Stock Sentiment Analysis

## **Set up steps**

1.  **Select the Language Model (LLM):** This workflow is pre-configured with Google Gemini. You can select a different model for the agents as needed.
2.  **Configure LLM Credentials:** Ensure that valid credentials for your chosen LLM are correctly set up within your n8n instance.
3.  **Set Up the SearXNG Connection:** Configure the node to connect to your self-hosted SearXNG instance. This enables the agent's web search capabilities.
4.  **Define the Research Agent's Task:** Customize the system prompt for the "Research Agent" to define its role, instructions, and how it should conduct its research.
5.  **Define the Sentiment Analysis Agent's Task:** Adjust the system prompt for the "Sentiment Analysis Agent" to specify how it should analyze the information provided by the Research Agent.
6.  **Test the Workflow:** Use the built-in chat interface in the n8n canvas to send a message and verify that the agents are functioning correctly.