Tesla News and Sentiment Analysis Tool (Powered by DeepSeek Chat)

**This AI-powered agent performs real-time sentiment analysis on Tesla (TSLA) news to support trading decisions**. It aggregates headlines from 5 trusted sources and uses **DeepSeek Chat** to classify sentiment and generate structured summaries. This tool is a critical sub-agent in the broader **Tesla Quant Trading AI Agent** system. **Not standalone** - this agent is designed to be executed by the [Tesla Quant Trading AI Agent](https://n8n.io/workflows/4092-tesla-quant-trading-ai-agent-using-telegram-gpt-41-main-interface/). Requires: **DeepSeek Chat API Key** --- ## Workflow Role This tool processes Tesla-related news and produces output like: ```json { "sentiment": "bullish", "summary": "Tesla stock rallied today after strong delivery numbers and Cybertruck updates. Analysts remain optimistic.", "topHeadlines": [ "Tesla beats Q2 delivery forecast - Yahoo Finance", "Cybertruck ramps up in Texas - Electrek", "Berlin Gigafactory expands battery production - CleanTechnica" ] } ``` Its output feeds directly into the master trading agent's final trade report. --- ## News Sources Used This agent collects real-time headlines from: * Google News (filtered by "Tesla" or "TSLA") * Yahoo Finance (TSLA-specific feed) * Electrek (Tesla archive) * CleanTechnica (Tesla sustainability news) * TeslaNorth (app/product release updates) These five tools are always queried together to ensure market-wide signal coverage. --- ## What the Agent Does 1. Pulls headlines from all 5 Tesla-specific RSS feeds 2. Uses **DeepSeek Chat** to: * Analyze narrative tone (bullish / bearish / neutral) * Identify macro/financial drivers * Generate a 2-3 sentence summary * Return top 3-5 headlines 3. Outputs structured JSON for downstream use --- ## Setup Instructions ### 1. Install & Name * Import this file and name it: `Tesla_News_and_Sentiment_Analyst_Tool` ### 2. Add DeepSeek API Credentials * Go to: **Credentials → Add New → DeepSeek API** * Save as: `DeepSeek account` ### 3. Internet Access Required * Ensure RSS feeds can fetch live headlines * Works best with a cloud-hosted n8n instance or tunnel-enabled local install ### 4. Must Be Triggered by Parent * Triggered via `Execute Workflow` by the Tesla Quant Trading AI Agent * Requires these inputs: * `message`: optional query context * `sessionId`: passed to maintain short-term memory across executions --- ## Agent Architecture | Node Name | Function | | ----------------------------- | ------------------------------------------------- | | `DeepSeek Chat Model` | Performs AI-based sentiment analysis | | `Tesla News and Sentiment Analyst` | Combines results, formats output in strict JSON | | `Simple Memory` | Stores session-level context (short-term memory) | | 5x `RSS` nodes | Aggregate Tesla news from trusted media outlets | --- ## Sticky Notes Included **Trigger from Parent Workflow** - Executed only by main TSLA agent **News Feeds Overview** - Lists and explains each of the 5 feeds **DeepSeek Chat Notes** - Describes LLM behavior and parsing role **Short-term Memory** - Buffers sentiment context during user session **Sentiment Analyst Agent** - Summarizes key responsibilities --- ## Licensing & Attribution © 2025 **Treasurium Capital Limited Company** This architecture, workflow structure, and prompt design are licensed for educational and operational use only. Commercial resale or rebranding prohibited without authorization. **Creator:** [Don Jayamaha](https://linkedin.com/in/donjayamahajr) **Templates:** [https://n8n.io/creators/don-the-gem-dealer/](https://n8n.io/creators/don-the-gem-dealer/) --- **Power your TSLA trading with AI-driven sentiment-built with DeepSeek Chat and 5 trusted news sources.** **This tool is required by the Tesla Quant Trading AI Agent.**

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Tesla News and Sentiment Analysis Tool (Powered by DeepSeek Chat)
$9.99
Last updated August 29, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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