Group 1: Core Insights - The A-share market has seen active trading since the "9.24" market event, leading to significant growth in brokerage wealth management and an explosive expansion in AI advisory management scale [1][2] - The trend of "retail institutionalization" is reshaping the investor structure and market volatility characteristics, driven by the rapid adoption of intelligent tools [1][4] Group 2: AI Advisory Growth - As of mid-2025, the net income from brokerage business fees reached 78.95 billion yuan, a year-on-year increase of 30.8%, while income from financial product sales by 42 listed brokerages totaled 5.568 billion yuan, up 32.09% [2] - The number of active users of brokerage apps reached 173 million by August 2025, reflecting a quarter-on-quarter growth of 4% and a year-on-year increase of 27.26% [2] - AI advisory is experiencing rapid growth, with global assets under AI advisory management increasing at a double-digit annual rate, expected to maintain high growth in the coming years [2][3] Group 3: Retail Institutionalization - The concept of "retail institutionalization" allows retail investors to utilize data analysis, model strategies, and automated trading capabilities previously exclusive to institutional investors, shifting decision-making from emotion-driven to data-driven [4][5] - A Deloitte survey indicates that by 2025, 46% of retail investors will prioritize "AI advisory + algorithmic trading" as their main investment method, projected to rise to 80% by 2027 [4][5] Group 4: Changes in Brokerage Business Models - Brokerages are adapting their business models, with some integrating ETF market-making, margin trading, and options into AI advisory value-added services, creating a "trading + holding" dual fee model [5] - The organizational structure of brokerages is evolving, with the establishment of "algorithm customer operation departments" and a shift in advisory roles from "stock recommendation" to "strategy explanation + emotional support" [5] Group 5: Historical Context and Future Outlook - The initial smart decision-making tools for brokerages began in 2018, focusing on stock diagnostics and intelligent stock selection, but faced high learning costs and manual decision-making [6] - Over 20 brokerages now offer T0 algorithm services for retail clients, narrowing the gap with institutional strategies, although these services currently have high thresholds and limited capacity [6] - The integration of AI advisory, smart strategy tools, and quantitative interfaces is transforming retail investors into "micro-institutions," leading to an earlier transition to an "institution-led" market structure [6] Group 6: AI and Wealth Management Transformation - AI technology is driving a shift from "human sea tactics" to "algorithmic dividends" in wealth management, with firms that can leverage models effectively gaining significant advantages [7][8] - Brokerages are increasingly focusing on building AI capabilities to enhance customer service, investment research, compliance, and internal management [7][8]

Core Viewpoint - Velos Markets is emerging as a focal point for professional investors, novice users, and economic analysts due to its unique strategic positioning and technological innovations in the trading platform space [1]. Market Analysis - Velos Markets offers a diverse trading ecosystem, covering five core areas: forex, contracts for difference (CFD), cryptocurrencies, stock indices, and commodities, with over 200 trading instruments available [3]. - The platform provides trading opportunities in emerging market currencies, particularly in Southeast Asia and Latin America, differentiating itself from mainstream platforms [3]. Investment Tools - The platform features advanced chart analysis software that supports candlestick pattern recognition, multi-timeframe overlays, and customizable technical indicators, enhancing users' ability to capture market signals [4]. - Velos Markets boasts an order execution speed of less than 50 milliseconds for high liquidity pairs like EUR/USD, significantly benefiting short-term traders [4]. User Experience Design - The platform simplifies complex financial processes through a user-friendly interface, allowing first-time users to complete their first trade within three minutes [6]. - It offers seamless integration across multiple devices, enabling users to switch between in-depth analysis on desktop and real-time alerts on mobile [6]. - The system provides automated hedging suggestions when account volatility exceeds preset thresholds, enhancing risk management [6]. Industry Trends - The financial technology landscape is witnessing two major trends: the mainstreaming of cryptocurrencies and the institutionalization of retail investors [7]. - Velos Markets has implemented a "volatility protection" mechanism, which helped reduce client losses during the 2024 LUNA crash by 37% compared to industry averages [7]. - The platform's online financial courses are empowering ordinary investors to adopt institutional-level analytical frameworks, fostering a cycle of "retail thinking becoming institutionalized" [7]. Performance Insights - In a volatile market environment, professional investors are increasingly relying on Velos Markets' tools, such as cross-market arbitrage, which has yielded a 12% return in three weeks through strategic trades [8]. - The platform's research report library is regarded as a "predictive crystal ball," providing critical insights for asset rebalancing [8]. Conclusion - Velos Markets is redefining the concept of a trading platform by integrating data insights, educational empowerment, and strategic evolution, positioning itself as an essential tool for both long-term investors and day traders [9].