【广发金工】AI识图关注石化、化工和有色

Market Performance - The Sci-Tech 50 Index decreased by 2.85% over the last five trading days, while the ChiNext Index fell by 0.09%. In contrast, the large-cap value index rose by 1.87%, and the large-cap growth index increased by 0.68%. The Shanghai 50 Index gained 1.13%, whereas the small-cap index represented by the CSI 2000 dropped by 2.76%. The telecommunications and oil & petrochemical sectors performed well, while the defense, military, and power equipment sectors lagged behind [1]. Valuation Levels - As of January 30, 2026, the static PE of the CSI All Share Index is at 2.49%, with a two-standard deviation boundary of 4.67%. The valuation levels indicate that the CSI All Share Index's TTM PE is at the 84th percentile, while the Shanghai 50 and CSI 300 are at 74% and 75%, respectively. The ChiNext Index is close to 62%, and the CSI 500 and CSI 1000 are at 69% and 67%, respectively, suggesting that the ChiNext Index's valuation is relatively at the historical median level [2]. Fund Flow and Trading Activity - In the last five trading days, ETF funds experienced an outflow of 316.7 billion yuan, while the margin trading balance increased by approximately 14.7 billion yuan. The average daily trading volume across the two markets was 30.348 billion yuan [2]. Thematic Investment Insights - The latest thematic investment focus includes sectors such as petrochemicals, chemicals, and non-ferrous metals. Specific indices highlighted are the CSI Petrochemical Industry Index, CSI Sub-Industry Chemical Theme Index, CSI Oil and Gas Index, and CSI Non-Ferrous Index [2][3]. AI and Machine Learning Applications - The report discusses the application of convolutional neural networks (CNN) to model price and volume data, aiming to identify future price movements and map learned features to industry themes. This approach is based on research reports related to AI recognition and classification of stock price trends [2][11].