📈 Tesla news and sentiment analyst tool (Powered by DeepSeek Chat)

⚡ 2,862 views · 📈 Crypto Trading & Stock Market

Description

📰 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. ⚙️ Requires: DeepSeek Chat API Key

🔌 Workflow Role

This tool processes Tesla-related news and produces output like:

{
  "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

Pulls headlines from all 5 Tesla-specific RSS feeds
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
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 🔗 Templates: 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.

🔗 Nodes Used

Execute Workflow Trigger, AI Agent, Simple Memory, DeepSeek Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup