Analyze stock news sentiment from chat using SearXNG an

This automation enables investors and financial analysts to instantly receive market sentiment assessments for a company or stock based on the latest news. Simply send a company name or ticker in chat — the system performs a web search, analyzes sentiment via AI, and returns a structured summary.

## Who it´s for
- Investors tracking market sentiment on stocks
- Analysts needing quick assessment of news impact
- Traders using sentiment data for decision-making
- Financial consultants preparing client reports

## What the automation does
- Triggered by a chat message containing a company name or ticker
- Retrieves current date to filter news from the last week
- Performs web searches via SearXNG using both company name and ticker
- Passes results to a LangChain agent powered by Google Gemini for analysis
- Determines financial sentiment: positive, neutral, or negative
- Returns a clear, structured summary to the user

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on chat_message
- Integrations with SearXNG, Google Gemini (PaLM) API, and chat interface
- Basic text instructions for setup and adaptation

## Requirements for setup
- n8n instance with workflow editing access
- Google Gemini (PaLM) API access
- Configured SearXNG instance (public or local)
- Chat interface compatible with n8n integration

## Benefits and outcomes
- Saves time on manual news monitoring
- Fast, on-demand sentiment evaluation
- Reduces subjectivity through AI-driven analysis
- Supports data-driven investment decisions
- Easily integrated into analyst workflows

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.