Copy Trading Platform with Real-Time Signals: Case Study

About the Project

We built a copy trading platform with real-time signals and auto-following for one of our clients. The product was developed for the US market, and the project took 6 months to complete. The technology stack included PHP 8.x, Node.js, React, TON SDK, Solana Web3.js, PostgreSQL, Redis, Docker, WebSocket, and GitLab CI/CD.

Author: Mint Scripts Studio Team — 10+ years in Web3 and Fintech development. mintscripts.net | @mintscripts_studio

Our team included 5 developers, 2 designers, and 1 project manager. We used Scrum methodology for project management and quality control.

Client's Task

The client wanted to create a platform that would allow users to copy the trades of professional traders in real time. The platform was supposed to include auto-following features so users could automatically copy the trades of selected traders. Additionally, the client wanted to integrate the platform with popular exchanges and crypto wallets.

• Creating a platform with real-time signals and auto-following
• Integration with popular exchanges and crypto wallets
• Developing user interface and user experience

Technical Challenges

One of the technical challenges was the need to create a real-time signal system that could handle a large number of requests per second. We solved this problem using WebSocket technology, which allows two-way communication between client and server.

• Creating a real-time signal system
• Processing a large number of requests per second
• Integration with exchanges and crypto wallets

We also faced the challenge of creating auto-following, which required developing a complex algorithm for copying the trades of professional traders. We solved this problem using Solana Web3.js technology, which allows the creation of decentralized applications.

Solution Architecture

The architecture of our platform included several components, including server-side, client-side, and database. The server-side was developed on Node.js and used WebSocket technology to create real-time signals. The client-side was developed on React and used Solana Web3.js technology for integration with exchanges and crypto wallets.

// Example code for creating real-time signals
const WebSocket = require('ws');
const wss = new WebSocket.Server({ port: 8080 });

wss.on('connection', (ws) => {
  console.log('Client connected');
  ws.on('message', (message) => {
    console.log(`Received message: ${message}`);
  });
});

The database was developed on PostgreSQL and used Redis technology for data caching.

What the Client Received

The client received a platform that allowed users to copy the trades of professional traders in real time. The platform also included auto-following features so users could automatically copy the trades of selected traders. The project took 6 months to complete, and the project cost was estimated at $100,000.

• Platform with real-time signals and auto-following
• Integration with popular exchanges and crypto wallets
• User interface and user experience

Launch a Similar Project

If you want to launch a similar project, you can contact us at mintscripts.net or on Telegram @mintscripts_studio. We are ready to help you develop your project and provide you with the necessary services and solutions.

Frequently Asked Questions

What is the cost of developing a platform with real-time signals and auto-following?

The cost of developing a platform with real-time signals and auto-following can vary depending on the complexity of the project and the technologies used for its development. On average, the cost of such a project can range from $50,000 to $200,000.

What team is needed to develop a platform with real-time signals and auto-following?

The team needed to develop a platform with real-time signals and auto-following may include 5-10 people, including developers, designers, and project managers.

What are the timelines for implementing a project with real-time signals and auto-following?

The timelines for implementing a project with real-time signals and auto-following can vary depending on the complexity of the project and the technologies used for its development. On average, the timelines for such a project can range from 3 to 6 months.