金融工程：AI识图关注卫星、有色、生物科技

• The report discusses the use of convolutional neural networks (CNNs) to model price-volume data and predict future prices. The learned features are mapped to industry theme indices, including the CSI Satellite Industry Index, CSI Industrial Nonferrous Metals Theme Index, CSI Biotechnology Theme Index, CSI Big Data Industry Index, and CSI Computer Theme Index[79][81] - The CNN-based model standardizes price-volume data into graphical representations for analysis, leveraging deep learning techniques to identify patterns and trends in stock price movements[79][80] - The latest thematic configurations derived from the CNN model focus on sectors such as satellites, nonferrous metals, biotechnology, and computing, reflecting the model's ability to capture sectoral trends[79][81]