Core Viewpoint - The Chinese stock market showed signs of recovery with major indices rebounding, despite ongoing volatility and cautious sentiment among investors [1] Market Performance - The Shanghai Composite Index rose by 0.05% to close at 3836.77 points - The Shenzhen Component Index increased by 0.37% to 12585.08 points - The ChiNext Index gained 0.31% to reach 2929.04 points - The STAR 50 Index saw a rise of 0.84% - Total trading volume across Shanghai, Shenzhen, and Beijing reached 17,405 billion yuan [1] Sector Analysis - Insurance, banking, and coal sectors experienced declines - The military industry sector showed strong performance - Media, construction, semiconductor, and pharmaceutical sectors also performed well - Concepts related to military trade, commercial aerospace, and AI applications were notably active [1] Market Sentiment and Outlook - Guotai Junan noted that the recent weakness in the Chinese stock market is attributed to year-end profit-taking and reduced positions by investors - The cooling expectations for Fed rate cuts, increased volatility in U.S. markets, and a lack of internal policy support have contributed to weakened trading confidence - The slowdown in the registration of equity products has led to insufficient market supply, negatively impacting the microstructure of the stock market - Contrary to the prevailing cautious sentiment, Guotai Junan remains optimistic about the future of the Chinese market, suggesting that the stock index is in a favorable position for growth - The firm believes that opportunities arise during periods of panic, and anticipates a gradual stabilization and year-end rally in the Chinese stock market, indicating significant upward potential and a good opportunity for accumulation [1]

Report Information - Report Date: November 22, 2025 [1] - Report Title: High - frequency Economic Weekly Report (2025.11.16 - 2025.11.22) [2] - Analysts: Huang Weiping, Yi Qiang, Wang Zheyi [3] Report Industry Investment Rating - No relevant content provided. Report's Core View - The economic situation shows mixed trends. Industrial production is weak, while personnel flow continues to rise, and freight prices increase slightly. Consumption and some segments of the real - estate market show different trends, and export - related indicators also have their own characteristics. [3] Summary by Catalog 1. Big - class Assets - This week, bond indices generally rose, with the ChinaBond 7 - 10 - year China Development Bank bond index rising the most by 0.7%. Stock indices and commodities generally fell, with the ChiNext Index falling the most by 6.15%, and the Nanhua Precious Metals Index dropping by 4.07%. Most foreign currencies depreciated against the RMB, with the Japanese yen having the largest decline of 1.19%, while the US dollar appreciated by 0.14% against the RMB. [3] 2. Industrial Production - Production performance is weak. From the upstream, the weekly coal consumption in the national power plant sample area decreased by 1.27%, the petroleum asphalt plant operating rate dropped by 4.20 pcts to 24.80%, and the blast furnace operating rate decreased by 0.62 pcts to 82.17%, while the crude steel output increased by 6.00%. In the real - estate chain, the rebar operating rate rose by 1.31 pcts to 43.29%, the float glass operating rate decreased by 0.34 pcts to 74.96%, and the mill operating rate dropped by 0.39 pcts to 33.29%. In the consumer goods chain, the polyester filament operating rate increased by 0.10 pcts to 91.33%, the PTA operating rate decreased by 1.89 pcts to 74.29%, and the methanol operating rate dropped by 0.17 pcts to 83.77%. In the automotive chain, the automotive semi - steel tire operating rate decreased by 2.61 pcts to 71.07%, and the automotive full - steel tire operating rate decreased by 3.19 pcts to 61.31%. [3] 3. People and Goods Flow - Personnel flow continued to rise, and freight prices increased slightly. The 7 - day moving average (7DMA) of the national migration scale index increased by 6.45% week - on - week. The 7DMA of domestic flight operations increased by 1.51%, and the 7DMA of international flight operations increased by 0.84%. Beijing's subway passenger volume decreased, while those of Shanghai, Shenzhen, and Guangzhou increased. The 4 - week moving average (4WMA) of the road logistics freight rate index increased by 0.02% week - on - week, and the total volume was higher than the same period last year. [3] 4. Consumption - Automobile sales growth declined year - on - year, and price performance decreased. The previous period's automobile wholesale decreased by 5.00% year - on - year, and retail sales decreased by 9.00% year - on - year. Both the 4WMA of wholesale and retail year - on - year growth rates declined. The weekly movie box office decreased by 22%, and the 7DMA of the number of moviegoers decreased by 22%. Agricultural product prices decreased, with pork prices dropping by 0.83% week - on - week and vegetable prices falling by 6.08% week - on - week. [3] 5. Investment - Construction performance was good, and the commercial housing market had a seasonal uptick. The weekly cement inventory ratio increased by 0.1 pcts, the cement price index increased by 0.43%, and the cement shipping rate remained the same as last week. The rebar inventory decreased by 3.8% week - on - week, the proportion of profitable steel mills nationwide decreased by 1.3 pcts, and the rebar apparent demand increased by 6.7% week - on - week. Overall, the terminal demand for construction was good. The 7DMA of the commercial housing transaction area in 30 large and medium - sized cities increased by 24.2% week - on - week. By city - tier, the transaction area in first - tier cities decreased, while those in second - and third - tier cities increased. The 7DMA of the second - hand housing transaction area in 16 cities decreased by 0.1%, and the national second - hand housing listing price index decreased by 0.2% week - on - week. The land transaction area in 100 cities increased, and the land premium rate decreased week - on - week. [3] 6. Export - Port throughput decreased, and most shipping indices increased. The weekly port cargo throughput decreased by 1.1%, and the container throughput decreased by 5.4%. The BDI index increased by 7.06% week - on - week, the domestic SCFI index decreased by 3.98%, and the CCFI index increased by 2.63%. [3]

