Core Viewpoint - Lin Yuan Investment has been increasingly active in A-share market, participating in multiple company research activities and IPOs, indicating a strategic focus on essential consumer goods and biopharmaceuticals [2][5][8]. Group 1: Research Activities - Lin Yuan Investment participated in 8 research activities involving 7 A-share listed companies by the end of July 2025, a significant increase from only 2 companies in the same period last year [2][5]. - The sectors of the researched companies include 2 biopharmaceuticals, 2 automotive industry companies, and 1 each from food, semiconductor, and new materials, showing a preference for medical and essential consumer stocks [5]. - The two biopharmaceutical companies researched focus on surgical medical devices and the development of innovative drugs for cancer and autoimmune diseases [5][6]. Group 2: Market Performance - The two biopharmaceutical companies have shown strong market performance, with one increasing over 18% and the other by 44.31% year-to-date as of August 5, 2025 [6]. - Among the 7 researched companies, Feilong Co., a veteran automotive parts manufacturer, has the best performance with a year-to-date increase of 57.08% [6]. - Feilong Co. has been actively engaging with investors, receiving 153 institutional research visits, including from notable private equity firms [6]. Group 3: IPO Participation - Lin Yuan Investment has participated in 41 IPOs this year, with the highest first-day return reaching 606.83% for Jiangnan New Materials [8][9]. - The average first-day increase for the 41 IPOs Lin Yuan participated in is over 220%, reflecting a strong market for new listings [9]. - The participation in IPOs has been driven by a tightening IPO environment, with a significant drop in the number of new listings, making new stocks more scarce and attractive [8].

↑点击上面图片 加雪球核心交流群 ↑ 风险提示：本文所提到的观点仅代表个人的意见，所涉及标的不作推荐，据此买卖，风险自负。 作者： 持有封基 当时我想我大概命中注定和股市绝缘 ， 所以一气之下10多年就没碰股票 ， 一直到2006年轰轰 烈烈的大牛市开始 。 来源：雪球 从1991年中国发行第一张股票认购证开始到今天已经整整34年了 。 虽然我是从2006年年底半 程参与 ， 但其实从1991年开始就和股票有所接触 。 虽然整体收益超过了大部分人 ， 但期间也 犯过很多错误 。 下面就按照时间顺序把对我印象深刻的几次错做一个回顾 。 第一次 ： 1992年 ， 因噎废食错失股市10多年 1991年年初发行的股票认购证 ， 是30元一张 ， 当年我们的工资才100多元 ， 相当于现在如果 1万多元工资要让你花费3000元去买一张虚无缥缈的认购证 ， 还是有很多人会犹豫的 。 我当在 发行最后一天去银行想再了解一下 ， 结果工作人员因为快要下班了 ， 很不耐烦的说你要买就买 ， 问那么多干吗 ？ 我一气之下就走了 。 后来的事情大家都知道了 ， 这30元一张的认购证 ， 黑市市场的交易价就曾经高达1万元 。 这 ...

