Intelligent triggering and notifying method

A notification and intelligent technology, applied in the field of robo-advising, can solve problems such as the accuracy is not too high, the robo-advising method cannot be quickly learned and corrected, and the user's judgment cannot provide fast feedback, so as to improve efficiency and accuracy, The effect of rapid learning and correction, improving the readiness rate

Active Publication Date: 2020-05-29
高盈国际创新科技(深圳)有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the robo-advisory method of the existing technology cannot be quickly learned and corrected, and the accuracy of the market judgment is not too high and there is a certain lag. Therefore, the judgment of the user cannot be quickly fed back to the user

Method used

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  • Intelligent triggering and notifying method

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Embodiment Construction

[0027] Attached below figure 1 , the specific embodiment of the present invention is described in detail.

[0028] ginseng figure 1 as shown, figure 1 The frame diagram of the method for intelligent triggering and notification provided by the present invention; on the one hand, the present invention provides a method for intelligent triggering and notification based on historical data to form a specific curve feature in real time to match existing real-time data, including the following steps:

[0029] S1: Obtain raw data;

[0030] S2: Clean the original data and perform denoising, and use wavelet analysis to obtain a relatively smooth preliminary signal waveform;

[0031] After the original data is input, the wrong original data is eliminated to obtain the preliminary data; according to the initial characteristics of the preliminary data, the frequency and time of the data are analyzed, and the data outside the frequency and smooth curve are eliminated, and then according ...

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Abstract

The invention provides an intelligent triggering and notifying method. The method comprises the following steps: S1, acquiring original data; S2, cleaning the original data, performing denoising, andobtaining a relatively smooth preliminary signal oscillogram by using wavelet analysis; S3, preliminarily extracting curve characteristics; S4, acquiring curve characteristics deeply; S5, for the setof depth curve fluctuation characteristics obtained in the step S4, optimizing the obtained set of depth curve fluctuation characteristics by using historical data, and performing combinatorial analysis on different fluctuation characteristics to gradually improve the prediction probability; S6, analyzing the obtained set of depth curve fluctuation characteristics, and separating out a plurality of different curve characteristics, and S7, setting a triggering condition, and distributing signals to a user. According to the method, the characteristics of historical data can be prepared to be extracted, the characteristic factors are optimized according to iteration, judgment can be rapidly made according to market changes according to the characteristic factors, and user suggestions or transactions can be given.

Description

technical field [0001] The present invention relates to the technical field of intelligent investment, in particular to an intelligent triggering and notification method. Background technique [0002] In recent years, with the development of technology, the emergence of high-tech technologies such as big data, artificial intelligence, cloud computing, and mobile Internet, these technologies are naturally integrated with finance, and the development of big data can be faster and better. Find and mine financial data, capture curve features, etc. to obtain financial change laws; and the emergence of artificial intelligence can play a subversive role in the development of finance, and the combination of artificial intelligence and finance. The scale and quality of data determine the intelligence of artificial intelligence to a certain extent, and finance is an industry that generates massive data. After preliminary cleaning of these massive data, a large amount of high-quality d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/06G06N3/02G06N3/12
CPCG06N3/02G06N3/126G06Q40/06
Inventor 吴超
Owner 高盈国际创新科技(深圳)有限公司
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