Whaleswap AI is a next-generation fintech platform built to empower crypto investors with real-time AI-supported copy trading, portfolio management, and trader analytics. This project demonstrates how AI, real-time data processing, and secure trading infrastructure can be combined into a scalable, production-grade solution.
⚠️ This repository does not contain source code due to confidentiality. It serves as a technical case study and architectural showcase.
- Enable secure, real-time copy trading directly through users' exchange accounts (Binance, Bybit, Hyperliquid)
- Provide AI-powered trader analysis using GPT and ML models
- Offer a comprehensive portfolio dashboard: PnL, ROI, asset tracking
- Maintain high scalability, low latency, and end-to-end data transparency
- Languages: Python, Node.js
- Frameworks: Django, FastAPI
- Realtime & Messaging: WebSocket, Redis, Kafka, Celery
- Microservices: Modular design with REST and GraphQL APIs
- ChatGPT integration for Trader Profiling
- PyTorch, TensorFlow for ML components
- React, Next.js
- AWS (EC2, S3, Lambda)
- Docker & Kubernetes
- CI/CD: GitHub Actions
- JWT Authentication
- Encrypted API key storage
- Audit logging and data traceability
- AI Trader Analysis: GPT-assisted trader rating and profile insights
- Copy Trading Terminal: Trade from multiple exchanges directly via API
- Portfolio Tracker: Real-time metrics and advanced filtering
- Signal & Alert System: Telegram bot integration for push updates
- Admin Panel: Trade monitoring, user logs, system metrics
Led product roadmap, community growth, and investor alignment. Ensured every feature aligns with transparency, speed, and user empowerment.
This case study is part of my technical portfolio.
If you’re interested in building something like this — feel free to reach out:
📫 idrisibrahimerten@gmail.com
🔗 LinkedIn