⚡ MultiAgentHFT
A multi-agent system for high-frequency trading. Built with a hybrid C++/Python architecture, the platform integrates seamlessly with the IBKR API and ClickHouse, processing millions of market events per second with sub-millisecond latency.
🔹 Focus
- Modular intelligent agents
- Fault tolerance and resilience
- Ultra-low latency execution
🔹 Tech Stack
- Languages: C++20, Python 3.11
- Messaging: ZeroMQ
- Infrastructure: Docker, GitHub Actions
- Database: ClickHouse
🔹 Highlights
- Real-time dashboards powered by intelligent trading agents
- Scalable pipelines for live tick data and historical queries
- Extensible environment to integrate ML models for predictive analytics and trend forecasting
🔹 Outcome
A resilient foundation for algorithmic trading strategies, backtesting, and AI-driven decision-making in production.
🔹 Consolidated Projects
📊 AI Dashboards
Interactive dashboards for financial insights and education.
- Focus: developer-friendly UX, automated alerting and reporting
- Stack: React 18, FastAPI, Tailwind, ClickHouse
- Outcome: real-time visualization of signals, strategies, and logs
📈 Backtesting Engine
A simulation environment for quantitative finance strategies.
- Focus: reproducibility, performance metrics, visualization
- Stack: Python, Pandas, Numpy, Matplotlib
- Outcome: faster prototyping and validation of trading strategies
🤖 LLM Tooling
Generative AI tools to support developers.
- Focus: code-assist, automated documentation, productivity enhancement
- Stack: OpenAI API, Copilot, GitHub Actions
- Outcome: seamless integration of LLMs into CI/CD workflows
📡 Market Data API
Resilient, low-latency market data acquisition system.
- Focus: real-time processing, error recovery, API reliability
- Stack: C++, WebSockets, REST, IBKR API
- Outcome: stable feed for downstream ML pipelines