time point of the access behavior, the number of visits to the corresponding access target, and the corresponding user ID.

[0059] In a specific embodiment, each piece of access information includes the t...

Embodiment 2

[0074] The difference between this embodiment and the first embodiment lies in step 104, predicting the future trend of the subject according to the attention degree curve and the sentiment index curve.

[0075] Connect a single target within the preset time interval to generate the attention degree curve generated by the above-mentioned units of time, and smooth the curve to generate a smooth curve of attention degree, and connect the emotional index of the single target in the preset time interval Smoothing is performed to generate a sentiment index smoothing curve. In this embodiment, the attention degree curve, the attention degree smooth curve and the sentiment index smooth curve are used to predict the future trend of the target.

[0076] Preferably, in order to make the curve more stable and continuous distribution, this embodiment introduces a smoothing algorithm to smooth the target attention degree curve and emotional index curve in the time interval to generate a co...

Embodiment 3

[0084] This embodiment is regarded as the improvement of the above-mentioned embodiment, with reference to figure 2 , shows a flow chart of the trend prediction analysis method in this embodiment. Steps 201 to 204 in this embodiment are the same as steps 101 to 104 in Embodiment 1 or Embodiment 2, except that an information push step 205 is also included.

[0085] Specifically, the attention degree curve and / or the attention degree smooth curve and / or the emotional index curve and / or the emotional index smooth curve of the target in the preset time interval are pushed to the user terminal; or the prediction result of the next stage of the target is pushed to the user The terminal; or push the attention curve and / or attention smooth curve and / or sentiment index curve and / or sentiment index smooth curve of the target in the preset time interval and the prediction result of the next stage of the target to the user terminal at the same time.

[0086] Preferably, the number of ti...

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Abstract

The invention provides a trend prediction and analysis method, device and storage medium. The method comprises establishing an access window which contains market news and information of a number of bids; acquiring access information of a user, calculating the user access volume of every bid within unit time according to the access information of the user, wherein the access information of the user contains time points of access behaviors, the number of times of access of corresponding bids, and a corresponding user identity; calculating attention to and the sentiment index of every bid withinunit time; generating an attention curve and a sentiment index curve of every bid, and according to the attention curve and the sentiment index curve, predicting future trend of the bid. By predicting the trend of a next stage through attention and the emotion index, the trend prediction and analysis method can help acquire the inflection point of the trend in the first place and avoid information delay.

Description

technical field [0001] The present application relates to the field of data processing, in particular, to an analysis method, device and storage medium for price trend prediction in the financial field. Background technique [0002] With the development of the Internet industry, information technology dominates, and the securities market is developing towards a modern market. Now there are more than a few thousand listed companies in Shanghai and Shenzhen. However, the income and risk of stock investment are often directly proportional, that is, the higher the investment income, the greater the risk you may take. Therefore, the research on stock market forecasting methods has extremely important application value and theoretical significance. There have always been many traditional analysis techniques. It should be said that these traditional technical analysis methods have made great achievements in stock analysis. However, it is not difficult to find that these existing t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q40/04H04L29/08
CPCG06F16/9535G06Q40/04H04L67/55
Inventor 李贵
Owner 上海宽全智能科技有限公司
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