量化交易的浪潮正以超出预期的速度奔涌而至。媒体报道，多家量化私募创始人普遍认为，当前量化交 易在全市场成交量的占比突破20%大关。这一显著比例，标志着市场结构性的变迁，也向证券投顾机构 抛出了一个紧迫的新命题：如何驾驭这股强劲的技术力量，将其转化为普惠金融的工具，从而更精准、 更高效地赋能广大投资者。 "量化共赢 智领新程"——11月18日，九方智投控股（9636.HK）旗下九方智投与非凸科技举行战略合作 签约，共同探索量化服务投资者新路径，同时，九方智投重磅发布"星级服务"产品。"星级服务"依托九 方智投自身量化研发实力及外部优质量化资源，通过量化策略、指标工具、资讯投教等多模块，全方位 适配并服务个人投资者，提升其投资能力与体验。 量化交易迎个人投资新纪元，投资或步入"智能驾驶"阶段 发布会上，九方智投控股创始人、董事会主席兼CEO陈文彬在题为《个人投资者量化新纪元》的演讲 中，系统阐述了量化交易的发展趋势。 他指出，量化交易体系涵盖五大核心技术模块，包括策略研发与建模、回测与验证、执行系统、风险管 理和IT基础设施。从策略频率来看，主要可分为高频、中频和低频三类。目前，B端用户以中高频策略 为主，而C端 ...

Core Viewpoint - The rise of quantitative trading is transforming the market structure, with its share of total market trading volume surpassing 20%, prompting a need for financial advisory institutions to harness this technology for broader financial inclusion [1][2][10] Group 1: Quantitative Trading Trends - Quantitative trading encompasses five core technology modules: strategy development and modeling, backtesting and validation, execution systems, risk management, and IT infrastructure [3] - The current market sees B-end users primarily utilizing medium to high-frequency strategies, while C-end users focus on medium to low-frequency strategies [3] - The effectiveness of quantitative trading relies on three foundational conditions: long/short tools, robust infrastructure, and ample market liquidity [3] Group 2: Strategic Collaborations - A strategic partnership was formed between Jiufang Zhitu and Feitu Technology to explore new pathways for quantitative services for investors, alongside the launch of the "Star Service" product [1][10] - The "Star Service" aims to provide accessible professional quantitative financial services to individual investors by integrating self-developed quantitative capabilities with ecosystem resources [8][9] Group 3: Technological Empowerment - Feitu Technology focuses on providing one-stop smart trading service solutions for small and medium investors, leveraging AI algorithms and machine learning technologies [6] - The collaboration between Jiufang Zhitu and Feitu Technology signifies a commitment to making advanced trading technologies accessible to a broader range of investors [10] Group 4: Future Outlook - The launch of the "Star Service" and the partnership between Jiufang Zhitu and Feitu Technology mark a new phase in the Chinese quantitative investment landscape, aiming to democratize access to previously exclusive trading technologies [10] - The initiative is seen as a significant step towards achieving investment equality, allowing individual investors to benefit from professional tools and smarter decision-making [10]

Core Viewpoint - Robinhood has launched a tokenized stock and ETF service in the EU, allowing users to invest in over 200 US stocks and ETFs with 24/5 real-time trading capabilities, marking a significant step towards democratizing investment access [4][6]. Group 1: Tokenization and Investment Access - The introduction of tokenized stocks allows users to purchase contracts that track the stock prices of companies, recorded on the blockchain, enabling broader participation in investments [6][10]. - Robinhood's CEO Vlad Tenev describes this move as a form of "investment equity," allowing millions of customers to engage in investments that were previously inaccessible, particularly in private companies like SpaceX and OpenAI [8][9]. - The EU's regulatory environment is more flexible compared to the US, which facilitates the tokenization of private companies [5][10]. Group 2: Market Dynamics and Regulatory Environment - The trend of private companies remaining unlisted is creating barriers for ordinary investors to benefit from their growth, as highlighted by industry experts [9][10]. - Robinhood's tokenized stocks are classified as derivatives under the MiFID II regulation, with underlying assets held by licensed US institutions, indicating a structured approach to compliance [10]. - Future regulatory developments in the US are anticipated to involve the SEC, with discussions already taking place regarding the approval of stock tokens [10]. Group 3: Market Reactions and Trends - Following the announcement of the tokenized service, Robinhood's stock price saw a significant increase of 12.8% on June 30, with a cumulative rise of 41.5% in June [18]. - The interest in cryptocurrency and stablecoins is growing among institutional investors, indicating a shift in asset allocation strategies [13][14]. - The boundaries between retail and institutional investors, as well as between crypto and traditional assets, are becoming increasingly blurred, leading to enhanced liquidity but also greater price volatility [17].

