I'm a Python engineer and systematic discretionary trader focused on data-driven systems, market structure, and decision architecture.
I design tools that merge research, technology, and strategy — from trading frameworks to analytical platforms.
- MetaQuant — research and analytics engine for trading systems
- MetaMacro — internal global macro framework (hybrid discretionary + systematic)
- Quantitative Strategy Design — modeling price behavior, volatility structure, and execution logic
- Automation & Data Infrastructure — Python-based tools for research, data processing, and production systems
I run a team that write about markets and investment positioning ideas
Python • Pandas • NumPy • Matplotlib • Streamlit • Plotly • FastAPI
Quantitative Research • System Design • Automation
You could just build stuff
Although my core projects are private, they include:
- Internal tools for multi-timeframe market analysis
- Modular research frameworks for quantitative systems
- Automation pipelines for data ingestion, validation, and backtesting
- Interfaces for structured decision-making and performance reporting

