STOCKS SELECTION APPARATUS FOR CONSTRUCTING STOCK PORTFOLIO AND METHOD

A technology for constructing a stock portfolio using a program.

This technology collects stock price data for each stock, analyzes correlations between the collected data, and predicts the stock prices of the correlated stocks using a stock price prediction model learned from the stock price data. The predicted prices are then compared to select stocks with a predicted increase in price from the analyzed correlations, thereby increasing returns.

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Key Features:

• Stock portfolio construction using deep learning techniques
• Investment techniques for diversifying multiple stocks
• Analyzing correlations between stocks from stock price data
• Predicting stock prices using a prediction model

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The patent is a technology developed with research funding from the Ministry of Education on "Integrated Processing and Analysis of Streaming and Stored Data in a Distributed Environment."