CryptoArb AI – Real-Time Crypto Arbitrage Engine

Real time Funding Rate arbitrage screener
One click arbitrage screener
Real time Spot vs Future arbitrage screener
Real time Cross Exchange arbitrage screener
Calculator to calculate estimate profits

Inspiration

Cryptocurrency markets are highly fragmented across many exchanges such as Binance, Bybit, and OKX. Because each exchange has different liquidity, funding mechanisms, and market participants, prices and funding rates often differ between platforms.

These differences create arbitrage opportunities such as funding rate arbitrage, spot–futures spreads, and cross-exchange price differences. However, discovering these opportunities manually is extremely difficult because traders need to constantly monitor multiple exchanges and hundreds of trading pairs.

I was inspired to build CryptoArb AI, a platform that automatically scans the global crypto market in real time and highlights the most profitable arbitrage opportunities.

What it does

CryptoArb AI – Real-Time Crypto Arbitrage Engine is a platform that monitors multiple cryptocurrency exchanges and detects arbitrage opportunities instantly.

The platform identifies three major types of opportunities:

Funding Rate Arbitrage Find exchanges where funding rates differ significantly so traders can long on one exchange and short on another.

Spot vs Futures Arbitrage Detect futures premium or discount opportunities by comparing spot and perpetual futures prices.

Cross-Exchange Arbitrage Identify price differences of the same asset across different exchanges.

All opportunities are ranked automatically by profitability and displayed in a professional trading dashboard.

How I built it

CryptoArb AI was built using a modern full-stack architecture.

Frontend

React
TypeScript
Tailwind CSS
Real-time dashboard UI

Backend

Node.js
Express
WebSockets for real-time updates

Market Data Integration

CCXT library to connect with multiple exchanges and fetch market data.

The backend continuously scans exchanges and calculates spreads between spot prices, futures prices, and funding rates. These opportunities are then streamed to the frontend in real time using WebSockets.

Challenges I ran into

One of the biggest challenges was handling real-time data from multiple exchanges simultaneously. Each exchange has different APIs, data formats, and rate limits.

Another challenge was normalizing trading pairs