In November 2026, the Pinnacle AI Financial Research Institute officially launched the global testing program for the Pinnacle AI Quantitative Investment System 3.0, opening applications to participants with diverse market experience backgrounds.

Market participants with investment experience, as well as beginners interested in understanding the mechanisms of AI quantitative trading, may submit testing applications through the Institute’s official channels.

This program marks a significant milestone in the evolution of the Pinnacle AI Quantitative Investment System, transitioning from internal R&D and historical data validation to a broader testing environment.

From Technical R&D to Real-World Validation.

Since the project’s inception in 2024, the Institute has continuously advanced integrated research across artificial intelligence, big data, machine learning, deep learning, natural language processing, reinforcement learning, multi-factor models, high-performance computing, and automated trading technologies.

Following multiple version iterations, the Pinnacle AI Quantitative Investment System 3.0 has established a technical architecture covering market perception, intelligent analysis, strategic decision-making, risk control, trade execution, and feedback optimization. It supports collaborative analysis across multiple markets, asset classes, and strategies.

Depending on data sources, trading interfaces, and applicable conditions, the system can conduct strategy research and testing for stocks, ETFs, indices, forex, commodities, digital assets, and other tradable financial products.

Testing Focus: Stability, Deviation, and Risk Control.

The primary objective of this testing phase is not to verify short-term returns, but to gather data closer to actual operational environments and evaluate the system’s performance under varying market conditions.

The Institute will focus on system stability, deviations between actual trading and historical backtesting, strategy execution efficiency, user experience, and risk control mechanisms during periods of extreme market volatility or anomalous conditions.

For experienced participants, the test offers an opportunity to observe data-driven strategies, multi-strategy collaboration, and dynamic risk management mechanisms. For beginners, the Institute will provide system documentation and risk disclosures to help them understand the fundamental logic and potential limitations of AI quantitative trading.

Participation Does Not Guarantee Returns.

The Institute emphasizes that participation in the test does not constitute a guarantee of any investment returns.

AI quantitative trading remains inherently subject to factors such as market volatility, model errors, liquidity fluctuations, transaction costs, systemic risks, and unforeseen events. Historical data, backtesting results, and performance during the testing phase cannot guarantee future outcomes; participants may face investment losses and capital drawdowns. Therefore, this round of the program will prioritize applicants who understand the limitations, risk characteristics, and testing nature of AI trading, and who are willing to provide ongoing, constructive feedback. Eligible participants will receive further testing instructions, operational guidelines, and relevant risk disclosures.

Through this global testing program, the Pinnacle AI Financial Research Institute aims to gather real-world feedback to inform the subsequent technical optimization, risk management, and product iteration of the Pinnacle AI quantitative investment system.