AI-powered RAG workflow for stock earnings report analysis

About This Workflow

What This Workflow Does

This n8n workflow utilizes OpenAI GPT-4o-mini to generate financial analysis reports on a company's quarterly earnings, providing users with AI-powered insights into their stock performance. The workflow automates the process of collecting and analyzing financial data, enabling users to make informed decisions. It also provides a structured RAG (Red-Amber-Green) report that highlights key performance indicators.

Who Should Use This

This workflow is ideal for financial analysts, market researchers, and business owners who want to leverage AI-powered insights for informed decision-making. It is particularly useful for those involved in crypto trading, portfolio management, or investment analysis.

Key Features

• Automated Data Collection: The workflow aggregates financial data from various sources, reducing manual effort and increasing efficiency.
• AI-powered Analysis: OpenAI GPT-4o-mini generates in-depth analysis reports, providing actionable insights into a company's quarterly earnings.
• Structured RAG Reporting: The workflow provides a clear and concise RAG report highlighting key performance indicators, making it easier to understand and act on the analysis.
• Integration with Financial Data Sources: The workflow integrates with various financial data sources, allowing users to access a wide range of financial information.

How to Get Started

To use this workflow, import it into your n8n instance and customize the workflow settings to connect to your desired financial data sources. The workflow comes with pre-configured nodes and settings, making it easy to get started with AI-powered financial analysis.