- 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]

Group 1 - The core viewpoint is that the market is expected to experience a震荡向上 (upward fluctuation) at the beginning of the year, driven by a combination of structural bull market factors and improved investor sentiment [2][4][5] - The anticipated balance between external and internal demand will be a significant factor in 2026, with policies aimed at boosting domestic demand becoming increasingly important [2][3] - The spring market is likely to continue its upward trend, supported by improving economic data, ample liquidity, and positive policy signals [4][8] Group 2 - The A-share market is expected to see a "开门红" (opening red) at the start of the year, with significant inflows of institutional funds and a favorable liquidity environment [6][10] - The 2026 bull market is characterized by a combination of basic cyclical improvements, new technological trends, and increased asset allocation towards equities [5][8] - Investment strategies should focus on sectors benefiting from new growth themes, such as AI, renewable energy, and industrial automation, while also considering cyclical recovery opportunities [9][11]

Core Viewpoints - The A-share market is expected to see a spring rally, with thematic growth breaking through despite mixed signals from the global economy and domestic indicators [2] - The manufacturing PMI for December rose by 0.9 percentage points to 50.1, indicating a return to expansion [3][4] - The "old-for-new" policy and optimization of real estate policies are expected to further support domestic demand [2] Recent Dynamics - The manufacturing PMI increased to 50.1, with production and new orders indices both above 50, indicating improved business conditions [3][4] - The construction PMI rose significantly by 3.2 percentage points to 52.8, reflecting a strong recovery in the construction sector [4] - The service sector PMI also showed slight improvement, rising to 49.7, indicating a gradual recovery [4] Policy Tracking - The 2026 "old-for-new" policy aims to support the replacement of old vehicles and appliances, with a focus on smart products and mid-to-high-end automobiles [5][6] - The reduction of the personal housing sales value-added tax rate is expected to enhance the activity in the second-hand housing market [6] - The central bank's measures to strengthen the digital RMB management system are set to enhance financial services [6] Market Performance - The A-share market showed mixed performance, with the Shanghai Composite Index slightly up by 0.13%, while the ChiNext Index fell by 1.25% [15] - Key sectors such as oil and petrochemicals, defense, and media led the gains, with increases of 3.92%, 3.05%, and 2.13% respectively [13][15] - The average daily trading volume in the A-share market rose to approximately 2.1 trillion yuan, reflecting an 8.3% increase week-on-week [15][17]

- The report introduces a quantitative model based on Convolutional Neural Networks (CNN) to analyze price-volume data and predict future stock prices. The model maps learned features to industry theme indices, including chemical, non-bank financial, and satellite sectors[77][79][80] - The construction process involves standardizing price-volume data into graphical formats for each stock within a specific window period. These standardized charts are then used as input for the CNN model to identify patterns and predict future trends[77][78][79] - The model's evaluation highlights its ability to capture complex relationships in price-volume data and its application in thematic industry allocation. It emphasizes the importance of deep learning techniques in quantitative finance[77][80] - Backtesting results show the latest thematic allocations include indices such as CSI Subdivision Chemical Industry Theme Index, CSI Satellite Industry Index, CSI All Share Dividend Quality Index, and others, reflecting the model's predictions[79][80]

Group 1 - Market sentiment score has stabilized at 1.1 as of December 26, indicating a neutral outlook, with signs of improvement in trading activity [7][11][14] - The overall trading volume for the week increased by 11.63% compared to the previous week, with an average daily trading volume of 19,651.66 billion RMB, peaking at 21,811.04 billion RMB on December 26 [14][16] - The financing balance ratio continues to rise, reaching a new high, indicating an increase in leveraged funds and a recovery in risk appetite [25][27] Group 2 - The short-term scores for industries such as computers, real estate, pharmaceuticals, automobiles, and machinery have shown upward trends, with non-ferrous metals, light industry manufacturing, and communications having the highest short-term scores of 88.14 [35][36] - The industry trading volatility has decreased, indicating a slowdown in capital switching between sectors, with liquidity marginally tightening [20][22] - The correlation between industry congestion and weekly price changes is positive at 0.16, suggesting that sectors with high congestion, like defense and construction materials, have seen significant gains [39][41] Group 3 - The RSI indicator has shown significant improvement, indicating a reduction in selling pressure and a recovery in upward momentum [28][30] - The model indicates a preference for small-cap and growth styles, with the 5-day RSI relative to the 20-day RSI continuing to rise, suggesting potential strengthening of these signals [44][45] - The model's findings highlight that high congestion in sectors can lead to strong price movements but also increases the risk of rapid corrections if market expectations change [38][39]

Group 1: Market Sentiment Model Insights - The market sentiment score has stabilized at 1.1 as of December 26, indicating a neutral outlook, with signs of improvement in trading activity [8][12] - The price-volume consistency indicator showed a rebound in the latter part of the week, suggesting a recovery in market sentiment, although risk appetite remains insufficient [12][19] - The total trading volume for the week increased by 11.63% compared to the previous week, with an average daily trading volume of 19,651.66 billion RMB, indicating heightened market activity [16][18] Group 2: Sector Performance and Trends - The short-term scores for sectors such as computer, real estate, pharmaceutical, automotive, and machinery have shown upward trends, with non-ferrous metals, light industry manufacturing, and communication leading with the highest short-term scores of 88.14 [41][42] - The industry trading volatility has decreased, indicating a slowdown in capital switching between sectors, with a notable decline in the participation of high-elasticity sectors [23][25] - The financing balance ratio continues to rise, reaching a new high, reflecting an increase in leveraged capital sentiment and a recovery in risk appetite [29][31] Group 3: Investment Style and Sector Crowding - The model indicates a preference for small-cap and growth styles, with the 5-day RSI relative to the 20-day RSI showing potential for strengthening signals [50][51] - The correlation between sector crowding and weekly price changes is positive, with sectors like defense and construction materials showing significant gains due to rapid capital inflows [44][46] - High crowding sectors such as food and beverage, and retail have shown lower price increases, while low crowding sectors like beauty care and coal have lagged behind [46][47]

