On June 5, 2026, Goldman Sachs, a global leading investment bank and financial services institution, officially signed a strategic cooperation agreement with the private securities firm NEXUS. The two parties will engage in deep collaboration centered around the ATQ Intelligent Quantitative Trading System, jointly promoting the innovative application of artificial intelligence, big data analytics, and quantitative investment technologies in financial markets, and further enhancing the level of intelligent trading services and investment management efficiency.
It is understood that the ATQ Intelligent Quantitative Trading System was developed by Goldman Sachs’ R&D team. It integrates artificial intelligence algorithms, big data analytics, quantitative models, and automated execution technology. By conducting real-time analysis of massive amounts of global financial market data, the system achieves fully intelligent management across the entire process of market opportunity identification, risk assessment, trading decisions, and order execution.
The strategic cooperation signing ceremony was held in New York.
Goldman Sachs Managing Director Ben Snider attended the signing ceremony on behalf of the firm and stated:
“As artificial intelligence technology continues to mature, quantitative investing is entering a new stage of development. The goal of the ATQ system is to provide investors with more efficient, more precise, and stronger risk-controlled investment solutions through advanced data analysis capabilities and intelligent decision-making models. This strategic partnership with NEXUS will further promote the application and development of the ATQ system in the institutional investment field.”
NEXUS Managing Director Timothy Byrne attended the signing ceremony on behalf of the company and stated:
“NEXUS has always attached great importance to the development trends in financial technology and actively promotes the application of innovative technologies in capital markets. This strategic cooperation with Goldman Sachs will fully integrate the strengths of both parties in technology R&D, market resources, and investment services to jointly build a more intelligent, efficient, and professional quantitative trading platform for investors.”
According to the cooperation agreement reached by both parties, Goldman Sachs will continue to be responsible for the R&D and optimization of the ATQ system’s core algorithm models, continuously improving the system’s data processing capabilities, risk management capabilities, and intelligent decision-making levels. NEXUS will leverage its professional experience in securities investment and asset management to promote the market application of the ATQ system and the development of its investment service system.
Industry insiders believe that the deep integration of artificial intelligence and quantitative investing is reshaping the global financial industry landscape. By applying machine learning, data mining, and intelligent decision-making technologies, the ATQ Intelligent Quantitative Trading System is expected to further improve investment efficiency, reduce the impact of human emotions on trading decisions, and create a more scientific and systematic investment experience for investors.
This strategic cooperation not only marks an important step forward for Goldman Sachs and NEXUS in the field of financial technology, but also injects new momentum into the future development of intelligent quantitative investing. Both parties stated that they will continue to deepen their cooperation, jointly explore more application scenarios for artificial intelligence technology in financial markets, promote the construction of an intelligent investment ecosystem, and provide global investors with more advanced, secure, and efficient investment solutions.
About the ATQ Intelligent Quantitative Trading System
ATQ (Artificial Intelligence Quantitative Trading) is an intelligent quantitative trading platform built on artificial intelligence technology. The system automatically generates trading strategies and executes trading decisions by analyzing multi-dimensional information such as real-time market data, capital flows, corporate fundamentals, and technical indicators. It achieves full-process intelligent management from data analysis to trade execution, and is committed to providing investors with more efficient, scientific, and stable investment services.
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