How I Built A Technical Analyst AI Agent in n8n With No Code

Introduction

In this tutorial, you will learn how to build a Technical Analyst AI Agent using n8n, a no-code automation tool. This guide is suitable for both beginners and experienced users, allowing you to automate technical analysis tasks effortlessly. By the end of this tutorial, you'll have a functional AI agent that can streamline your analysis processes.

Step 1: Download the Workflow

To get started, you’ll need to download the pre-made workflow for your project.

1. Visit the Skool community page.
2. Join the free community to gain access to the workflow files.
3. Navigate to the resources section to find and download the Technical Analyst AI Agent workflow.

Step 2: Set Up the Agent Workflow

Once you have the workflow downloaded, it's time to set it up in n8n.

1. Open n8n and create a new workflow.
2. Import the downloaded workflow file.
3. Familiarize yourself with the nodes included in the workflow:
   • Trigger node: Initiates the agent.
   • HTTP Request node: Connects to charting APIs.
   • Function nodes: Process the data received.

Step 3: Create the Get Chart Workflow

This workflow is essential for fetching the necessary chart data.

1. Add a new HTTP Request node to your workflow.
2. Configure the node to connect to a charting service:
   • Set the method to GET.
   • Provide the API endpoint for the chart data.
   • Include any required parameters, such as stock symbols or date ranges.

Step 4: Set Up POST Request to Chart-Img

You'll need to format the chart data for analysis.

1. Add a new HTTP Request node for the Chart-Img service.
2. Configure it as follows:
   • Set the method to POST.
   • Input the URL for the Chart-Img service.
   • In the body, include the necessary data to generate the chart image.

Step 5: Integrate OpenAI Analyze Image Node

Now, you will analyze the chart image using OpenAI.

1. Add the OpenAI Analyze Image node to your workflow.
2. Set the input to the output of the Chart-Img POST request.
3. Configure the node to extract relevant information from the image.

Step 6: Responding to the Agent

Ensure that your agent can respond to queries effectively.

1. Create a response node that formats the output from the OpenAI analysis.
2. Set up the response to send back to the user with the analysis results.

Step 7: Reviewing Agent Logs

To troubleshoot and improve your workflow, regularly check the logs.

1. Access the n8n dashboard.
2. Navigate to the logs section to review the execution history of your agent.
3. Look for any errors or bottlenecks and adjust your workflow accordingly.

Conclusion

You have successfully built a Technical Analyst AI Agent using n8n without writing any code. With this agent, you can automate your technical analysis tasks and save valuable time. As a next step, consider exploring further automation possibilities or joining the paid Skool community for advanced training. Happy automating!