A hierarchical graph neural network combining stock, industry, and market signals reportedly predicts trading-curb stock types with about 64% accuracy, but the missing experimental details make the claim unverifiable.
Among them, the historical stock sequence data includes daily frequency historic al trading data and high -frequency minute -level trading data for special fluctuation stocks
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Stock Type Prediction Model Based on Hierarchical Graph Neural Network
A hierarchical graph neural network combining stock, industry, and market signals reportedly predicts trading-curb stock types with about 64% accuracy, but the missing experimental details make the claim unverifiable.