Tesla News & Sentiment Analyst Tool (DeepSeek AI)
AI-powered workflow aggregates Tesla news from 5 sources, performs sentiment analysis via DeepSeek Chat, and outputs structured summaries for trading decisions.
This n8n workflow is a specialized AI agent designed for real-time sentiment analysis on Tesla (TSLA) news, serving as a sub-component in the Tesla Quant Trading AI Agent system. It fetches the latest headlines from five trusted RSS feeds: Google News (Tesla/TSLA filtered), Yahoo Finance (TSLA feed), Electrek (Tesla archive), CleanTechnica (sustainability news), and TeslaNorth (product updates). These sources provide comprehensive market coverage, ensuring balanced signals from financial, tech, and industry perspectives.
The core process involves aggregating headlines, then leveraging the DeepSeek Chat API to classify overall sentiment (bullish, bearish, neutral), identify key drivers like deliveries or factory expansions, and generate concise 2-3 sentence summaries. The output is a structured JSON object including sentiment score, summary, and top headlines, which seamlessly feeds into parent trading agents for decision-making.
Benefits include time-saving automation of manual news monitoring, enhanced trading accuracy through AI-driven insights, and scalability for high-frequency execution. Use cases span quantitative trading bots, portfolio dashboards, investor alerts via Telegram/Slack, and broader financial AI pipelines. Requires only a DeepSeek Chat API key; not standalone but highly valuable in multi-agent systems.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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