金融工程：AI识图关注非银、卫星、化工

• The report introduces a quantitative model based on Convolutional Neural Networks (CNN) to analyze price-volume chart data and predict future prices. The learned features are then mapped to industry theme indices, such as the CSI 300 Non-Bank Financial Index, the CNI Commercial Satellite Communication Industry Index, and the CSI Sub-Chemical Industry Theme Index[79][81] - The construction process involves standardizing price-volume data into chart formats and applying CNNs to extract features. These features are subsequently used to allocate weights to specific industry themes[79][81] - The model's evaluation highlights its ability to capture complex patterns in price-volume data and its application in identifying promising industry themes like non-bank financials, satellites, and chemicals[79][81]