Core Viewpoint - The article highlights the efforts of the Zhaoqing City disciplinary inspection and supervision authorities to combat corruption and misconduct in the construction sector through education, case analysis, and systemic reforms [1][2][3][4] Group 1: Anti-Corruption Measures - Zhaoqing City has initiated warning education meetings for construction sector officials to learn from past cases and strengthen their awareness of compliance and ethical standards [1] - The city has investigated 79 individuals in the construction sector for misconduct, including 4 city-level and 12 county-level leaders, signaling a strong commitment to strict enforcement [1] - The disciplinary authorities are focusing on key areas such as project approval, bidding, contract execution, and fund disbursement to enhance oversight and prevent corruption [2] Group 2: Systematic Reforms - The Zhaoqing City disciplinary inspection commission is conducting in-depth research on corruption cases to identify patterns and develop preventive measures, resulting in a report on construction sector corruption [2] - Various local commissions are revising and improving 14 regulatory documents to strengthen risk prevention in the construction sector [2] - The Zhaoqing High-tech Zone has issued guidelines to enhance supervision in urban environment construction, emphasizing risk assessment and institutional effectiveness [2] Group 3: Educational Initiatives - The disciplinary authorities are using real cases as educational tools, producing warning films and educational materials to remind officials of the consequences of misconduct [3] - Specific cases of misconduct have been highlighted in educational sessions for public officials to reinforce the importance of integrity in their roles [3] - The authorities are conducting collective discussions and reminders for key personnel in the construction oversight sector to maintain vigilance against corruption [3] Group 4: Ongoing Commitment - The Zhaoqing City disciplinary inspection commission emphasizes a dual approach of immediate corrections and long-term governance to address issues in the construction sector [4] - There is a focus on holding accountable both party members and public officials for any misconduct related to project contracting and bidding processes [4] - The goal is to continuously improve the effectiveness of anti-corruption measures and reduce opportunities for corrupt practices [4]

