This n8n workflow automates comprehensive stock analysis by integrating data collection, AI-based insights, and report generation for investment decision-making. It begins with triggers for company or stock inquiries, followed by a series of HTTP requests to fetch company facts, earnings releases, ticker prices, financial metrics, insider trades, and news. These data points are processed, merged, and structured using code nodes and AI language models, including OpenAI’s GPT for natural language processing and analysis.

The workflow identifies stock tickers through specialized extraction nodes and checks if they exist in a database. It then performs targeted AI-driven searches for influential investors like Ben Graham, Bill Ackman, Warren Buffett, and others, to gather their insights and opinions. Advanced nodes analyze sentiment, valuation, and technical aspects, providing a multi-faceted assessment of each stock.

Structured output parsers refine AI responses into usable data, which is subsequently combined and analyzed further. All results are consolidated into comprehensive reports, which are automatically emailed. This automation is ideal for hedge fund managers, stock analysts, or investors seeking real-time, AI-driven insights into stock performance and valuation, aiding informed investment decisions.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolCalculator, code, gmail, httpRequest, if, merge, splitOut, stickyNote