Quantitative Models and Construction Methods Model Name: New Stock Issuance Model - **Construction Idea**: The model aims to track the performance of newly issued stocks in various market segments, including the main board, ChiNext, and STAR Market[1][12][22]. - **Construction Process**: - Collect data on the number of new stocks issued, the amount of funds raised, and the first-day price performance. - Calculate the average first-day price increase for each market segment. - Formula: $ \text{Single Account Stock Return} = \min(\text{Account Size}, \text{Subscription Limit}) \times \text{Winning Rate} \times \text{Return Rate} $ $ \text{A/B/C Class Investors Full Return} = \text{Subscription Limit} \times \text{A/B/C Class Offline Winning Rate} \times \text{Return Rate} $ - Parameters: - Winning Rate: Actual winning rate of offline new stock issuance. - Return Rate: For new stocks listed on the STAR Market and ChiNext, and under the comprehensive registration system on the main board, the return rate is the first-day average transaction price relative to the issue price. For non-registration system main board stocks, the return rate is the average transaction price on the opening day relative to the issue price[40][41][42]. - **Evaluation**: The model provides a comprehensive view of the performance of new stock issuances across different market segments, helping investors understand the potential returns from participating in new stock offerings[1][12][22]. Model Backtesting Results New Stock Issuance Model - **Main Board**: - A Class: Monthly return rate 0.159%, cumulative return 1.000%[41][42][47] - C Class: Monthly return rate 0.141%, cumulative return 0.908%[41][42][47] - **ChiNext**: - A Class: Monthly return rate 0.035%, cumulative return 1.128%[41][45][47] - C Class: Monthly return rate 0.034%, cumulative return 0.989%[41][45][47] - **STAR Market**: - A Class: Monthly return rate 0.064%, cumulative return 0.547%[41][46][47] - C Class: Monthly return rate 0.063%, cumulative return 0.527%[41][46][47] Quantitative Factors and Construction Methods Factor Name: New Stock Performance Factor - **Construction Idea**: This factor aims to measure the performance of new stocks on their first day of trading, providing insights into the potential returns from participating in new stock offerings[1][12][22]. - **Construction Process**: - Collect data on the first-day price performance of new stocks. - Calculate the average first-day price increase for each market segment. - Formula: $ \text{First-Day Price Increase} = \frac{\text{First-Day Closing Price} - \text{Issue Price}}{\text{Issue Price}} \times 100\% $ - Parameters: - First-Day Closing Price: The closing price of the stock on its first day of trading. - Issue Price: The price at which the stock was issued[1][12][22]. - **Evaluation**: This factor provides a clear measure of the initial performance of new stocks, helping investors gauge the potential returns from participating in new stock offerings[1][12][22]. Factor Backtesting Results New Stock Performance Factor - **Main Board**: - Average first-day price increase: 276.29%[22][23] - **ChiNext**: - Average first-day price increase: 356.00%[22][23] - **STAR Market**: - Average first-day price increase: 174.56%[22][23] Fund Product Performance Fund Product Performance in New Stock Offerings - **Construction Idea**: Measure the participation and success rate of fund products in new stock offerings, and calculate their estimated returns based on their participation and winning rates[57][58][59]. - **Construction Process**: - Collect data on the participation and winning rates of fund products in new stock offerings. - Calculate the estimated returns based on the latest fund quarterly report. - Formula: $ \text{Participation Rate} = \frac{\text{Number of New Stocks Quoted}}{\text{Total Number of New Stocks Issued}} $ $ \text{Winning Rate} = \frac{\text{Number of Valid Quotes}}{\text{Number of New Stocks Quoted}} $ - Parameters: - Participation Rate: The rate at which the fund product participates in new stock offerings. - Winning Rate: The rate at which the fund product's quotes are accepted[57][58][59]. - **Evaluation**: This method provides a detailed view of the performance of fund products in new stock offerings, helping investors understand the potential returns from participating in new stock offerings through fund products[57][58][59]. Fund Product Backtesting Results Fund Product Performance - **Top Performing Funds**: - Middle European Shanghai-Shenzhen 300 Index A: Estimated return rate 0.337%[57][58][59] - ICBC Quality Selection A: Estimated return rate 0.33%[57][58][59] - Huatai-PineBridge Innovation Power: Estimated return rate 0.33%[57][58][59] Institutional Performance Institutional Performance in New Stock Offerings - **Construction Idea**: Measure the participation and success rate of institutions in new stock offerings, and calculate their estimated returns based on their participation and winning rates[60][61][62]. - **Construction Process**: - Collect data on the participation and winning rates of institutions in new stock offerings. - Calculate the estimated returns based on the latest institutional quarterly report. - Formula: $ \text{Participation Rate} = \frac{\text{Number of New Stocks Quoted}}{\text{Total Number of New Stocks Issued}} $ $ \text{Winning Rate} = \frac{\text{Number of Valid Quotes}}{\text{Number of New Stocks Quoted}} $ - Parameters: - Participation Rate: The rate at which the institution participates in new stock offerings. - Winning Rate: The rate at which the institution's quotes are accepted[60][61][62]. - **Evaluation**: This method provides a detailed view of the performance of institutions in new stock offerings, helping investors understand the potential returns from participating in new stock offerings through institutional products[60][61][62]. Institutional Backtesting Results Institutional Performance - **Top Performing Institutions**: - GF Fund: Estimated return rate 1.74 billion[60][61][62] - China Asset Management: Estimated return rate 1.51 billion[60][61][62] - E Fund Management: Estimated return rate 1.33 billion[60][61][62]

【深圳商报讯】（记者 钟国斌）据记者统计，今年前7个月，58只新股上市首日无一破发，新股上市首 日平均涨幅达231.85%。随着新股上市首日大幅上涨，"打新"赚钱效应显著回升。按照上市首日收盘价 计算，今年前7个月上市新股中，有46只新股上市首日中一签可赚超1万元。 从新股上市表现来看，今年前7个月，58只新股上市首日平均涨幅为231.85%，而去年同期49只新股上 市首日平均涨幅为135%。今年前7个月上市的58只新股中，51只新股上市首日涨幅超100%，33只新股 上市首日涨幅超200%，15只新股上市首日涨幅超300%，5只新股上市首日涨幅超400%。涨幅前三名新 股分别为江南新材、广信科技、悍高集团，涨幅分别达606.83%、500.00%、418.50%。 从换手率来看，58只新股上市首日平均换手率为78.86%，其中首日换手率超过80%的有28家，首日换手 率超过85%的有6家，换手率前6只新股上市首日涨幅均超过2倍，由此可见中签者在上市首日卖出的不 在少数。 从新股上市首日盈利来看（北交所中签100股，其余新股中签500股），不计算北交所新股，今年前7个 月，沪深两市上市的52只新股中，上市首日 ...

