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What is Stock Value Classification via Visibility Graph about?
This thesis by Jinkun Yao presents a method for classifying stock values using visibility graph techniques, specifically the natural visibility graph (NVG) and horizontal visibility graph (HVG) methods. The study analyzes stock price data for 330 stocks over ten years, demonstrating that the visibility graph method can effectively represent stock price characteristics and achieve high classification accuracy for stock sectors and P/E ratios. The findings suggest that this approach can enhance real-time stoc
- Author
- kamomofokeng314159
- Language
- EN