At Quantitative Strategies Group (QSG), technology is not a backend utility — it is an integral part of how we research, build, and deploy trading strategies. Our platform blends engineering rigor with practical design so traders can move from research to live execution with confidence and precision.
Our proprietary system combines:
This unified infrastructure means the same core models and risk frameworks used during research run in production. It reduces translation gaps between idea and execution and gives traders a consistent, auditable workflow from concept to live trading.
We invest in robust data pipelines and execution systems that support:
Traders have access to secure repositories, scalable compute resources, and tooling that lets them focus on insight and innovation rather than plumbing.
QSG approaches markets with a blend of systematic research, statistical rigor, and disciplined risk oversight. While we employ a range of methods, our emphasis is on strategies that can be:
Many of our models make use of statistical techniques, machine learning, and data-driven heuristics to uncover inefficiencies and structure in markets. This approach enables our traders to explore ideas across horizons and styles, while our technology ensures rigorous evaluation and controlled live deployment.
Our systems are designed so that traders from undergraduates through senior levels can:
Technology at QSG amplifies skill; it does not replace it. We expect traders to bring technical depth, creative modeling, and disciplined execution to fully leverage the platform.
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New York, NY
10004
Disclaimer: The content of this website is for informational purposes only and should not be construed as a recommendation or offer to buy or sell any security. Quantitative Strategies Group LLC(QSG) is a private company and does not seek outside investment. Nothing on this website constitutes an offer to invest in QSG or any of its affiliated entities. All trading strategies and methodologies described are proprietary and for illustrative purposes only. Past performance is not indicative of future results.
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