Group 1: New IPOs and Offerings - This week, there are three new stocks available for subscription, including one from the Shanghai Stock Exchange, one from the ChiNext, and one from the Beijing Stock Exchange [1] - The Shanghai Stock Exchange new stock Tianfulong has an issue price of 23.6 yuan per share and a price-to-earnings ratio of 20.93 times, while the industry average dynamic price-to-earnings ratio is 30.31 times [2] - The Beijing Stock Exchange new stock Youli Intelligent has an issue price of 23.99 yuan per share and a price-to-earnings ratio of 11.75 times, with the industry average dynamic price-to-earnings ratio at 27.03 times [2] Group 2: Company Profiles and Business Operations - Tianfulong specializes in the research, production, and sales of differentiated polyester short fibers, with a production capacity of 612,400 tons per year, ranking ninth in the native polyester short fiber sector and second in the recycled polyester short fiber sector [2][3] - Guangdong Jianke, which will start its IPO subscription on August 1, provides inspection and testing technology services in the construction engineering field, having participated in major projects like the Hong Kong-Zhuhai-Macao Bridge and Guangzhou Baiyun International Airport [3][4] - DeLijia, which is set to go public on the Shanghai Stock Exchange, focuses on the research, production, and sales of high-speed heavy-duty precision gear transmission products, particularly for wind power generation [5][6] Group 3: Financial Performance and Projections - Tianfulong's projected revenues for 2022 to 2024 are 2.576 billion yuan, 3.336 billion yuan, and 3.841 billion yuan, with net profits of 338 million yuan, 420 million yuan, and 451 million yuan respectively [3] - Guangdong Jianke's expected revenues for the same period are 1.072 billion yuan, 1.154 billion yuan, and 1.197 billion yuan, with net profits of 103 million yuan, 99 million yuan, and 107 million yuan respectively [3][4] - DeLijia aims to raise 1.881 billion yuan for the production of large-scale wind turbine gearboxes, with a projected global market share of 10.36% in 2024, ranking third globally and second in China [5][6]

Core Viewpoint - Index enhancement funds are a specialized subset of index funds, aiming to achieve excess returns relative to a benchmark index through various enhancement strategies [1][4]. Group 1: Types of Enhancement Strategies - There are six common enhancement strategies: fundamental enhancement, quantitative enhancement, IPO subscription, ETF premium/discount arbitrage, ETF futures arbitrage, and index enhancement return swaps [6][69]. - Fundamental enhancement involves overweighting stocks with strong profitability and favorable outlooks, similar to active fund stock selection [5][7]. - Quantitative enhancement utilizes various quantitative factors to capture investment opportunities, including valuation, fundamental, price-related, and sentiment factors [13][15][21]. - IPO subscription allows funds to participate in new stock offerings, typically yielding profits on the first trading day [31][34]. - ETF premium/discount arbitrage exploits price discrepancies between the net asset value and market price of ETFs [37][42]. - ETF futures arbitrage takes advantage of price differences between ETF spot prices and futures prices [55][58]. Group 2: Advantages and Disadvantages of Strategies - Fundamental enhancement has a flexible scale requirement, but may experience volatility in excess returns during unusual market conditions [10][12]. - Quantitative enhancement can yield good excess returns when fund sizes are small, but larger fund sizes may dilute these returns [27][28]. - IPO subscription can provide good excess returns for funds sized between 200 million to 1 billion, but larger funds may see diminished returns [35][36]. - ETF premium/discount arbitrage is flexible and offers stable excess returns, but the effectiveness can be impacted by the scale of participating funds [54]. - ETF futures arbitrage provides stable excess returns but is susceptible to regulatory changes [61]. Group 3: Application of Strategies in Financial Products - Different financial products utilize various enhancement strategies, with public funds commonly employing fundamental and quantitative enhancements, while private funds have more flexibility [66][71]. - Public funds often use IPO subscription and ETF premium/discount arbitrage as auxiliary strategies, while ETF futures arbitrage and index enhancement return swaps are less common [67]. Group 4: Investment Considerations - Investing in small-cap indices tends to yield better enhancement results due to higher retail investor participation and greater price inefficiencies [79][84]. - The scale of the enhancement fund is crucial; funds sized between 200 million to 1 billion are more likely to achieve excess returns [88]. - Investing during undervalued phases of indices can mitigate risks associated with high valuations [90][92]. Group 5: Summary of Findings - The primary source of returns for index enhancement products is the underlying index's profit growth, supplemented by various enhancement strategies [95][96]. - The six enhancement strategies each have unique advantages and disadvantages, with common applications in public and private index enhancement funds [97][98].

