BNP Paribas, QuantumStreet AI launch AI investment index in Brazil

BNP Paribas, the leading global bank in Europe, and QuantumStreet AI, a global leader in AI-powered financial solutions, announced the launch of the BNP Paribas Cross Asset Trend and AI Index in Brazil, planned to will be spread around the world

This new index combines traditional attribute-based investing with AI-driven trend-following signals developed by QuantumStreet AI. These indicators aim to identify key economic indicators that may be overlooked, allowing them to be better allocated to global asset classes. Strategy Combining historical data with trend indicators through AI analytics, QuantumStreet uses IBM watsonx as the foundation of AI’s generative AI platform

Combining BNP Paribas’ proprietary trend analysis with its award-winning index capabilities and QuantumStreet AI’s advanced machine learning models, the index provides a comprehensive view of equity, fixed income, and commodity market trends. The Index will form the basis of the global inventory available to BNP Paribas clients, and will provide a unique perspective on market dynamics.

XP, a leading technology producer in Brazil, currently offers the BNP Paribas Cross Asset Trend and AI Index. These partnerships provide investors with access to a diverse range of leading-edge investments in global innovation.

Adil El Batzi, Chairman, Global Equities, Americas, BNP Paribas, said: “BNP Paribas and QuantumStreet AI collaboration underlines our commitment to innovate and improve financial services. This partnership brings together two industry leaders to provide clients with sophisticated quantitative investment solutions, using data-driven insights to optimize portfolio performance and transform the economy the situation.”

Chris Natividad and Subhra Tripathy, heads of AI at QuantumStreet, expressed their excitement: “We are delighted to be working with BNP Paribas on this new index. Identifying and leveraging consistent sources of value in system design is essential, and AI-driven approaches provide a solid foundation. We look forward to strengthening our relationship and serving the bank's global client base."

Raj Datta, vice president of ISV and AI Partnerships at IBM, added, "Collaboration with QuantumStreet AI will provide organizations with AI-powered financial solutions through watsonx. Such partnerships are significant." accelerating innovation and building reliable AI."

Victor Vallim, head of structured note distribution and partner at XP, said, “Our Cross Asset Trend AI Index Collaboration with Quantum Street EA of BNP Paribas Club at BNP Paribas brings new features and power to a product Index volatility a lower creates optimal conditions for earning XP through Structured Notes, which offer higher minimum returns or improved returns over predetermined periods of time These types of features are useful for different consumers in all ecosystems.”

About BNP Paribas

BNP Paribas is the leading bank in the European Union, with approximately 183,000 employees in 63 countries. The Group has leading positions in commercial and private banking, financial protection services, and corporate and institutional banking. BNP Paribas supports clients in finance, investment, treasury and protection insurance, with a presence in Europe, the US. and a strong Asia-Pacific

About QuantumStreet AI

IBM Business Partner is QuantumStreet AI, a global provider of AI-powered financial solutions. Combining the latest AI techniques with financial intelligence, it creates and implements a unique investment strategy. Its proprietary platform models more than 60,000 securities worldwide, and processes large amounts of data in a dozen languages. QuantumStreet partners with leading organizations to develop and distribute financial products around the world.

The BNP Paribas Cross Asset Trend Index, a regulatory index, seeks to expose global equities, premiums, loans, foreign currencies and long-term and short-term fixed incomes eyes to diversify, leverage trend-tracking strategies used by hedge funds and manage commodity price movements and risks which will be installed