Analyze Tesla News Sentiment from RSS with DeepSeek

## 📘 Tesla News and Sentiment Analyst Tool ### 🔧 Purpose: This workflow powers the sentiment analysis engine for TSLA trading. It continuously scrapes Tesla-related headlines from five trusted RSS sources and uses a DeepSeek LLM agent to classify overall market sentiment and extract a structured news summary. It plays a crucial role in informing both spot and leveraged trading strategies within the larger Tesla Quant Trading AI system. --- ### 📂 Required Dependencies: To operate properly, ensure the following workflows are installed: * ✅ Tesla Quant Trading AI Agent (calls this tool via webhook) * ✅ n8n credentials: DeepSeek API key * ✅ Internet access for live RSS feed scraping --- ### 🛠️ Step-by-Step Installation: 1. Import Workflow * Load this JSON into your n8n workspace. * Name it: Tesla_News_and_Sentiment_Analyst_Tool 2. Set Up DeepSeek Credentials * Go to Credentials → Add New * Choose: DeepSeek API * Save under name: DeepSeek account 3. Review Node Functions | Node | Function | | ------------------------------------ | ------------------------------------------------------- | | When Executed by Another Workflow | Triggered externally via Tesla Quant Trading AI Agent | | RSS - Google News Tesla-specific | Scrapes Tesla news across top global financial outlets | | RSS - Yahoo Finance TSLA | Captures TSLA stock-specific financial articles | | RSS - Electrek Tesla | Tracks technical updates, factory news, vehicle data | | RSS - CleanTechnica Tesla Archives | Offers clean energy sentiment and battery/solar news | | RSS - TeslaNorth | Gets consumer-level updates like pricing, app changes | | Simple Memory | Retains context for the LLM during each run | | DeepSeek Chat Model | LLM responsible for analyzing raw headlines | | Tesla News and Sentiment Analyst | Aggregates data, summarizes, and formats final output | 4. Trigger From Main Agent * The Tesla Quant Trading AI Agent uses this via Execute Workflow node. * It sends in message and sessionId inputs, required for context. --- ### 🧠 AI Logic * The DeepSeek Chat Model reads from all 5 news feeds. * The Tesla News and Sentiment Analyst agent performs the following: * Extracts top 3–5 headlines relevant to trading signals * Classifies sentiment as: bullish, bearish, or neutral * Produces a 2–3 sentence summary of the current Tesla narrative ✅ Output Format (example): json {