Group 1 - N Huaxin (Hua Dian Xin Neng) debuted on the Shanghai Stock Exchange on July 16, with an intraday surge of nearly 220%, reaching a peak price of 10.17 yuan per share, setting a new record for A-shares [1] - The closing price for N Huaxin was 7.18 yuan per share, reflecting a 125.79% increase, with a total trading volume of 12.702 billion yuan, ranking third in A-shares [1] - N Huaxin is the only platform for the integration of China Huadian's wind and solar power generation business, focusing on the development, investment, and operation of renewable energy projects [1] Group 2 - The new stock market has been active this year, with an average first-day increase of 225.42% for 55 new stocks listed in 2025, compared to 134.54% for 47 new stocks in the same period of 2024 [2] - The average issuance price of new stocks this year is 22.69 yuan, down from 25.21 yuan in the same period last year [2] - A total of 48 new stocks have seen first-day increases exceeding 100%, accounting for 87.27% of the total new stocks listed [2] Group 3 - The new stock sector has shown structural strength after a slight weakness in the previous trading week, with analysts suggesting that the active market may continue temporarily [3] - Regulatory policies are expected to support quality IPOs and mergers, enhancing market construction and deepening openness [3] - The pricing of new stocks is becoming more reasonable, and the market environment is improving, leading to significantly increased returns from new stock investments [3]

Core Viewpoint - Huadian New Energy's initial public offering (IPO) was priced at a low 3.18 yuan, making it the cheapest new stock of the year, leading to mixed feelings among investors about potential returns [1][3]. Group 1: Stock Performance - Despite initial skepticism regarding its low price and large market capitalization, Huadian New Energy's stock surged on its debut, opening at 5.50 yuan, a 72.96% increase from the issue price, and reaching a peak of 10.17 yuan, representing a 219.81% rise [3][5]. - The stock closed at 7.18 yuan, resulting in a first-day gain of 125.70% and a market capitalization of 294.2 billion yuan, with a dynamic price-to-earnings ratio of 25.17 [5]. Group 2: Investor Participation - A total of 4.38 million shares were allocated to investors, allowing many to benefit from the IPO, with potential earnings of up to 3,495 yuan per 500 shares [5]. - However, some investors chose not to participate, with 823,000 shares worth approximately 26.17 million yuan being abandoned during the subscription process [5]. Group 3: Market Context - The low issue price of 3.18 yuan meant that even in the event of a price drop on the first day, the potential losses for investors would be limited, as no new stock has experienced a drop below its issue price on the first day in over a year [7].

人麻了，一边 @Sidekick_Labs 直播一边在复盘 PUMP 准备说说本月其他几个大机会，丢帧丢到卡着不动了，我得操作仓位去了实在没法放着新高的 BTC 不看盘一边调试直播推流改到周一下午 6 点再直播，这次一定得调试确认无误了，福袋也是发到一半，下次直播再续上Yuyue (@yuyue_chris):这次 $PUMP 打新我做得好的地方是狡兔三窟，整理了下各个打新的情况链上 + Bitget + Bybit + Gate 都放钱了，Kraken 因为怕老外所忙中出错，所以没放太多。Kucoin 提前就没额度了，Mexc 资金容量小就没去其中 Gate 最骚的，还好单号只给 10 万 u https://t.co/uEr9HYUXdU ...

Market Analysis - Two new addresses appeared in the top 10 holders of PUMP on HYPE yesterday afternoon, while the other eight were profitable traders with millions of dollars in gains [1] - HYPE held $250 million in positions yesterday afternoon, while Binance held $60 million, suggesting potential arbitrage activity [2] - After accounting for potential fake positions on HYPE and arbitrageurs on Binance, there is an estimated $200 million in real positions likely to participate in the new offering [2] - A large number of arbitrageurs are expected to participate in the new offering, reducing the number of naked shorts [2] - The potential total commitment for the new offering is estimated at $300-400 million, suggesting it will be oversubscribed [2] - Oversubscription is expected to drive up the price due to FOMO (fear of missing out) in the secondary market [2] - The offering should have been completed in 2-3 minutes instead of 14 minutes if there were no exchange issues [2]