Core Points - The Shanghai Composite Index fell by 0.01% on September 25, with seven industries rising, led by Media and Communication, which increased by 2.23% and 1.99% respectively [1] - The Non-ferrous Metals industry rose by 1.87%, with a net inflow of 2.05 billion yuan in main funds, and 72 out of 137 stocks in this sector increased in value [1] - The top three stocks with the highest net inflow in the Non-ferrous Metals sector were Luoyang Molybdenum (1.25 billion yuan), Northern Copper (592 million yuan), and Zijin Mining (297 million yuan) [1] - The sectors with the largest declines were Textile & Apparel and Comprehensive, with decreases of 1.45% and 1.30% respectively [1] Non-ferrous Metals Industry Summary - The Non-ferrous Metals industry saw a total of 137 stocks, with 72 stocks rising and one hitting the daily limit [1] - The net inflow of funds was concentrated in 68 stocks, with eight stocks receiving over 100 million yuan in net inflow [1] - The stocks with the largest net outflows included Chifeng Gold, Tongling Nonferrous Metals, and Western Mining, with outflows of 226 million yuan, 220 million yuan, and 201 million yuan respectively [2] Fund Flow Summary - The top stocks in the Non-ferrous Metals industry by net inflow included: - Luoyang Molybdenum: +9.90% with a turnover rate of 3.71% and a main fund flow of 1.25 billion yuan [1] - Northern Copper: +7.47% with a turnover rate of 14.72% and a main fund flow of 592 million yuan [1] - Zijin Mining: +5.17% with a turnover rate of 1.92% and a main fund flow of 297 million yuan [1] - The stocks with the largest net outflows included: - Chifeng Gold: -3.29% with a turnover rate of 3.65% and a main fund flow of -226 million yuan [2] - Tongling Nonferrous Metals: +8.12% with a turnover rate of 6.93% and a main fund flow of -220 million yuan [2] - Western Mining: +6.07% with a turnover rate of 5.02% and a main fund flow of -201 million yuan [2]

Report Summary 1. Report Industry Investment Rating No relevant information provided. 2. Core View of the Report - The short - term view of the stock index futures is wide - range oscillation, the medium - term view is upward, and the intraday view is weakly oscillating. The core logic lies in the game between the short - term profit - taking intention of funds and the long - and medium - term fermentation of policy - favorable expectations [1][5]. 3. Summary According to the Catalog 3.1 Variety View Reference - Financial Futures Stock Index Sector - For IH2512, the short - term view is oscillation, the medium - term view is upward, the intraday view is weakly oscillating, and the reference view is wide - range oscillation. The core logic is the game between short - term profit - taking intention of funds and long - and medium - term fermentation of policy - favorable expectations [1]. 3.2 Main Variety Price Market Driving Logic - Financial Futures Stock Index Sector - The intraday view of IF, IH, IC, and IM is weakly oscillating, the medium - term view is upward, and the reference view is wide - range oscillation. Yesterday, all stock indices rose comprehensively, with IC and IM leading the gains. The total turnover of the Shanghai, Shenzhen, and Beijing stock markets was 2347.1 billion yuan, a decrease of 171.3 billion yuan from the previous day. The rebound was accompanied by a reduction in stock market trading volume and a decrease in the open interest of stock index futures, indicating that investors still have differences in their views on the future market. The main trading logic of the stock market comes from policy expectations and capital flows. The game between the profit - taking rhythm of funds and the fermentation of policy expectations needs to be focused on. On one hand, as the valuation has risen significantly, especially when the index rebounds to near the previous high, the demand for profit - taking of profitable funds increases. On the other hand, the policy - favorable expectations and the long - term net inflow trend of the capital side constitute the long - and medium - term driving force for the upward movement of the stock index. The fermentation of policy - favorable expectations depends on the convening of the important meeting in October. The fact that the margin trading balance has exceeded 2.4 trillion yuan and the significant year - on - year increase in new non - bank deposits in July and August indicate the signs of residents' wealth allocation to the equity market. In general, due to the index approaching the previous high and the approaching long holiday, the stock index is expected to be mainly in wide - range oscillation in the short term [5].

