在全球监管趋严的大趋势中，资金透明度也成为衡量专业度的重要指标。不同于市面上无法解释资金流向的平台，万鑫AI采取持牌机构托管模式，交易执 行路径清晰可追踪、资金不进入平台自有账户，每一笔收益都能被验证。这种制度化透明度，让用户的信任建立在可验证事实之上，而非品牌故事。 更难能可贵的是，万鑫AI并未走"黑箱化"的老路，而是主动向用户公开策略因子报告，解释收益来自哪里、为什么调仓、风险如何触发、模型目前如何看待 市场。这让用户能够真正"看懂 AI"，并形成稳定的投资信心。 真正让万鑫AI在今年全球金融动荡中表现更强的，是其对市场结构的理解能力。系统不依赖单一因子预测，而是基于时间序列 Transformer 与强化学习框 架，从黄金期货数据、CFTC 持仓、ETF 资金流、新闻情绪、宏观政策变动到地缘事件等多模态信息中提取市场信号。美联储会议纪要的鹰派变化、中东局 势升温、美国就业数据反弹、主要央行扩增黄金储备等因素，都被系统快速吸收并转化为交易推理，让 AI 在分钟级别完成策略调整。 与此同时，万鑫AI依靠多策略协同机制而非单策略押注。趋势模型识别中长期方向，波动套利捕捉短线机会，事件驱动模型专门处理突发冲击， ...

Core Insights - The article discusses the emergence of AI trading through the RockAlpha trading competition, marking a significant shift in how users interact with AI in financial markets [1][2][26]. Group 1: AI Trading Competition - RockAlpha initiated a trading competition featuring top AI models like GPT, Grok, and DeepSeek, competing in real-time trading on the U.S. stock market [2]. - The competition is divided into three main arenas: Meme, AI Technology, and Classic, each testing different AI capabilities [10][15][20]. Group 2: Meme Arena - The Meme arena challenges AI's understanding of human emotions and narratives, featuring stocks that embody internet culture and retail sentiment, such as GME and AMC [11][12]. - This arena emphasizes the unpredictability of market behavior, where traditional logic often fails [11]. Group 3: AI Technology Arena - The AI Technology arena focuses on whether AI can outperform humans in understanding its own industry, featuring stocks from the AI supply chain, including NVDA and TSM [15][16]. - This arena tests AI's ability to identify market trends and cycles within the AI sector [16]. Group 4: Classic Arena - The Classic arena serves as a foundational test for AI trading, assessing whether AI can trade like a real investor across various asset classes, including major tech stocks and cryptocurrencies [20]. - It represents a real investment battlefield where AI must balance strategy, risk, and fundamentals [20]. Group 5: User Engagement and Future Implications - Users are no longer passive observers but active participants, able to choose AI models to trade alongside them [33][39]. - The article suggests a future where AI could manage investments across various sectors, making AI a natural choice for capital management [37][39].

Core Insights - RockFlow, a Singapore-based AI fintech company, has completed a $10 million Series A1 funding round led by a prominent internet company founder, with existing shareholders also increasing their stakes [1] - The funds will be used to enhance its AI technology and to launch its financial AI Agent, Bobby [1] - RockFlow operates five offices globally, covering over 30 countries and nine languages, and previously received tens of millions in investment from top Silicon Valley funds [1] Company Developments - In April 2023, RockFlow launched TradeGPT, the world's first trading AI product that utilizes multimodal LLM capabilities to analyze vast market information and price-volume data in real-time [1] - The company believes there is significant potential for AI Agents in the financial investment sector, despite the complexity and higher management demands compared to other industries [1][2] Technology and Features - RockFlow's AI Agent architecture is designed for financial investment scenarios, integrating cutting-edge technologies such as multimodal LLM, Fin-Tuning, RAG, Multi-Agent, and CoT [1] - The AI model enhances understanding and generation capabilities, enabling real-time, efficient multi-source data analysis for better decision-making and risk control [2] Investment Process - The AI Agent simplifies traditional complex processes into four core steps: real-time information acquisition, analysis, trading strategy construction, and order execution [2] - It monitors market dynamics and analyzes various data sources, providing users with personalized real-time trading opportunities and allowing for one-click order placement [2] Personalization and User Experience - The AI Agent can identify user interests and recommend investment opportunities based on natural language input, generating tailored investment strategies [3] - RockFlow's founder emphasizes the need for low-cost, efficient, and controllable outcomes in the financial sector, leading to the development of a unique multi-Agent technology route for a comprehensive trading experience [3] Upcoming Launch - The financial AI Agent product, Bobby, is set to launch globally soon, with a team comprising experts from AI, financial mathematics, and investment trading [3]