AI Investment Research
How AI enters institutional information processing, evidence tracking, thesis revision and research production.
LUNARTULIP LABRESEARCH NOTES / ARCHIVE
Research methods, system practice and long-horizon thinking
Research on AI-native investing, discretionary fundamentals, systematic validation and institutional decision systems. Company and industry studies live in Deep Dive; historical calls are aggregated in the Authority Ledger.
AI for Quantitative Investing
How agents, code generation and machine learning reshape factor research, strategy validation and quantitative engineering.
Quantamental Investing
How industry understanding, discretionary theses and quantitative discipline operate in one portfolio decision language.
AI-Native Fund
The long-term institutional form that connects research, validation, risk, decision memory and NAV feedback.
Agentic Investment Research
How orchestrated, auditable and traceable agent workflows become buy-side research infrastructure.
Buy-Side Decision Systems
P&L Is Not Experience: The Missing Decision-Attribution Layer After the Self-Driving Portfolio
Once an autonomous portfolio can trade on its own, the binding constraint is credit assignment: the four layers that turn realised P&L into reusable investment experience.