1. Report Industry Investment Rating - No relevant content provided 2. Core Viewpoints of the Report - On September 24, 2025, all stock indices rose, with CSI 500 and CSI 1000 leading the gains. The total trading volume of the Shanghai, Shenzhen, and Beijing stock markets was 234.71 billion yuan, a decrease of 17.13 billion yuan from the previous day. The rebound was accompanied by a contraction in trading volume and a reduction in the positions of stock index futures, indicating that investors still have differences in their views on the future market [3]. - The main trading logic of the stock market currently comes from policy expectations and capital flows. In the future, it is necessary to focus on the game between the profit - taking rhythm of funds and the fermentation of policy expectations. As the valuation has significantly increased, especially when the index rebounds to near the previous high, the demand for profit - taking of profitable funds has increased. On the other hand, the expectation of policy benefits and the long - term net inflow trend of funds constitute the medium - and long - term driving force for the upward movement of stock indices. The fermentation of policy benefits is expected to await the convening of the important meeting in October. The fact that the margin trading balance has exceeded 2.4 trillion yuan and the year - on - year significant increase in new non - bank deposits in July and August indicate that the signs of residents' wealth allocation to the equity market have begun to appear [3]. - In the short term, the stock index is expected to fluctuate widely because the index is close to the previous high and the long holiday is approaching. Currently, the implied volatility of options has declined. Considering the medium - and long - term upward trend of the stock index, investors can continue to hold bull spreads or ratio spreads [3]. 3. Summary of Each Section 3.1 Option Indicators - On September 24, 2025, 50ETF rose 0.59% to close at 3.072; 300ETF (Shanghai Stock Exchange) rose 0.89% to close at 4.663; 300ETF (Shenzhen Stock Exchange) rose 1.01% to close at 4.810; CSI 300 Index rose 1.02% to close at 4566.07; CSI 1000 Index rose 1.70% to close at 7534.22; 500ETF (Shanghai Stock Exchange) rose 2.13% to close at 7.432; 500ETF (Shenzhen Stock Exchange) rose 2.27% to close at 2.972; GEM ETF rose 2.17% to close at 3.160; Shenzhen 100ETF rose 1.75% to close at 3.555; SSE 50 Index rose 0.68% to close at 2939.51; Science and Technology Innovation 50ETF rose 3.73% to close at 1.53; E Fund Science and Technology Innovation 50ETF rose 3.68% to close at 1.50 [5]. - The trading volume PCR and position PCR of various options changed compared with the previous trading day. For example, the trading volume PCR of SSE 50ETF options was 76.34 (previous day: 83.34), and the position PCR was 78.32 (previous day: 71.27) [6]. - The implied volatility of the at - the - money options in October 2025 and the 30 - trading - day historical volatility of the underlying assets of various options are provided. For instance, the implied volatility of the at - the - money options of SSE 50ETF options in October 2025 was 16.47%, and the 30 - trading - day historical volatility of the underlying asset was 15.70% [7]. 3.2 Related Charts - **SSE 50ETF Options**: Include charts such as the SSE 50ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [9][11][13][15][17]. - **SSE 300ETF Options**: Include charts such as the SSE 300ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [20][22][24][26][28][30]. - **SZSE 300ETF Options**: Include charts such as the SZSE 300ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [33][35][37][39][41][43]. - **CSI 300 Stock Index Options**: Include charts such as the CSI 300 stock index trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [45][47][49][51][53][55]. - **CSI 1000 Stock Index Options**: Include charts such as the CSI 1000 stock index trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [58][60][62][64][66][68]. - **SSE 500ETF Options**: Include charts such as the SSE 500ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [71][73][75][77][79][81]. - **SZSE 500ETF Options**: Include charts such as the SZSE 500ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [84][86][88][90][92][94]. - **GEM ETF Options**: Include charts such as the GEM ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [97][99][101][103][105][106]. - **Shenzhen 100ETF Options**: Include charts such as the Shenzhen 100ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [110][112][114][116][118][120]. - **SSE 50 Stock Index Options**: Include charts such as the SSE 50 index trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [123][125][127][129][131][133]. - **Science and Technology Innovation 50ETF Options**: Include charts such as the Science and Technology Innovation 50ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [136][138][140]. - **E Fund Science and Technology Innovation 50ETF Options**: Include charts such as the E Fund Science and Technology Innovation 50ETF trend, option volatility, trading volume PCR, position PCR, implied volatility curve, and at - the - money implied volatility of each term [143][145][147][149][151][153].

