Technical Stock Analysis AI Assistant using Gemini - n8n Workflow

Stock market traders and financial analysts needing rapid, automated insights.
Automation specialists looking for advanced n8n workflow examples involving external data and LLMs.

• Users interested in building custom AI-powered financial tools using the n8n node LangChain integrations.

This sophisticated n8n workflow template is designed for users who require automated, context-aware technical analysis of financial instruments. Traditional analysis often requires manually checking charts, news, and technical indicators. This n8n automation streamlines that entire process.

It solves the problem of synthesizing disparate data points—visual charts (from TradingView) and real-time market news (via SerpAPI)—into a single, coherent output powered by the Google Gemini model. By using the AI Agent n8n node, the workflow intelligently decides which tool and data source to use, providing a high-quality, actionable response. This is a prime example of leveraging the advanced capabilities of the n8n platform to create highly specialized AI applications.

This powerful n8n workflow begins with the When chat message received n8n trigger, initiating the process upon receiving a user's stock query.

1. Trigger & Preparation: The input query first passes through the Edit Fields n8n node to ensure the data structure is optimal for subsequent steps.


2. Chart Retrieval: The TradingView Chart n8n node executes an HTTP request to fetch relevant chart data (technical indicators or visual data) corresponding to the stock mentioned in the chat prompt.


3. AI Orchestration: The core of this n8n workflow lies in the AI Agent n8n node. This agent is configured with:

1. Analysis and Output: The AI Agent receives the initial chat prompt, the chart data from TradingView, and access to the real-time SerpAPI tool. It synthesizes this information to perform the requested technical analysis, providing a comprehensive final answer back to the user via the chat interface initiated by the n8n trigger.

To use this n8n workflow, follow these steps:

1. Import the n8n template: Copy the provided JSON and import it directly into your n8n instance.


2. Configure Credentials:

1. Activate the n8n trigger: Activate the When chat message received n8n trigger to make the workflow listen for incoming chat requests. This n8n node will provide a webhook URL for integration with your chat platform (e.g., Slack, Telegram, custom interface).


2. Testing: Execute the workflow manually or send a test message to the configured n8n trigger endpoint.

When chat message received (n8n trigger): This is the starting point for the n8n workflow. It acts as a webhook, listening for incoming messages from a chat interface to initiate the stock analysis process.
Edit Fields (n8n node): A simple set node used to manipulate or refine the data received from the n8n trigger before it proceeds to the data fetching stage.
TradingView Chart (HTTP Request n8n node): Essential for fetching specific technical chart data or image output from the TradingView platform based on the user's query.
Google Gemini Chat Model (LangChain n8n node): Configures the underlying Large Language Model (LLM) used by the AI Agent for complex analysis and generating the final response.
Window Buffer Memory (LangChain n8n node): Provides short-term memory capabilities to the AI Agent, allowing the n8n workflow to maintain context in a running conversation.
SerpAPI (LangChain n8n node): Configured as a tool for the AI Agent, enabling real-time access to current market news, making the analysis current and relevant.

• AI Agent (LangChain n8n node): The core intelligence of this n8n workflow. It orchestrates the use of the Gemini model, memory, and external tools (SerpAPI and TradingView data) to execute the technical analysis request.