This n8n workflow automates the process of fetching upcoming earnings reports, organizing the data, and sending timely updates via Telegram. Starting with a scheduled trigger every three days, the workflow dynamically sets relevant dates, retrieves earnings data through an HTTP request, and organizes the information with custom code. An AI agent powered by LangChain analyzes and formats the data, which is then sent as a message on Telegram. Practical for investors or financial analysts, this automation provides real-time earnings insights without manual effort.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, httpRequest, scheduleTrigger, set, stickyNote, telegram