Tesla News and Sentiment Analysis Workflow

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This n8n workflow is designed to analyze real-time Tesla-related news from multiple trusted RSS feeds and generate market sentiment insights. Triggered externally by a parent workflow, it collects headlines from Google News, Yahoo Finance, Electrek, CleanTechnica, and TeslaNorth, providing comprehensive coverage of Tesla’s news landscape. The core component is an AI-powered sentiment analysis that classifies news as bullish, bearish, or neutral, and produces concise summaries to inform traders and investors. Practical applications include powering Tesla-specific trading strategies, monitoring public sentiment, and staying updated on technological and market developments.

The workflow incorporates several nodes: a trigger from an external workflow, multiple RSS feeds for diverse Tesla news sources, a memory buffer to preserve session context, a DeepSeek AI model for parsing and analyzing headlines, and a sentiment analysis agent that consolidates all insights. It is especially useful for traders integrating real-time news data into their decision-making processes, and for analysts tracking Tesla’s market narrative.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.memoryBufferWindow, executeWorkflowTrigger, rssFeedReadTool, stickyNote

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