Research & Platform
You run a strategy, not just a membership.
Everything is simulated — no pooled money, no member capital at risk. The point is to do the actual work of a quantitative researcher.
01 Paper prop shop
Real research workflow, simulated capital.
Members work in small pods, each responsible for a systematic strategy on liquid US equities and ETFs. You research an idea, backtest it with our internal toolkit, and once it passes validation it runs live on simulated accounts through our central platform.
Form a hypothesis, test it honestly, watch it survive or fail out of sample, and be accountable for the result.
02 Workflow
From idea to tracked performance.
01
Idea
02
Backtest
03
Validate
04
Execute
05
Track
03 Pods
Small teams, full accountability.
Each pod owns one systematic strategy. Pods are deliberately small so every member contributes to research, implementation, and post-trade analysis. Performance is tracked on a shared leaderboard.
04 Platform
One platform, every pod.
Our infrastructure is built in-house. Researchers use a Python toolkit locally for backtesting and validation; a central platform executes all pods, aggregates results, and surfaces performance on a shared dashboard.
Strategy code stays pure logic. Execution, risk controls, and circuit breakers are handled by the platform — the same separation of concerns you would find at a professional desk.
05 Disclaimer
Simulated trading only.
All trading activity at MQR is simulated on paper accounts. MQR does not manage money, accept member capital, or provide investment advice.