Research & Platform
MQR's Research Department
Our selective internal research department for those motivated with doing proper quantitative research in a structured way.
Systematic research
A real research workflow.
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.
Workflow
From an idea to edging out the markets.
01
Ideate
01
Build
02
Backtest
03
Validate
04
Release & Monitor
Pods
Small teams, full accountability.
Each pod owns one systematic strategy. Pods are intentionally small so every member contributes to research, implementation, and post-trade analysis. Performance of each pod is tracked on a shared leaderboard.
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 shows each pod's performance on a shared dashboard.