Goldman Sachs’ Visualisation Tool To Include Equities and Crypto

  • Goldman Sachs expands Visual StructuringTM to new markets.
  • Equities, crypto, and precious metals will now be available on the platform.
  • Natural language inputs and group-sharing capabilities will be included.

Goldman Sachs, a leading global investment banking, securities, and investment management firm, announced today the expansion of its innovative Visual StructuringTM platform to new markets, including equities, cryptocurrency, and precious metals.

According to its press release, the platform now offers web and Android versions, joining the original iOS mobile application for FX launched in September 2022.

Available via Goldman Sachs Marquee for institutional customers, Visual StructuringTM is a patent-pending technology for options indicative price discovery and trading idea development.

In the press release, Goldman Sachs emphasizes that the expansion of Visual StructuringTM enhances price discovery for a wider range of asset classes. Additionally, it gives clients the flexibility to integrate the tool into their workflow in the way that suits them best. This advancement in the platform’s capabilities empowers traders to make informed decisions and take advantage of new opportunities across various markets.

Chris Churchman, head of Goldman Sachs Marquee, adds that Visual StructuringTM has now become a true multi-platform collaboration tool with its availability on the Web, Android, and iOS. According to him, the enhanced sharing functionality of Visual StructuringTM across mobile and web platforms has revolutionized the workflows of Goldman Sachs’ clients.

Further, the increased efficiency in trade execution saves time and allows for better decision-making capabilities. With these advancements, traders can collaborate more effectively and seamlessly capitalize on market opportunities.

Moreover, the platform has added several new features alongside the expansion of Visual StructuringTM into new asset classes. These include using machine learning technology to enable faster pricing of certain exotic trades, natural language inputs to facilitate more efficient communication, and group sharing capabilities that enhance collaboration among traders.


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