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A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Design and Research of Stock Selection Optimization System Based on Big Data

Author : Bin Qie

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

This article discusses in detail about the design of the stock selection optimization system based on big data. Firstly, according to the user’s stock selection information, the system determines the screening characteristics, to obtain the stock data, such as transaction data, indicator data etc. After that, the stock data is preprocessed, and the preselected stock set is determined based on the screening characteristics and the preprocessed stock data. And then the index calculation is performed based on the data related to several stocks in the preselected stock set with similar screening characteristics. Finally, according to the results of the index calculation and the preset judgment rules, the confidence level corresponding to each stock in the pre-selected stock set is calculated, and then several stocks in the pre-selected stock set are selected and recommended to the user according to the confidence level.

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previous chapter Data Intelligent Reconstruction of the Practice Path of Media Information Ecology Based on Artificial Intelligence
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Metadata
Title
Design and Research of Stock Selection Optimization System Based on Big Data
Author
Bin Qie
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Frontier Computing

Print ISBN: 978-981-9914-27-2

Electronic ISBN: 978-981-9914-28-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1428-9_67