Financial Data and Key Metrics Changes - Total radiopharmaceutical revenues for Q3 2025 were $1.3 million, an 18% increase compared to Q3 2024, and year-to-date revenues reached $3.6 million, a 24% increase versus 2024 [31] - Year-to-date total operating expenses increased by $16.5 million, or 84%, from $19.7 million in 2024 to $36.2 million in 2025 [32] - Net loss from operations for year-to-date 2025 was $34.9 million, compared to $18.7 million for the same period in 2024 [32] - Cash balance as of September 30, 2025, was $113.9 million, reflecting net proceeds of approximately $56 million from common stock issuance during Q3 2025 [34] Business Line Data and Key Metrics Changes - The multi-isotope plant in South Africa is currently enriching silicon-28 and has shipped commercial samples validated for isotopic purity [4] - The nuclear medical segment has seen growth in volumes and doses sold, leading to increased revenues [9] - The carbon plant is expected to start producing carbon-14, with the first full batch anticipated in January 2026 [8] Market Data and Key Metrics Changes - The acquisition of Renergen is expected to enhance the company's capabilities in the semiconductor gas vertical, with regulatory approvals nearly complete [5] - The company has secured a contract for silicon-28 and aims to fulfill customer orders by 2026 [4] Company Strategy and Development Direction - The company aims to diversify its operations beyond South Africa and expand its radiopharmaceutical footprint globally [70] - Quantum Leap Energy (QLE) plans to secure the nuclear supply chain and has raised $64.3 million via convertible notes to support its initiatives [13][14] - The acquisition of Skyline Builders is part of a strategy to secure critical material supply chains essential for the U.S. and ASP Isotopes [21] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the operational capabilities and customer relationships, emphasizing the positive feedback from customers regarding the enrichment processes [38] - The focus for the next six months includes completing the Renergen acquisition and achieving operational de-risking by the end of Q1 2026 [39][40] - The company is committed to providing further guidance on revenue projections as clarity improves internally [52][53] Other Important Information - The company is planning to begin construction of new plants in various locations, including Iceland, the U.S., and the U.K., during 2026 [29] - The first quantum enrichment plant is producing ytterbium-176, with commercial quantities expected in the first half of 2026 [7] Q&A Session Summary Question: Can you talk about the delays in shipping Silicon-28? - Delays were due to the complexity of the production process and modifications made after customer visits, which improved the customer-supplier relationship [37][38] Question: When do you expect to achieve operational de-risking in respect of Renergen? - Operational de-risking is expected by the end of Q1 2026, focusing on completing phase 1C of the project [39][40] Question: When will the company begin to recognize revenue in its isotopes enrichment segment? - Revenue recognition for carbon is expected by the end of December, with silicon isotopes anticipated in the first half of 2026 [41][42] Question: What did the customers say about our samples of both Ytterbium and Silicon? - Customers were pleased with the results of the samples, indicating that the technology works effectively [44][47] Question: Is the $50-$70 million revenue opportunity in 2026 and 2027 still valid? - The company is not changing previous guidance and will provide updates as more clarity is achieved [49][50][52] Question: Can you help us understand the capital commitment in 2026 for new facilities? - Detailed breakdowns of capital commitments and revenue opportunities will be provided in future updates [54][55] Question: Can you discuss the opportunity for LEU Plus? - LEU Plus is a new focus based on customer inquiries, aimed at increasing power density and extending the life of existing nuclear power plants [56][60] Question: Should we model the $3 million revenue from Skyline Builders going forward? - The revenue from Skyline Builders is not expected to continue, as the focus will shift away from construction [64][66]

Group 1 - The company Shandong Road and Bridge (SZ 000498) held its 20th meeting of the 10th board of directors on November 21, 2025, to discuss the proposal for participating in the bidding for the Yiyuan to Zoucheng expressway project [1] - For the first half of 2025, the company's revenue composition was as follows: construction industry accounted for 95.75%, leasing and sales for 2.66%, ready-mixed concrete processing and sales for 1.02%, and design consulting for 0.57% [1] - As of the report date, Shandong Road and Bridge had a market capitalization of 9.3 billion yuan [1]

董事会认为公司拥有人应占亏损净额乃主要由于建筑合约收入由截至2024年9月30日止六个月的1.042亿 港元大幅下降至截至2025年9月30日止六个月的1060万港元，此乃由于物业市场整体低迷及集团在此期 间承接新项目的项目价值减少所致。 中国新消费集团(08275)发布截至2025年9月30日止六个月业绩，收益1220.8万港元，同比下降88.5%;净 亏损831.9万港元，同比扩大495.5%;每股基本亏损1.1港仙。 ...

