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Nate Herk | AI Automation
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Last update : 18/01/2025

Building a Technical Analyst AI Agent in n8n Without Code 🤖

Table of Contents

Creating a Technical Analyst AI Agent can seem daunting, but it doesn’t have to be! This cheat sheet will guide you through building a fully-functional AI agent using n8n, a no-code automation tool. Whether you’re new to the world of AI or a technical pro, this will simplify the process and make it accessible.

Key Idea 1: Setting Up Your AI Agent 🚀

To kick things off, you need a basic understanding of how your chatbot will interact with the world. The agent receives commands through Telegram and operates using a tool that generates stock charts and conducts technical analysis.

Real-life Example:

Imagine you want to analyze Apple stocks. You send a message to your Telegram bot like, “Analyze Apple.” The AI gets the stock ticker and uses the “get chart” function to pull up important data.

Practical Tip:

Make sure your Telegram chat ID is properly configured in n8n. This ID tells your bot exactly where to send responses.

Fun Fact: Telegram bots can handle messages 24/7 without you being present! 🤯

Key Idea 2: The Get Chart Workflow 📊

The heart of the AI agent is the ‘get chart’ workflow. This tool receives the stock ticker and talks to an external API to fetch charts and analysis data. Here’s how it works:

  1. Send Post Request: The first HTTP request to the Chart Image API sends over the stock ticker.
  2. Receive JSON Response: The response has a URL to the generated chart.
  3. Fetch the Image: Using the URL, the next step involves retrieving this image for analysis.

Real-life Example:

If you send “Apple” as the stock ticker, the AI agent sends a request, retrieves a chart for Apple, and stores the URL that leads to this chart.

Practical Tip:

Pin your test data! If you want to test your workflow, you don’t need to send requests repeatedly. Simply hard-code a stock ticker like “Apple” temporarily to expedite testing.

Quote: “Automation is not just for tech-savvy people; anyone can do it!” 💡

Key Idea 3: Leveraging OpenAI for Analysis 📈

After fetching the chart, the next step is to analyze it using OpenAI models. The images retrieved are evaluated for patterns, leading to a detailed stock analysis.

Real-life Example:

After getting the Apple chart, it’s analyzed, breaking down candlestick patterns, MACD values, and support/resistance levels. The output informs you whether the stock suggests a bullish or bearish trend.

Practical Tip:

Use OpenAI’s GPT models to generate more sophisticated analyses by crafting a thoughtful prompt that instructs the AIs on what to focus on.

Did You Know? AI can process complex datasets faster than any human could! ⚡

Key Idea 4: Communicating Back to the User 📡

Once the analysis is complete, your Telegram bot needs to communicate results back to you. This involves extracting the relevant info from the output and formatting it into a user-friendly response.

Real-life Example:

After analyzing Apple, your bot sends a message like: “Apple is currently in a short-term bearish trend,” complete with the supporting chart.

Practical Tip:

Use well-structured response formats, making sure to highlight key points in bold to make the information easily digestible.

Surprising Fact: Simple text formatting can significantly improve the clarity of complex data! ✨

Key Idea 5: Community and Resources 🛠️

Building your AI agent doesn’t have to be a solitary journey. Join learning communities like Skool to share your experiences and access valuable workflows.

Resources:

  • Free Skool Community: Join here! – Great resources to get you started with n8n.
  • Paid Skool Community: Go deeper! – For advanced tips and tricks.
  • Consultancy Services: Book A Call to implement AI agents for your business.

Practical Tip:

Participate in live calls within learning communities to get real-time support and insights!

Motivational Quote: “Together, we can achieve more!” 🌍

The Bigger Picture 🌟

This project showcases the intersection of simple automation skills with powerful AI capabilities. By creating your Technical Analyst AI Agent, you’re not only saving time but also gaining a deeper understanding of both financial markets and cutting-edge technology.

Imagine having insights into the stock market delivered to your phone in real-time—that’s not just convenience; it’s empowerment.

Final Takeaway:

Embrace the future! Learning to automate tasks using tools like n8n can drastically change how you operate in both professional and personal contexts. Tap into the potential of AI and no-code automation to revolutionize your processes!

Join the Journey! 🚀

Take the leap, get involved in communities, and transform your ideas into actionable insights without writing a single line of code!

Remember, as Thomas Edison said, “Genius is one percent inspiration and ninety-nine percent perspiration.” Let’s bring that inspiration to life with well-crafted AI solutions! 🌟


Resource Toolbox:

  1. Free Skool Community – Join for free workflow downloads and resources: Skool Free
  2. Paid Skool Community – Ideal for advanced learning: Skool Paid
  3. AI Consulting Services – For tailored help: Uppitai
  4. Chart Image API – Explore more: Chart Image
  5. OpenAI API – Learn about integrating AI: OpenAI

This breakdown provides not just the mechanics of constructing your AI agent but also a narrative that illustrates its value, creating a powerful learning journey. Now, go forth and unleash your potential! 🚀

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