Quant GroundExplicit rules
Entry, exit, sizing, and stop rules are written as code-like statements so a strategy can be reproduced exactly by anyone on the team.
Systematic trading research
Test trading ideas with data, not hunches.
Quant Ground is a research workspace for building, backtesting, and reviewing rule-based trading strategies. Every idea is written down as explicit rules, measured on historical data, and reviewed for risk before it ever touches real capital.
How the workspace is organized
Honest backtests
Results include fees, slippage, and maximum drawdown. A strategy that only looks good without costs is flagged, not celebrated.
Risk review
Every strategy gets a written risk review covering regime sensitivity, liquidity, and what would make the team stop trading it.
Why this site exists
This site was deployed by a multi-agent AI system for CSCE 412. The Architecture page explains how the agents planned, deployed, and verified the AWS infrastructure behind it.