董事会认为公司拥有人应占亏损净额乃主要由于建筑合约收入由截至2024年9月30日止六个月的1.042亿 港元大幅下降至截至2025年9月30日止六个月的1060万港元，此乃由于物业市场整体低迷及集团在此期 间承接新项目的项目价值减少所致。 智通财经APP讯，中国新消费集团(08275)发布截至2025年9月30日止六个月业绩，收益1220.8万港元， 同比下降88.5%;净亏损831.9万港元，同比扩大495.5%;每股基本亏损1.1港仙。 ...

- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot spots. The model is based on momentum and trend-following strategies, emphasizing stocks that consistently hit new highs. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{Close_{t}}{ts\_max(Close, 250)} $ where $ Close_{t} $ represents the latest closing price, and $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days. If the latest closing price reaches a new high, the distance equals 0; otherwise, it is a positive value indicating the degree of fallback [11][12][13] - The report evaluates the model positively, citing its ability to capture market leaders and trends effectively. It references studies by George (2004), William O'Neil, and Mark Minervini, which highlight the importance of tracking stocks near their 52-week highs for superior returns [11][18] - The report provides backtesting results for the "250-day new high distance" model across major indices as of November 21, 2025. The distances are: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45% [12][13][32] - The report introduces a factor named "Stable New High Stocks" to identify stocks with smooth price paths and sustained momentum. The factor construction involves: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative strength: Top 20% in 250-day price change - Price stability: Ranking top 50% based on metrics like price displacement ratio and smoothness of 250-day new high distance over the past 120 days - Trend continuation: Ranking top 50 stocks based on the average 250-day new high distance over the past five days [24][27][28] - The report evaluates the "Stable New High Stocks" factor positively, citing research by Turan G Bali et al. (2011) and Da et al. (2012), which demonstrate the superior returns of stocks with smooth momentum paths compared to those with jumpy price movements [24][27] - Backtesting results for the "Stable New High Stocks" factor show 15 selected stocks, including Heertai, Sray New Materials, and Zangge Mining. These stocks are distributed across manufacturing and cyclical sectors, with manufacturing focusing on construction and cyclical sectors on non-ferrous metals [28][31][33]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to monitor market trends and identify potential market leaders. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ represents the latest closing price - $\text{ts\_max(Close, 250)}$ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies market trends and highlights stocks or indices that are leading the market, aligning with the principles of momentum and trend-following strategies[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable price paths and consistent momentum, as smoother price trajectories are associated with stronger momentum effects[24][27]. - **Model Construction Process**: The selection process involves the following criteria: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **Sustainability of New Highs**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][27]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus yield stronger returns[24][27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Stable New High Stock Selection Model - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative distance of a stock's price from its 250-day high, serving as an indicator of momentum and trend strength[11]. - **Factor Construction Process**: The formula is: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ is the latest closing price - $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, making it a reliable indicator for identifying market leaders[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period - Rank stocks based on this ratio and select the top performers[24]. - **Factor Evaluation**: The factor highlights stocks with stable momentum, which are less likely to attract excessive attention and thus yield stronger returns[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33]

投资咨询业务资格：证监许可【2011】1778 号 期货研究报告 姓名：涂伟华 宝城期货投资咨询部 从业资格证号：F3060359 投资咨询证号：Z0011688 电话：0571-87006873 邮箱：tuweihua@bcqhgs.com 作者声明 本人具有中国期货业协会 授予的期货从业资格证书，期 货投资咨询资格证书，本人承 诺以勤勉的职业态度，独立、 客观地出具本报告。本报告清 晰准确地反映了本人的研究观 点。本人不会因本报告中的具 体推荐意见或观点而直接或间 接接收到任何形式的报酬。 钢材&铁矿石 | 日报 2025 年 11 月 21 日 钢材&铁矿石日报 专业研究·创造价值 现实格局偏弱，钢矿延续震荡 核心观点 螺纹钢：主力期价震荡运行，录得 0.07%日涨幅，量仓收缩。现阶段， 螺纹需求有所好转，但持续性存疑，相反供应也在回升，供需双增局面 下螺纹基本面表现依旧不佳，钢价继续承压，相对利好的是估值偏低， 预计走势延续低位震荡运行态势，关注需求表现情况。 热轧卷板：主力期价震荡运行，录得 0%日跌幅，量仓收缩。目前来看， 热卷供需格局有所好转，库存再度去化，但供应压力未解，且需求韧性 存疑，基本 ...