Generate
Agents turn research context and market observations into testable investment hypotheses.
Grace Investment Machine
Building agentic intelligenceto solve markets.
Our vision
Visionary Machine, Shared Prosperity.
GIM builds self-learning agent systems that generate investment hypotheses, validate them against market evidence, and improve through continuous research feedback.
Explore the research system ↗︎Validate
Each hypothesis becomes code and is evaluated against data, robustness tests, and market evidence.
Evolve
Successful and failed experiments become research memory, guiding the next cycle of discovery.
A Century of Investing Innovation
From human judgment to self-improving research systems.
Human-driven
1930s–Fundamental analysis and value investing put human judgment at the center — one company, one thesis, one decision at a time.
Security analysis · Value investingModel-driven
1990s–Multi-factor models and statistical methods turned investment ideas into systematic, testable signals.
Factor models · Systematic investingAgentic
TodayAgents run the research process, test their own hypotheses, and self-improve through continuous feedback.
Agentic research · Self-improving systemsHumans interpreted fundamentals. Models systematized signals. Now agents run the research loop — and improve with every cycle.
Latest research
Research, tested beyond the paper.
From published research to independent replication and live-market validation.
Paper · ACL 2026 Oral
Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
A framework combining code-level alpha representation, LLM reasoning, and evolutionary search for automated and interpretable signal discovery.
ACL 2026 · Oral presentation, main conference · July 2026Paper · July 2026Research · July 2026
XALPHA: A Memory-Driven AI Quant Researcher
An end-to-end research system that learns from successful and failed research cycles.
Read the paper ↗︎MicroTSM: Market Microstructure for Financial Time Series
Financial time-series modeling with Level-2 and tick-level market microstructure data.
Explore the research ↗︎Global expertise
A global team spanning investing, frontier AI, and research.
Our team brings together experience from Millennium and other leading global investment firms, frontier AI organizations including DeepMind, Meta, and Microsoft, and academic institutions including Harvard University, the University of Oxford, Tsinghua University, Peking University, the University of Hong Kong, and other leading universities.