Core Insights - Robinhood has launched a tokenized stock and ETF service in the EU, allowing eligible users to trade over 200 US stocks and ETFs, including major companies like Nvidia, Microsoft, Apple, and Amazon [1] - The service includes tokenization of private companies like SpaceX and OpenAI, attributed to the EU's more flexible regulatory environment [1] - Robinhood's CEO, Vlad Tenev, views this as a step towards "financial equity," enabling broader access to investments that were previously limited to high-net-worth individuals [3] Group 1: Robinhood's Tokenization Service - The tokenized stocks represent contracts that track the underlying company's stock price and are recorded on the blockchain [1] - Users can only trade these tokens on Robinhood's platform, which acts similarly to an exchange, and transactions are conducted in USD with a 0.10% foreign exchange fee for Euro conversions [2] - The service is regulated under MiFID II, with underlying assets held by licensed US institutions, and Tenev anticipates future SEC oversight for these tokenized stocks [4] Group 2: Market Dynamics and Trends - The trend of private companies remaining unlisted is highlighted, with significant valuations making it difficult for ordinary investors to participate in their growth [3] - The regulatory landscape is evolving, with Chinese brokers like Guotai Junan International obtaining licenses to offer virtual asset trading, indicating a shift in asset allocation strategies [5] - Institutional interest in cryptocurrencies is increasing, with reports showing a net inflow trend for both cryptocurrencies and gold in the near future [5] Group 3: Market Performance - Following the announcement, Robinhood's stock price rose by 12.8%, although it experienced a slight decline of 1.39% the following day, with a market capitalization of $81.48 billion [7] - The stock has seen significant gains, with a 41.5% increase in June and a 34.7% rise in May [7]

Core Viewpoint - The article discusses the transformative impact of AI technology on investment opportunities and challenges, highlighting the emergence of new investment strategies and sectors driven by AI advancements. Group 1: AI Technology and Investment Opportunities - The emergence of DeepSeek is reshaping the localization logic of AI in China, with historical precedents indicating that each technological breakthrough creates a new wave of successful companies [3] - DeepSeek is seen as a pivotal moment for China, potentially transforming weak applications into strong AI applications, leading to significant growth stories worth trillions of dollars [3] - Investment strategies are focusing on two main logics: AI+X, where AI serves as infrastructure empowering various industries, and X+AI, which targets upgrades in smart hardware [4] Group 2: AI in Healthcare and Other Sectors - The introduction of DeepSeek is expected to democratize technology, allowing traditional software companies to adopt AI, thus lowering the barriers for enterprises and individuals to utilize AI services [5] - AI applications in healthcare are anticipated to create new business models, particularly for companies that can help pharmaceutical firms reduce R&D costs and time [5][6] - Current AI applications are in a rapid iteration phase, with sectors like humanoid robots and AI healthcare poised for significant growth [6] Group 3: Investment Dynamics and Market Trends - The rapid development of AI models like DeepSeek is leading to an era of investment democratization, enabling ordinary investors to leverage complex models for stock analysis and asset allocation [8] - The market is currently experiencing a phase where investors are enthusiastic about AI, but there is a need to match asset quality with pricing to avoid volatility [9] - As the market matures, the focus will shift from thematic investments to fundamental-based investments, with a need for caution as valuations may reach their limits [10]