- Self-studying quantitative trading: factor models, backtesting frameworks, market microstructure
- Building personal infrastructure for cross-border investing (IBKR + global allocation)
- Writing data-driven content on US markets — verifying claims with code instead of trusting "trading systems"
- AI × finance: agents, content extraction, structured analysis
- Anti-noise frameworks: backtesting popular strategies to show what actually works (and what does not)
Python · TypeScript · vectorbt · LLM integration · Obsidian