Core Viewpoint - OpenClaw demonstrates the ability to construct investment strategies and provide signal alerts, showcasing its unique advantages in market tracking and task execution [1][4][36]. Group 1: OpenClaw Usage Scenarios - OpenClaw can autonomously deploy a quantitative environment, extract data, and construct various quantitative strategies, highlighting its operational efficiency [1]. - The platform is integrated with Tushare's database via API, allowing for seamless data extraction and strategy development [1][6]. Group 2: Investment Strategy Construction - The initial phase involves data extraction, where complete index data is stored locally for subsequent calculations [3]. - OpenClaw successfully completes the full process from data extraction to strategy construction and analysis, showing good reasoning capabilities in strategy design [4]. - The platform can monitor constructed strategies daily and provide alerts on whether to open positions [4]. Group 3: Initial Investment Calculations - OpenClaw conducts initial investment calculations by comparing one-time investments, monthly investments, and basic intelligent investment strategies [7]. - The importance of aligning time dimensions for accurate comparisons between different investment strategies is emphasized [7][10]. Group 4: Internal Rate of Return (IRR) Analysis - OpenClaw initially misinterprets the comparison of returns between investment strategies, favoring simple return rates over internal rates of return (IRR) [10]. - After guidance, OpenClaw successfully incorporates IRR as a core metric for evaluating investment strategies, demonstrating its learning capabilities [10][14]. Group 5: Complex Strategy Development - OpenClaw autonomously constructs six complex intelligent investment strategies using various technical indicators, showcasing its technical application abilities [15]. - The strategies include multi-tiered investment mechanisms based on different market conditions, enhancing flexibility and adaptability [15][17]. Group 6: Performance Comparison of Strategies - The performance of different strategies is compared based on their IRR, with the baseline intelligent investment strategy showing the highest IRR at 6.49% [22]. - The RSI oversold strategy emerges as a strong performer, particularly in risk control and drawdown management [22][34]. Group 7: Risk Assessment of Strategies - OpenClaw develops risk indicators tailored to investment strategies, assessing metrics such as the proportion of time below cost price and maximum drawdown [28][30]. - The 60-day moving average strategy is identified as the most balanced in terms of performance, despite its lower frequency of trades [31]. Group 8: Future Considerations - OpenClaw's initial user experience is hindered by a lack of foundational market knowledge and issues with model hallucinations, which can lead to errors [36][37]. - Continuous improvement in OpenClaw's learning capabilities and error correction mechanisms is essential for enhancing its efficiency in investment research [36][37].

