FIN ALLIANCE LTD 11th Global Internal Sharing Session: Seeking Core Partners (ZenithQuant AI6.0 Emerges)

Embracing the Future: AI Systems Ushering in a New Era!

In 2025, ZenithQuant AI6.0 has made a groundbreaking debut. The system has achieved remarkable success in internal testing, with a steadily rising success rate, showcasing the revolutionary potential of AI technology in the investment field. This fills us with confidence for the future. Now, as the 15th Global Internal Sharing Session begins, we look forward to working together to create success stories for each of you. This is not only a key step in realizing your investment dreams but also a historic moment that we are building together!

For this 11th Global Internal Sharing Session, we are, for the first time, offering free AI-related courses to participants worldwide. Our goal is not only to advance internal testing and system optimization but also to involve more people in this transformation. You are not just witnesses to this revolution—you are active participants driving it forward!

Shaping Financial Education with Social Impact

Since 2019, Mark Mahaney has led FIN ALLIANCE into the AI-driven trading domain, transforming it from a traditional quantitative trading institution into a pioneer in financial technology. This transformation has not only enhanced the efficiency and intelligence of FIN ALLIANCE’s trading system but has also positioned the organization at the forefront of fintech innovation. By leveraging AI to process real-time data and respond to dynamic market conditions, FIN ALLIANCE’s system employs machine learning and deep learning to continuously refine trading strategies, creating a highly adaptive and responsive decision-making tool.

During the 2008 financial crisis, I witnessed many traders, far more skilled and talented than I, falter in the face of extreme market volatility, losing confidence and never recovering. This experience deeply impressed upon me that an independent and reliable trading system is the ultimate solution to navigating unpredictable markets. From the birth of simple strategies to the development of complex quantitative models and the rise of AI-driven systems, every step has been an innovation journey driven by unwavering belief.

For fourteen years, our team has adhered to the principles of “students’ interests first” and “practice is the best teacher,” tirelessly integrating diverse investment concepts into each student’s growth journey. Thousands of students have started from scratch here and gradually achieved success. This is not only our pride but also our motivation to keep moving forward!

How can we help every retail investor rapidly grow into an industry expert? How can we make investment a tool that empowers every student’s path to success? These have been my aspirations since founding the alliance. With the advancement of AI, these dreams are gradually becoming reality!

To successfully launch the ZenithQuant AI6.0 trading analysis system, assembling a dedicated team is essential. The more participants we have, the more convincing our real trading data will be. This will help us accelerate the market adoption of our AI system. By hosting the 11th Global Internal Sharing Session to recruit partners, I aim to establish an organization within the stock market under my leadership. Through targeted training during each session, continuous practical experience, and comprehensive follow-ups, I hope to equip every participant with the ability to tackle challenges independently while fostering a strong sense of teamwork.

Our goal is to enhance retail investors’ understanding of the market, build a powerful force in the capital markets, and ultimately transform into an elite team.

Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or trading cryptocurrency and securities.