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St0x: Tokenized stock trading platform

Decentralized token management platform designed to streamline real-time trading and management of tokenized stock assets, providing users with secure, transparent transactions and up-to-date market data from multiple brokers.
St0x
Project category

Web3 & Blockchain

Industry

Fintech, Web3

Location

Global

Duration

Jul 2024 - Sep 2024

Blockchain-based token management platform

St0x is a decentralized platform for real-time trading of tokenized stock assets. By leveraging blockchain and broker integrations, users can buy and sell synthetic shares like GME or Apple with transparency and ownership control. The platform aggregates price feeds from brokers like IBKR, automates trades via smart contracts, and stores historical data for performance analysis — enabling fast and secure tokenized asset management.

Thanks to real-time updates via WebSockets and scalable backend architecture, users benefit from instant execution and uninterrupted access to live market data. St0x bridges the gap between traditional finance and DeFi, offering users a secure and intuitive way to trade synthetic stocks directly on the blockchain.

Objectives

The primary objectives for the development of St0x were:

  • To create a high-performance platform for buying, selling, and managing tokenized stock assets in real-time.
  • To provide seamless integration of blockchain data with token pricing information from multiple brokers.
  • To ensure secure, transparent transactions through smart contracts and a robust backend system.
  • To deliver real-time token price updates and historical data storage for better user insights.

Approach used

The development process included:

  • Integrating Cloudflare Workers to handle high volumes of requests and trigger smart contract execution in real-time, ensuring order matching without delays.
  • Implementing smart contracts to automate trade processes and ensure optimal pricing for tokenized assets.
  • Storing real-time data with Durable Objects for quick access to broker-specific token prices during transactions.
  • Maintaining long-term historical data through the D1 database for detailed performance analysis.
  • Providing real-time token price updates via WebSockets for accurate tracking.
  • Aggregating token prices from multiple brokers, including IBKR, for transparency and accuracy.

Main page
Main page
Main page
Broker info
Data broker activity
Broker data equities
Broker data transfers
Data panel
Order book
Markets overview
Portfolio
Portfolio

Technologies used​

  1. Solidity: For developing smart contracts.
  2. HardHat: For deploying rain orders smart contracts, testing, and scripting automation.
  3. Python: For backend services that interact with smart contracts and manage data aggregation.
  4. TypeScript: For developing robust, type-safe Workers and Durable Objects logic.
  5. WebSockets: To provide live updates on token price changes and historical data for users.
  6. Cloudflare Durable Objects: Manage token-specific data, providing a distributed system for storing and processing real-time information.
  7. Cloudflare D1 Database: Used for long-term storage of token prices and historical data.
  8. Cloudflare Workers: The backbone of the platform, handling user requests, blockchain event processing, and interactions with smart contracts.
  9. Next.js - It optimizes scripts, images, and fonts, while allowing easy integration of meta-information for SEO.
  10. Wagmi + Viem: Simplifies the integration of etherium into web application - makes it easy to "Connect Wallet", display ENS and balance information, interact with contracts, sign messages and other.
  11. TypeScript: Allows to track type errors and others at the development stage.
  12. Tailwindcss: Allows to minimize project structure, and utility classes speed up component styling and are easy to maintain.
  13. Graphql-request - Minimal GraphQL client supporting Node and browsers for scripts or simple apps. To send graphql queries to the application backend.
  14. Testing: Automated testing of Workers and Durable Objects and D1 using Wrangler and Vitest to simulate real-world usage and ensure data consistency.

Additional Features:

  1. Historical Data Storage: Through D1, the system stores and provides access to token performance data over time.
  2. Global Low-latency Access: By leveraging Cloudflare’s global network, the system ensures low-latency data access for users worldwide.
  3. Scalability: Built to handle high traffic and token price updates with low overhead using Cloudflare’s edge infrastructure.

Tech stack

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