How to build an FX Arbitrage Research Agent

This agent automates the process of gathering, analyzing, and reporting on global currency and FX trends by combining web research, knowledge base data, and expert synthesis into a ready-to-send email.

Challenge

Financial professionals struggle to efficiently synthesize up-to-date, multi-source currency and FX research into actionable, timely reports.

Industry

Finance

Department

Research

Integrations

SharePoint

Web Search

This agent is designed for currency arbitrage researchers and financial analysts who need to stay ahead of global market trends. It begins with a scheduled trigger, then uses a web search action to gather the latest information on currency exchange and foreign exchange from trusted sources. Simultaneously, it leverages a large language model (LLM) to deeply research a curated list of URLs, extracting and synthesizing key insights and citations. The results from both the web search and the LLM’s URL research are then combined by a second LLM, which also incorporates knowledge base data. This LLM is specifically instructed to write a comprehensive, succinct email report, which is automatically sent to a designated recipient via Gmail. The final output is presented in a user-friendly format, ensuring that the recipient receives a timely, data-rich, and actionable market update.

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Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.