Market Overview - The Shanghai Composite Index rose by 0.83% on September 24, with 28 out of 31 sectors experiencing gains, led by the power equipment and electronics sectors, which increased by 2.88% and 2.76% respectively [1] - The automotive sector saw a modest increase of 0.36% [1] - The banking, coal, and telecommunications sectors were the biggest decliners, with decreases of 0.36%, 0.29%, and 0.01% respectively [1] Capital Flow Analysis - The net inflow of capital in the two markets was 19.725 billion yuan, with 14 sectors experiencing net inflows [1] - The electronics sector had the highest net inflow, totaling 13.046 billion yuan, while the computer sector followed with a net inflow of 5.021 billion yuan [1] - Conversely, 17 sectors experienced net outflows, with the automotive sector leading with a net outflow of 2.064 billion yuan, followed by telecommunications with 1.670 billion yuan [1] Automotive Sector Performance - Within the automotive sector, 278 stocks were tracked, with 170 stocks rising and 101 stocks declining [2] - Notably, 2 stocks hit the daily limit up, while 2 stocks hit the daily limit down [2] - The top three stocks with the highest net inflow were Wan Feng Ao Wei (499.82 million yuan), Hao Neng Co., Ltd. (327.41 million yuan), and Jianghuai Automobile (288.91 million yuan) [2] - The top three stocks with the highest net outflow were Shan Zi Gao Ke (-980.44 million yuan), BYD (-697.91 million yuan), and Wan Xiang Qian Chao (-379.36 million yuan) [3] Automotive Sector Capital Inflow and Outflow - The automotive sector's capital inflow list included stocks like Wan Feng Ao Wei (4.47% increase), Hao Neng Co., Ltd. (10.02% increase), and Jianghuai Automobile (2.38% increase) [2] - The capital outflow list featured stocks such as Shan Zi Gao Ke (-9.91% decrease), BYD (0.10% increase), and Wan Xiang Qian Chao (0.82% increase) [3]

沪指9月24日上涨0.83%，申万所属行业中，今日上涨的有28个，涨幅居前的行业为电力设备、电子， 涨幅分别为2.88%、2.76%。计算机行业今日上涨2.52%。跌幅居前的行业为银行、煤炭、通信，跌幅分 别为0.36%、0.29%、0.01%。 300042 朗科科技 4.09 14.05 10162.92 计算机行业资金流出榜 | 代码 | 简称 | 今日涨跌幅（%） | 今日换手率（%） | 主力资金流量（万元） | | --- | --- | --- | --- | --- | | 600410 | 华胜天成 | -1.34 | 14.06 | -22722.43 | | 002261 | 拓维信息 | 0.19 | 8.60 | -19174.65 | | 002065 | 东华软件 | -6.08 | 13.00 | -18046.22 | | 688111 | 金山办公 | 5.21 | 2.07 | -16355.18 | | 300085 | 银之杰 | 0.65 | 8.20 | -15456.27 | | 688343 | 云天励飞-U | -0.14 | 6.57 | -15079.2 ...

| 行业 | 日涨跌幅（%） | 资金流向（亿元） | 行业 | 日涨跌幅（%） | 资金流向（亿元） | | --- | --- | --- | --- | --- | --- | | 电子 | 2.76 | 130.46 | 轻工制造 | 0.87 | -1.05 | | 计算机 | 2.52 | 50.21 | 综合 | 0.27 | -1.82 | | 电力设备 | 2.88 | 45.30 | 交通运输 | 0.43 | -2.23 | | 非银金融 | 0.80 | 14.43 | 煤炭 | -0.29 | -3.10 | | 传媒 | 2.59 | 13.93 | 家用电器 | 0.88 | -4.01 | | 机械设备 | 1.81 | 12.20 | 社会服务 | 0.51 | -4.84 | | 基础化工 | 1.69 | 12.18 | 商贸零售 | 0.98 | -5.16 | | 房地产 | 2.25 | 12.14 | 有色金属 | 1.38 | -6.97 | | 钢铁 | 0.95 | 11.46 | 国防军工 | 0.94 | -7.60 | | 石油石化 | 0.56 | ...

电力设备行业资金流出榜 沪指9月24日上涨0.83%，申万所属行业中，今日上涨的有28个，涨幅居前的行业为电力设备、电子，涨幅分别为2.88%、2.76%。电力设备行业位居今日涨幅榜首位。跌幅居前的行业为银行、 资金面上看，两市主力资金全天净流入197.25亿元，今日有14个行业主力资金净流入，电子行业主力资金净流入规模居首，该行业今日上涨2.76%，全天净流入资金130.46亿元，其次是计算 主力资金净流出的行业有17个，汽车行业主力资金净流出规模居首，全天净流出资金20.64亿元，其次是通信行业，净流出资金为16.70亿元，净流出资金较多的还有公用事业、食品饮料、银行 电力设备行业今日上涨2.88%，全天主力资金净流入45.30亿元，该行业所属的个股共362只，今日上涨的有298只，涨停的有6只；下跌的有62只，跌停的有1只。以资金流向数据进行统计，该 电力设备行业资金流入榜 ...

