Core Viewpoint - The article highlights the significant upgrade of the Jiufang Zhituo stock learning machine, which aims to meet the growing demand for systematic learning tools and precise decision-making support in the capital market, focusing on "ecological, professional, and intelligent" development [1] Group 1: Creator Ecosystem - The core breakthrough of the stock learning machine's iteration is the launch of the "Creator Ecosystem," marking a transition from a tool provider to an ecosystem builder [3] - The "Bull Page" serves as a "showcase" for professional value, allowing investors to efficiently discover mentors that align with their investment philosophies, addressing the industry pain point of "choosing the right person" [3] - The "Follow Page" acts as an "aggregator" for personalized information, consolidating updates and strategies from trusted mentors to enhance information acquisition efficiency [5] Group 2: Market Applications - The stock learning machine's market module has achieved three key advancements, including the launch of an ETF section to help investors quickly identify industry/theme ETF trends [7] - The ETF F10 summary page provides in-depth analysis of each ETF, covering essential information, financial status, and holding structure, allowing investors to understand the underlying risks and returns [8] - The expansion of K-line indicators enhances multi-dimensional analysis capabilities, catering to various investor styles and providing robust data support for technical decision-making [9] Group 3: Indicator Expansion - The upgrade includes the expansion of the "Indicator Square," introducing unique indicators like "Four-Dimensional Dragon Capture" and "Five Blessings Arrive," aimed at identifying potential stock opportunities and key trend reversal points [10] - The "Main Force Drive" indicator helps investors recognize critical stages of market fluctuations, enhancing their ability to seize wave opportunities [10] - The new "Indicator Square" integrates multiple analytical perspectives, significantly improving strategy adaptability and decision-making success rates in complex market conditions [10] Group 4: Live Streaming Applications - The stock learning machine's live streaming application has been revamped to enhance user experience, featuring structured content organization and easy access to live broadcasts and past sessions [12] - The upgrade optimizes information hierarchy and classification logic, allowing users to quickly access desired content, thereby reducing information search costs and improving learning efficiency [12] Group 5: Future Outlook - The company aims to establish a comprehensive service platform that combines "professional content ecosystem + intelligent decision-making tools + immersive learning experience," driving investor knowledge enhancement and wealth growth [13] - The focus on user value, professional capability, and open ecological cooperation is essential for gaining long-term trust in the rapidly changing capital market [13]