Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

How I Created an Ultra-Cool Trading Dashboard in Just 3 Minutes Using Claude 3.5 Sonnet

2 min read

As someone new to React and its components, I never thought I’d be able to create a professional-looking trading dashboard. But with the help of AI, specifically Claude 3.5 Sonnet, I managed to build an impressive dashboard in just 3 minutes! Here’s how it went down.

The Challenge

I wanted to create a sleek, modern trading dashboard with real-time market data, charts, and a watchlist. The catch? I had little experience with React and wasn’t sure where to start.

Enabling Claude 3.5 Sonnect Artifact Feature

Artifacts on Claude.ai are like special tools that help you work better with AI. When you ask Claude to create something, like a piece of code, a text document, or a website design, these creations show up in a separate window next to your conversation. This way, you can see, change, and improve Claude’s creations right away, making it easy to add AI-generated content to your projects and tasks. It’s a dynamic workspace that helps you work more efficiently with the help of AI.

Enter Claude 3.5 Sonnet

That’s when I turned to Claude 3.5 Sonnet, an AI assistant capable of generating code and providing guidance. Here’s the step-by-step process and the prompts I used:

  1. Initial Request:
    Prompt: “Convert this image to html trading dashboard with very good aesthetic look. make it look exact and smooth. Use tailwind CSS and heroicons wherever it is required” I shared an image of a trading dashboard I liked, and Claude generated the initial React component with Tailwind CSS styling.
  2. Refinement:
    Prompt: “make it even more aesthetic and add more symbols to watchlist” Claude enhanced the design and expanded the watchlist with more symbols.
  3. Adding Flags:
    Prompt: “add a small country flag in each index box” Claude updated the component to include emoji flags for each index, adding a nice visual touch.
  4. Deployment Guidance:
    Prompt: “how to run this code” Claude provided step-by-step instructions on setting up a React project and running the dashboard locally.

The Result

In just these few steps, I had a fully functional, visually appealing trading dashboard. It includes:

  • A responsive layout with a dark theme
  • Real-time market data for major indices
  • A line chart for visualizing market trends
  • A customizable watchlist
  • Country flags for each index
  • Search functionality and navigation menu

Lessons Learned

  1. AI as a Coding Partner: Claude 3.5 Sonnet proved to be an invaluable partner, providing not just code but explanations and guidance.
  2. Rapid Prototyping: With AI, I could iterate quickly, refining the dashboard in minutes rather than hours or days.
  3. Learning Opportunity: Through this process, I gained insights into React components, Tailwind CSS, and modern web development practices.
  4. Customization is Key: While AI provided the foundation, I could easily customize the dashboard to my specific needs.

Creating this ultra-cool trading dashboard in just 3 minutes was an eye-opening experience. It showed me the power of AI-assisted development and how tools like Claude 3.5 Sonnet can bridge the gap for beginners in complex fields like web development.

Whether you’re a seasoned developer looking to speed up your workflow or a newcomer trying to break into web development, I highly recommend giving AI-assisted coding a try. You might be surprised at what you can create in just a few minutes!

Remember, while AI can give you a great starting point, the real magic happens when you take that foundation and make it your own. Happy coding!

Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

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