Stock Investment Analysis System

About the project

AI-powered platform for analyzing stock data, spotting trends, and supporting smarter investment decisions.

This application is designed to analyze stock market data and support the development and evaluation of trading strategies. It provides a platform where financial data can be processed and examined to better understand market behavior and potential investment opportunities.

The system is developed as an internal tool for the client, intended to support research, analysis, and strategic decision-making related to stock trading.

It focuses on stocks listed on the Tokyo Stock Exchange (TSE) and provides quantitative analysis of historical and current market data. Users can evaluate stock performance, study market trends, and gain insights through structured data analysis.

Artificial Intelligence

Financial Technology

Trading Tools

Insights and Problems

Data Reliability Issues

Manual scraping of stock data often led to data loss, resulting in incomplete or inaccurate datasets. This made it difficult for users to fully trust the information used for analysis and decision-making.

Time-Consuming Analysis

Performing calculations manually was slow, delaying insights and reducing responsiveness to market changes. As a result, users often spent more time processing data than actually making strategic investment decisions.

Risk of Misjudged Opportunities

Inaccurate data and slow processing increased the risk of missing profitable stock investments. This could lead investors to overlook potential gains or make decisions based on outdated information.