LLMs

Using LLMs for investment analysis: Transforming market intelligence in 2025

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using LLMs for investment analysis

*This article explores how large language models are changing investment analysis by helping traders, portfolio managers and analysts identify complex market patterns, understand macro themes, and process vast amounts of unstructured data – all illustrated through practical examples from Permutable’s Trading Co-Pilot platform. The financial landscape is undergoing a profound transformation, driven by advancements in … Read more

Trading Co-Pilot update: Enhanced UI for trading on sentiment

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trading on sentiment

At Permutable, we’re pleased to announce a significant upgrade to our Trading Co-Pilot platform‘s UI, featuring a completely redesigned user interface that enhances the experience of trading on sentiment in today’s volatile markets. Our newly rolled our homepage dashboard will change the way traders interact with market sentiment data, offering streamlined access to key real-time … Read more

How AI agents are transforming real-time commodity price forecasting

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commodity price forecasting

In terms of commodity price forecasting, in the current challenge to world diplomatic order, the emergence of AI agents in commodity forecasting represents a fundamental shift in market analysis. More importantly, these autonomous systems are redefining how traders approach price prediction, as evidenced by our Trading Co-Pilot’s recent analysis of Brent Crude Oil movements. During … Read more

How to find a company’s supply chain in 2024: How Permutable AI uses Large Language Models to map out companies’ supply chains

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how to find a company's supply chain

In today’s interconnected world, understanding a company’s supply chain is crucial for anyone involved in business, from executives and investors to policy makers and even consumers. Supply chains are the lifeblood of global commerce, representing the journey products take from raw materials to the finished goods we buy. But how exactly can one map out … Read more