1. Report Industry Investment Rating No relevant information provided in the report. 2. Core View of the Report - OpenClaw demonstrates comprehensive task execution ability in constructing ETF fixed - investment strategies, including full - process execution from data extraction to strategy construction, code writing, and timed prompts, as well as good thinking ability in constructing fixed - investment strategies and risk indicators [3][57]. - Although OpenClaw has some minor issues such as low - level errors and data hallucinations, it can gradually meet user needs as it learns about the stock market, quantitative research logic, and investor habits. Some low - level errors can be corrected through skill solidification or dialog box instructions, while others require framework upgrades [57][58]. - After considering idle capital costs, the RSI oversold strategy outperforms the 60 - day moving average strategy in terms of annualized return, and the RSI fixed - investment strategy shows relatively better overall performance among the six strategies [40][43]. 3. Summary by Directory 3.1 OpenClaw's Typical Use Scenarios: Strategy Construction and Signal Prompting - OpenClaw can autonomously deploy the quantitative environment, extract data, and calculate quantitative strategies. It can also perform market tracking, execute timed tasks, and complete a series of process - based actions, which differentiates it from other platforms. The report attempts to use OpenClaw to construct a fixed - investment strategy and a signal timed prompt system based on the Cathay CSI A500 ETF (159338) [5]. 3.2 Using OpenClaw for Fixed - Investment Strategy Construction 3.2.1 Preparation: Data Extraction - Read relatively complete index data and save it locally. Connecting OpenClaw to the API interface of the data source makes the overall process smoother, eliminating the need for manual pre - processing of data [6][9]. 3.2.2 Initial Fixed - Investment Calculation: Guidance and Correction - Guide OpenClaw to perform initial fixed - investment calculations through the dialogue window, comparing the performance of simple one - time investment, ordinary monthly investment, and basic intelligent fixed - investment. After guiding OpenClaw to use the internal rate of return (IRR) as the core income assessment indicator, it can focus on using IRR for comparison in subsequent calculations. However, OpenClaw requires a long - time and high - degree of manual guidance due to inaccurate understanding of fixed - investment content and the exacerbation of hallucination phenomena after the DeepSeek large model is connected [10][13][15]. 3.2.3 Design and Income Comparison of Intelligent Fixed - Investment Strategies - Without providing clear strategy construction prompts, OpenClaw successfully constructs 6 types of complex intelligent fixed - investment strategies, using diverse technical indicators such as multiple moving averages and RSI. It also incorporates multi - level加仓 mechanisms, enhancing the flexibility and market adaptability of the strategies. After calculating the IRR of these strategies, the 60 - day moving average strategy performs well in terms of win - rate and income [19][20][30]. 3.2.4 Further Comparison of Fixed - Investment Strategies - Request OpenClaw to design exclusive risk indicators for fixed - investment strategies. By comparing the risk control and drawdown of each strategy, the 60 - day moving average strategy shows better comprehensive performance. After considering idle capital costs, the RSI oversold strategy becomes the one with the highest annualized return. Finally, parameter sensitivity tests are conducted on each strategy, and the RSI fixed - investment strategy shows relatively better overall performance [33][36][43]. 3.3 Construction of a Signal Prompt System Based on the Cathay CSI A500 ETF (159338) 3.3.1 Basic Information of the Cathay CSI A500 ETF - Ask OpenClaw to display the investment - related basic information of the Cathay CSI A500 ETF, including code, establishment date, fund manager, scale, tracking error, etc., providing comprehensive reference for investors [45]. 3.3.2 OpenClaw's Daily Tracking and Signal Prompting - Request OpenClaw to establish a timed task to track the performance of 6 types of fixed - investment strategies on the Cathay CSI A500 ETF daily and provide signals. OpenClaw successfully completes the establishment of this timed task, and an example of the monitoring and push results on March 17, 2026, shows that 4 out of 6 strategies issue buy signals [51][55][56]. 3.4 Thoughts and Summary - OpenClaw shows comprehensive task execution ability but has problems such as lack of basic market knowledge and model hallucinations, which affect the initial user experience. Some issues can be solved through learning and framework upgrades, and it is expected to significantly improve the efficiency of investment research in the future [57][58].

Group 1 - The event "King's Little Two Club National Tour Investment Salon" was held in Taiyuan, focusing on ETF investment strategies and allocation directions, coinciding with significant milestones in the A-share market and ETF total scale [1][6] - As of August 25, the total scale of ETFs in the market has surpassed 5 trillion yuan, reflecting a growth of over 1 trillion yuan since the end of last year, with an increase of nearly 30% [6] - The salon featured experts from various institutions, including Shenzhen Stock Exchange and Bosera Fund, discussing ETF investment strategies and asset allocation methodologies [3][4] Group 2 - The salon included a presentation on the latest developments in the Shenzhen ETF market and key ETF products [7] - A discussion on asset allocation strategies was led by Dongwu Securities' chief strategist, addressing the impact of various economic factors on asset allocation [9] - Bosera Fund's manager shared insights on ETF investment strategies, particularly focusing on gold ETFs and their role as a hedge against economic uncertainties [11][13] Group 3 - The event also featured a session on investment advisory practices, providing a comprehensive analysis of the investment advisory methodology from a brokerage perspective [14] - Interactive activities were organized to engage participants, fostering a lively atmosphere for discussions on ETF investment [16][18] - The salon included fun activities and giveaways, enhancing participant engagement and community building [20]

