金融工程：AI识图关注通信、人工智能

• The report introduces a convolutional neural network (CNN) model for analyzing price-volume data and predicting future stock prices. The model maps learned features to industry theme indices such as communication, artificial intelligence, and growth momentum indices[4][83][85] - The CNN model constructs standardized graphical representations of price-volume data for individual stocks within specific time windows. These graphical representations are then used for deep learning-based modeling[83][84] - The latest thematic configurations derived from the CNN model include indices such as CSI Communication Equipment Theme Index, ChiNext Artificial Intelligence Index, CSI 5G Communication Theme Index, and ChiNext Growth Momentum Index[4][85][86] - The report evaluates the CNN model as a promising approach for integrating AI into quantitative analysis, particularly for thematic investment strategies[83][86] - Backtesting results and specific performance metrics for the CNN model are not explicitly provided in the report[83][86]