ARTIFICIAL INTELLIGENCE-BASED STOCK PRICE PREDICTION DEVICE WITH IMPROVED ACCURACY

The present invention relates to an artificial intelligence-based stock price prediction device with improved accuracy comprising: a data collection part collecting stock data for a plurality of stock items; a data processing part clustering stock items of the same pattern through principal componen...

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description The present invention relates to an artificial intelligence-based stock price prediction device with improved accuracy comprising: a data collection part collecting stock data for a plurality of stock items; a data processing part clustering stock items of the same pattern through principal component analysis based on stock prices of the plurality of stock items; a stock price prediction part applying a prediction model to each cluster generated as a result of the clustering to predict the stock price of each stock item by date during a specific interval; a purchase recommendation part providing a purchase recommendation in accordance with whether the predicted stock price of a specific stock item rises or falls based on the end time of a corresponding prediction interval if selection input on the specific stock item and the prediction interval is received from a user terminal; and an accuracy determination part determining the accuracy of the purchase recommendation based on the real stock price at the end time. 본 발명은 정확도가 개선된 인공지능 기반의 주가 예측 장치에 관한 것으로, 복수의 종목들에 대한 주식 데이터를 수집하는 데이터 수집부; 상기 복수의 종목들 각각의 주가를 기준으로 주성분 분석을 통해 동일 패턴의 종목들을 그룹화(clustering) 하는 데이터 처리부; 상기 그룹화의 결과로 생성된 군집 별로 예측 모델을 적용하여 각 종목들에 대해 특정 구간 동안의 날짜별 주가를 예측하는 주가 예측부; 사용자 단말로부터 특정 종목 및 예측 구간에 관한 선택 입력을 수신한 경우 해당 특정 종목의 예측된 주가가 해당 예측 구간의 종료 시점을 기준으로 상승 또는 하락하는지에 따라 구매 추천을 제공하는 구매 추천부; 및 상기 종료 시점의 실제 주가를 기초로 상기 구매 추천의 정확도를 결정하는 정확도 결정부;를 포함한다.
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a data processing part clustering stock items of the same pattern through principal component analysis based on stock prices of the plurality of stock items; a stock price prediction part applying a prediction model to each cluster generated as a result of the clustering to predict the stock price of each stock item by date during a specific interval; a purchase recommendation part providing a purchase recommendation in accordance with whether the predicted stock price of a specific stock item rises or falls based on the end time of a corresponding prediction interval if selection input on the specific stock item and the prediction interval is received from a user terminal; and an accuracy determination part determining the accuracy of the purchase recommendation based on the real stock price at the end time. 본 발명은 정확도가 개선된 인공지능 기반의 주가 예측 장치에 관한 것으로, 복수의 종목들에 대한 주식 데이터를 수집하는 데이터 수집부; 상기 복수의 종목들 각각의 주가를 기준으로 주성분 분석을 통해 동일 패턴의 종목들을 그룹화(clustering) 하는 데이터 처리부; 상기 그룹화의 결과로 생성된 군집 별로 예측 모델을 적용하여 각 종목들에 대해 특정 구간 동안의 날짜별 주가를 예측하는 주가 예측부; 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kor</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>JEONG, HWA MIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JEONG, HWA MIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ARTIFICIAL INTELLIGENCE-BASED STOCK PRICE PREDICTION DEVICE WITH IMPROVED ACCURACY</title><date>2023-05-19</date><risdate>2023</risdate><abstract>The present invention relates to an artificial intelligence-based stock price prediction device with improved accuracy comprising: a data collection part collecting stock data for a plurality of stock items; a data processing part clustering stock items of the same pattern through principal component analysis based on stock prices of the plurality of stock items; a stock price prediction part applying a prediction model to each cluster generated as a result of the clustering to predict the stock price of each stock item by date during a specific interval; a purchase recommendation part providing a purchase recommendation in accordance with whether the predicted stock price of a specific stock item rises or falls based on the end time of a corresponding prediction interval if selection input on the specific stock item and the prediction interval is received from a user terminal; and an accuracy determination part determining the accuracy of the purchase recommendation based on the real stock price at the end time. 본 발명은 정확도가 개선된 인공지능 기반의 주가 예측 장치에 관한 것으로, 복수의 종목들에 대한 주식 데이터를 수집하는 데이터 수집부; 상기 복수의 종목들 각각의 주가를 기준으로 주성분 분석을 통해 동일 패턴의 종목들을 그룹화(clustering) 하는 데이터 처리부; 상기 그룹화의 결과로 생성된 군집 별로 예측 모델을 적용하여 각 종목들에 대해 특정 구간 동안의 날짜별 주가를 예측하는 주가 예측부; 사용자 단말로부터 특정 종목 및 예측 구간에 관한 선택 입력을 수신한 경우 해당 특정 종목의 예측된 주가가 해당 예측 구간의 종료 시점을 기준으로 상승 또는 하락하는지에 따라 구매 추천을 제공하는 구매 추천부; 및 상기 종료 시점의 실제 주가를 기초로 상기 구매 추천의 정확도를 결정하는 정확도 결정부;를 포함한다.</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title ARTIFICIAL INTELLIGENCE-BASED STOCK PRICE PREDICTION DEVICE WITH IMPROVED ACCURACY
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