- The report constructs an industry crowding monitoring model to monitor the crowding levels of Shenwan First-Level Industry Indexes on a daily basis[3] - The ETF product screening signal model is built using the premium rate Z-score model, which provides potential arbitrage opportunities through rolling calculations[4] - The industry crowding monitoring model indicates that the crowding levels of the power equipment and electronics industries were high on the previous trading day, while the food and beverage, beauty care, and petrochemical industries had lower crowding levels[3] - The ETF product screening signal model suggests caution regarding potential pullback risks of the identified targets[4] Model and Factor Construction Industry Crowding Monitoring Model - **Model Name**: Industry Crowding Monitoring Model - **Construction Idea**: Monitor the crowding levels of various industries on a daily basis to identify potential investment opportunities and risks[3] - **Construction Process**: The model calculates the crowding levels of Shenwan First-Level Industry Indexes daily, based on the flow of main funds and changes in allocation over recent trading days[3] - **Evaluation**: The model effectively identifies industries with significant changes in crowding levels, providing valuable insights for investment decisions[3] ETF Product Screening Signal Model - **Model Name**: ETF Product Screening Signal Model - **Construction Idea**: Identify potential arbitrage opportunities in ETF products using the premium rate Z-score model[4] - **Construction Process**: The model uses rolling calculations of the premium rate Z-score to screen for ETF products that may present arbitrage opportunities. It also highlights potential pullback risks for the identified targets[4] - **Evaluation**: The model provides a systematic approach to identifying arbitrage opportunities in ETF products, enhancing investment strategies[4] Model Backtesting Results Industry Crowding Monitoring Model - **Power Equipment and Electronics**: High crowding levels on the previous trading day[3] - **Food and Beverage, Beauty Care, Petrochemical**: Low crowding levels on the previous trading day[3] - **Coal and Nonferrous Metals**: Significant changes in crowding levels observed[3] ETF Product Screening Signal Model - **Potential Arbitrage Opportunities**: Identified through rolling calculations of the premium rate Z-score[4] - **Pullback Risks**: Highlighted for the identified ETF products[4]

Core Viewpoint - Dayang Electric experienced a significant increase in stock price, reaching the daily limit with a turnover rate of 21.42% and a transaction volume of 4.45 billion yuan, indicating strong market interest and activity [2] Group 1: Trading Activity - The stock's price deviation reached 10.78%, leading to its listing on the exchange's watchlist for unusual trading activity [2] - Institutional investors net bought 37.47 million yuan, while the Shenzhen Stock Connect saw a net sell of 1.99 million yuan [2] - The top five trading departments accounted for a total transaction volume of 860 million yuan, with net buying of 101 million yuan [2] Group 2: Fund Flow - The stock saw a net inflow of 384 million yuan from major funds, with large orders contributing a net inflow of 539 million yuan, while large orders experienced a net outflow of 155 million yuan [2] - Over the past five days, the net outflow of major funds amounted to 163 million yuan [2] Group 3: Margin Trading Data - As of September 22, the margin trading balance for the stock was 1.067 billion yuan, with a financing balance of 1.065 billion yuan and a securities lending balance of 2.44 million yuan [3] - In the last five days, the financing balance increased by 861,900 yuan, reflecting a growth rate of 0.08%, while the securities lending balance decreased by 1.54 million yuan, a decline of 38.75% [3] Group 4: Institutional Ratings - One institution rated the stock as a buy in the last five days, with the highest target price set at 17.20 yuan by Guojin Securities [3]

Core Viewpoint - Sichuan Gold (001337) has shown a significant increase in stock price and positive financial performance, indicating strong market interest and operational efficiency [1][5]. Financial Performance - As of September 22, 2025, Sichuan Gold's stock closed at 28.28 yuan, up 6.92% with a trading volume of 217,800 shares and a turnover of 597 million yuan [1]. - The company reported a main revenue of 442 million yuan for the first half of 2025, a year-on-year increase of 11.92%, and a net profit of 209 million yuan, up 48.41% year-on-year [5]. - The second quarter of 2025 saw a single-quarter main revenue of 234 million yuan, a 13.97% increase year-on-year, and a net profit of 113 million yuan, up 76.73% year-on-year [5]. Market Activity - On September 22, 2025, the net inflow of main funds was 69.43 million yuan, accounting for 11.63% of the total turnover, while retail investors saw a net outflow of 53.33 million yuan, representing 8.93% of the total turnover [1][2]. - Over the past five days, the stock has experienced fluctuations in fund flows, with notable net inflows and outflows from different investor categories [2][3]. Financing and Margin Trading - On September 22, 2025, the financing balance was 327 million yuan, with a net financing inflow of 5.98 million yuan [3]. - The margin trading balance stood at 328 million yuan, indicating active trading and investor interest in the stock [3]. Industry Comparison - Sichuan Gold's total market capitalization is 11.878 billion yuan, with a net asset of 1.573 billion yuan, ranking 9th in the industry [5]. - The company has a gross profit margin of 65.07%, significantly higher than the industry average of 28.16%, and a net profit margin of 47.18%, also leading the industry [5].