Core Viewpoint - The article emphasizes the growing interest among investors in utilizing ETFs (Exchange-Traded Funds) as a strategy for wealth accumulation amidst a volatile market environment [2]. Event Details - The event titled "Windy Market New, Investment Win-Win Gold" is scheduled for August 28, 2025, from 13:00 to 16:20 at the Sheraton Hotel in Taiyuan [3][9]. - The event will feature in-depth discussions on ETF investment strategies and market trends, aiming to help participants navigate wealth growth opportunities [2][3]. Guest Speakers and Topics - Zhao Huanhuan, Senior Manager of the Fund Department at Shenzhen Stock Exchange, will present on "Introduction to the ETF Market and Key Products," focusing on new trends in ETF market development [6]. - Chen Gang, Chief Strategy Analyst at Dongwu Securities, will discuss "Breaking and Establishing Asset Allocation in the New Era," exploring effective asset allocation strategies [6]. - Wang Xiang, Fund Manager at Bosera Fund's Index and Quantitative Investment Department, will share insights on "ETF Investment Strategies and Value," analyzing ETF allocation logic and investment opportunities [6]. - Zhang Xiaofeng, a star investment advisor from China Galaxy Securities, will provide a comprehensive analysis from "Professional Methodology to Practical Business Development," sharing experiences in achieving business breakthroughs [6]. Interactive Activities - The event will include engaging activities such as a check-in interaction, gift giveaways, and a community red envelope rain, creating a lively atmosphere for participants [3][4].

Core Viewpoint - The event "ETF Lecture Hall" in Qingdao aims to enhance understanding of ETF investment strategies and promote long-term investment through systematic investment plans, contributing to the high-quality development of the capital market [1][3]. Group 1: ETF Characteristics and Market Trends - ETFs are characterized by diversification, good liquidity, low cost, and high transparency, leading to a significant increase in their recognition and acceptance due to ongoing policy benefits and market optimization [3]. - The Shenzhen Stock Exchange (SZSE) is expanding its index toolbox to meet diverse risk preferences, focusing on transforming ETF systematic investment from a niche strategy to a mainstream tool for investors [3][5]. Group 2: Investment Strategies and Insights - The fund manager from Harvest Fund shared insights on asset performance and allocation strategies in different market environments, emphasizing the importance of asset allocation in the current era of scarce alpha [3]. - The concept of systematic investment in index funds, as advocated by Warren Buffett, is gaining traction among ordinary investors, with ETF systematic investment strategies expected to play a crucial role in fostering long-term investment mindsets [3][5]. Group 3: Industry Engagement and Investor Education - The SZSE is committed to investor-centric initiatives, conducting activities like "Walking into Component Stock Companies" to enhance communication between investors and listed companies, thereby supporting the development of a modern industrial system [5]. - The collaboration between SZSE and Harvest Fund in these educational activities is part of a broader effort to implement inclusive finance and build a robust ETF ecosystem [5][6].

Group 1 - The core viewpoint of the news is the launch of the "Daka Dingtou" investor education activity by the Shenzhen Stock Exchange in collaboration with Ant Group, aimed at promoting understanding of ETF investment tools and strategies among investors [1][2] - The activity is guided by the Fund Management Department of the Shenzhen Stock Exchange and involves participation from several leading fund companies, including E Fund, Fuguo Fund, and Huaxia Fund, among others [1] - The event will run from May 15 to June 30, providing ample time for investors to participate and learn about the long-term and stable characteristics of ETF investment strategies [1] Group 2 - The investor education initiative represents an innovative practice in capital market education, combining authoritative guidance, platform technology, and industry collaboration to create a new paradigm for investor education [2] - The activity is expected to enhance investor awareness of the value of ETF regular investment, fostering a positive market atmosphere for medium to long-term capital inflow [2]

Group 1 - The domestic ETF market has experienced significant growth, reaching a total scale of 3.81 trillion yuan as of March 26, 2025, with a rapid increase from 1 trillion yuan in 17 years to 3 trillion yuan in just 3 years, and then to 3.81 trillion yuan in only 9 months [1] - The Shenzhen Stock Exchange (SZSE) is actively exploring new products and strategies to adapt to different risk preferences, aiming to enhance the market's resilience and improve the supply of quality products [1][3] - The government is promoting comprehensive reforms in the capital market to encourage long-term funds to enter the market, with specific plans to increase the investment scale and proportion of long-term funds in A-shares [3] Group 2 - The SZSE's ETF market has surpassed the 1 trillion yuan mark, with a focus on developing indices that reflect national strategies and new productive forces, thereby providing investors with a diverse range of wealth management tools [4] - A representative from Huaxia Fund emphasized that systematic investment strategies are crucial for individual pension allocation in mature markets, helping investors to mitigate short-term market fluctuations and benefit from economic growth [4][5] - The compounding effect of ETF systematic investment strategies is expected to accelerate investment returns over time, providing stable returns for investors [5]