AI Financial Chart Analyzer Agent

Unlock AI-Powered Financial Chart Analysis with this AI Agent

This n8n workflow acts as an AI Agent, specifically designed as a backend for applications like Chrome extensions or other tools. It empowers users to get instant, simplified technical analysis of stock or cryptocurrency charts. Simply send an image of a chart (as base64 data) to the webhook endpoint, and the agent, powered by OpenAI's GPT-4o-mini, will analyze it and return insights in easy-to-understand language, specifically tailored for novice traders. Its core ability is financial chart interpretation and explanation.

Key Features & Benefits

• Webhook Triggered: Easily integrate with any system capable of sending a POST request with image data (e.g., browser extension, custom script, mobile app).
• AI-Driven Image Analysis: Leverages OpenAI's GPT-4o-mini vision capabilities to understand and interpret financial charts.
• Simplified Explanations: The AI is prompted to explain market trends and technical indicators in 'infant language,' making complex financial data accessible to beginners.
• Automated Insights: Get quick technical analysis without manual effort, helping to identify potential market movements from chart visuals.
• Built-in Disclaimer: The AI prompt includes instructions to warn users that the analysis is not binding financial advice.
• Customizable AI Prompt: Tailor the AI's persona, analysis depth, and output style by modifying the prompt in the OpenAI node.

• An n8n instance (Cloud or self-hosted).
• OpenAI API Key with access to GPT-4o-mini or a similar vision-capable model.
• A client application (e.g., Chrome extension, script, Postman) capable of sending a POST request with a base64 encoded image of a financial chart to the n8n webhook URL.

1. Download the n8n workflow JSON file.
2. Import the workflow into your n8n instance.
3. In the 'OpenAI' node, select or create your OpenAI credentials. Ensure the Model ID is set to a vision-capable model like gpt-4o-mini (which is the default in this template).
4. Review the prompt in the 'OpenAI' node's Text / Prompt field. Customize it if you want to change the AI's analytical style, output language, or focus.
5. Take note of the 'Webhook' node's path (e.g., e9a97dd5-f1e7-4d5b-a6f1-be5f0c9eb96c). Your API endpoint will be [Your_n8n_Instance_URL]/webhook/[path_from_webhook_node].
6. Your client application needs to send a POST request to this endpoint. The body of this POST request should contain the base64 encoded image string. The OpenAI node's 'Image' field (under 'Image for Analysis') needs to be mapped to this incoming base64 data. For example:
   • If your webhook receives the raw base64 string directly in the POST body, you might set the 'Image' field in the OpenAI node to {{ $json.body }}.
   • If your webhook receives JSON like {"imageBase64": "your_base64_string_here"} in the POST body, set the 'Image' field to {{ $json.body.imageBase64 }}.
   • Inspect the data structure passed from the 'Webhook' node to the 'OpenAI' node during a test run to confirm the correct expression.
7. The 'Respond to Webhook' node is configured to send back the AI's analysis text using {{ $json.content }}, which captures the output from the OpenAI node.
8. Activate the workflow.
9. Test by sending a POST request (e.g., via curl, Postman, or your application) to the webhook URL with the appropriate base64 image data.