Market Performance Review - In December, all major stock indices rose, with the Shanghai Composite Index increasing by 1.93%, the Shenzhen Component Index by 4.77%, and the ChiNext Index by 6.27% as of December 26 [4][13] - The performance varied by style, with stable style down by 0.16%, financial style up by 2.21%, consumption style down by 0.75%, cyclical style up by 5.57%, and growth style up by 5.14% [4][13] - The large-cap index rose by 2.62%, mid-cap index by 5.90%, and small-cap index by 4.47% [4][13] - The market experienced a rebound in the fourth week of December, driven by the appreciation of the RMB and significant net inflows into the A500 ETF [4][13] Industry Insights - The leading sectors in December included defense and military (up 13.75%), communication (up 13.66%), and non-bank financials (up 8.30%), while the weakest sectors were media (down 3.96%) and real estate (down 3.30%) [18] - The focus on themes and events drove the market, with commercial aerospace and Hainan Free Trade Zone being the most prominent themes in December [18] Future Market Outlook - The A-share market in January is expected to face both challenges and opportunities, with attention needed on industry and individual stocks [5][33] - The potential for overseas disturbances, particularly regarding the Federal Reserve's interest rate decisions, could impact market volatility [5][33] - Despite the lack of strong domestic stimulus policies and economic data, there are still strong themes and sectors that can perform well [5][33] Investment Strategy - The report suggests focusing on thematic investments, particularly in commercial aerospace, non-ferrous metals, and consumer sectors [6][33] - The establishment of a commercial aerospace department and the release of a development action plan for commercial aerospace are seen as positive indicators for investment in this sector [6][33] - The report highlights the potential for a continued rally in the non-ferrous sector, particularly gold, driven by rigid demand and upcoming U.S. Treasury bond supply peaks [6][33]

Market Overview - The A-share market showed a positive trend today, with major indices mostly rising. The Shanghai Composite Index increased by 0.53% to close at 3940.95 points, while the Shenzhen Component Index rose by 0.88% to 13486.42 points. The Sci-Tech 50 Index and the ChiNext Index also saw gains of 0.90% and 0.77%, closing at 1352.13 points and 3229.58 points respectively. Overall, 4125 stocks rose, 1132 fell, and 200 remained unchanged, with a total trading volume of 18803 billion yuan, a decrease of 196 billion yuan from the previous trading day [1][14]. Industry Performance - Among the Shenwan first-level industries, sectors such as defense and military, electronics, building materials, light industry manufacturing, and machinery equipment led the gains, with increases of 2.88%, 2.12%, 1.72%, 1.69%, and 1.49% respectively. Conversely, industries like agriculture, forestry, animal husbandry, fishery, coal, food and beverage, and banking experienced declines, with decreases of 0.85%, 0.70%, 0.36%, and 0.30% respectively [1][14]. Concept Sector Performance - The top-performing concept sectors today included fiberglass, satellite internet, commercial aerospace, satellite navigation, military information technology, TOPcon batteries, RF and antennas, HBM, copper-clad laminates, 6G, cross-strait integration, large aircraft, aircraft carriers, Apple, and smart speakers [2][11].

Market Overview - The Shanghai Composite Index increased by 0.24% as of the morning close, with a trading volume of 677.93 million shares and a total transaction value of 1,159.189 billion yuan, representing a decrease of 7.38% compared to the previous trading day [1] Industry Performance - The top-performing industries included: - Defense and Military Industry: Increased by 2.39%, with a transaction value of 800.46 billion yuan, led by Xin Jing Gang, which rose by 20.02% [1] - Environmental Protection: Increased by 1.35%, with a transaction value of 99.35 billion yuan, led by Zhenghe Ecology, which rose by 10.02% [1] - Machinery Equipment: Increased by 1.18%, with a transaction value of 890.59 billion yuan, led by *ST Xin Yan, which rose by 17.71% [1] - The worst-performing industries included: - Coal: Decreased by 1.36%, with a transaction value of 47.63 billion yuan, led by Yun Wei Shares, which fell by 3.10% [2] - Agriculture, Forestry, Animal Husbandry, and Fishery: Decreased by 0.87%, with a transaction value of 177.67 billion yuan, led by Biological Shares, which fell by 5.92% [2] - Media: Decreased by 0.40%, with a transaction value of 190.78 billion yuan, led by Kaiying Network, which fell by 4.27% [2]

Group 1 - The company held the ninth (temporary) meeting of the eighth board of directors on December 12, 2025, where Mr. Wu Gang was elected as the new chairman, effective immediately until the end of the current board's term [2] - The company has completed the registration of the legal representative change and obtained a new business license from the Market Supervision Administration of Ma'anshan City, with updated information including a registered capital of RMB 753,876,706 [2] - The company is involved in various business activities, including the production and sales of magnetic materials, rare earth functional materials, electronic materials, and machinery, among others [2]