fiquant/marketsimulator

The 'marketsimulator' project is a dormant academic or personal experiment, evidenced by its extreme age (over 12 years) and zero current velocity. With only 69 stars accumulated over a decade, it lacks the community momentum or technical gravity required to be considered defensible. The codebase likely implements standard agent-based modeling (ABM) patterns—such as zero-intelligence or trend-following agents interacting with a limit order book—which have since been superseded by more sophisticated frameworks (e.g., Mesa in Python) or high-fidelity commercial simulators like Simudyne. From a competitive standpoint, there is no moat; the logic is reproducible by any quant developer. Frontier labs pose low risk because the project is too niche and academically focused for them to target directly, but the project is already effectively displaced by modern machine learning-driven simulation techniques (like Multi-Agent Reinforcement Learning) that offer better predictive power for market microstructure than the rule-based agents likely found here.