A research-driven initiative to fund, scale, and support systematic traders — from experienced quants to emerging talent.
Professional Quantitative Trading Initiative by Limex
We collaborate with systematic traders and asset managers to uncover market opportunities through rigorous research, advanced infrastructure, and aligned capital support.
Limex Quantum is a proprietary trading initiative focused on mid- and high-frequency strategies.
What is Quantum?
Built by Limex
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Multi-asset execution and data services
Our foundation includes:
Quantum is part of Limex, the innovation division of Lime Trading Corp, a U.S.-regulated prime brokerage serving hedge funds, HFTs, and institutional managers since 2003.
FIX and REST API infrastructure for custom strategy deployment
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Direct market access and co-location options
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Full regulatory coverage across major global markets
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Who
We Support
We Support
Students and Early-Career Quants
Professional Quantitative Traders
We support the next generation of trading talent through:
We provide funding, infrastructure, and strategic support to help turn trading ideas into scalable, institutional-grade investment products.
We work with:
Established proprietary trading firms and hedge funds
Emerging CTAs and asset managers
Independent systematic traders
Real-world strategy deployment and validation
Capital access through internal or partner structures
Research mentorship from seasoned professionals
Selective internship programs
How We Help
Research
& Mentorship
& Mentorship
Infrastructure & Execution
Get tailored guidance from industry veterans and active researchers.
Leverage our technical stack to support strategy deployment.
Portfolio and risk management tools with customizable dashboards
Real-time and historical market data access
Low-latency, cross-venue execution
Portfolio diagnostics, optimization, and enhancement
Peer review and strategy validation
Mentorship for internal and sponsored traders
Support with onboarding to private wealth platforms
Performance validation, compliance, and investor-readiness
Proprietary and partner capital access
Institutional execution framework
Customizable risk management overlays
Grow your assets under management through direct funding or co-managed structures. We connect you to deep global liquidity and support your strategy as it scales.
Turn your models into investable products that meet institutional standards.
Strategy Funding & Scaling
Strategy Productization
Strategy packaging for distribution to family offices, funds, and banks
For Students & Early Careers
Build a Real Track Record
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Performance-Driven Compensation
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Intern With Us
We reward contribution — not seniority. Junior traders and interns with strong performance have access to compensation and opportunities typically reserved for senior professionals.
Our internal capital structures allow early-career traders to launch their own strategies and begin tracking real-world performance from day one. You’ll leave with tangible proof of value, not just experience.
Gain practical experience by working directly with quant researchers and traders. Our internships are structured, immersive, and focused on real deliverables. Top performers receive early job offers or capital allocations.
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Why Limex Quantum?
Backed by Experience
Flexible Engagement Models
We don’t compete with you. We support your growth and participate in your success.
Aligned Incentives
Remote-Friendly, Globally Connected
Trade from anywhere while accessing global markets and enterprise-level tools.
Collaborate with a team that’s built platforms, managed portfolios, and trained successful traders.
Retain your intellectual property, choose your own structure, and scale on your terms.
Learn & Grow with Quantum
You’ll learn:
The course is updated regularly to reflect market dynamics, new technologies, and real-time case studies from active traders.
Our in-house educational program offers a complete guide to building, testing, and deploying systematic trading strategies. Designed for both aspiring and experienced quants.
Advanced Algorithmic Trading Course
Portfolio construction and scalability considerations
Risk models, analytics, and execution optimization
Backtesting and return prediction techniques
Strategy development for futures and equities
Signal research and alpha generation
Apply
to join Quantum
to join Quantum
Choose the path that best matches your background and ambitions
Apply to join Quantum
Requirements
We welcome applicants from diverse academic and professional backgrounds — particularly those with education in:
- Physics, Computer Science, Mathematics, Engineering, or Data Science
- Strong analytical and programming skills (Python, R, C++, or Java)
- Foundational knowledge of financial markets and trading systems
- Demonstrated interest in quantitative research and modeling
Previous project or internship experience in algo trading is a plus, but not a requirement.
- Physics, Computer Science, Mathematics, Engineering, or Data Science
- Strong analytical and programming skills (Python, R, C++, or Java)
- Foundational knowledge of financial markets and trading systems
- Demonstrated interest in quantitative research and modeling
Previous project or internship experience in algo trading is a plus, but not a requirement.
We’re looking for people who:
- Are passionate about systematic trading
- Can dedicate time for research and model development
- Communicate complex ideas clearly
- Are open to feedback and collaboration
- Are passionate about systematic trading
- Can dedicate time for research and model development
- Communicate complex ideas clearly
- Are open to feedback and collaboration
Testimonials
The hands-on assignments in the course were exceptional, particularly Assignment 4.1. I explored various types of regularization and demonstrated that L2 regularization performed best in my example. The strategy encouraged me to think beyond the basics, incorporating feature engineering, testing new targets, and experimenting with stop loss and take profit mechanisms. The course's practical approach and focus on real-world applications have significantly enhanced my understanding and skills in algorithmic trading.
Alice A.
Math and probability theory student
I have never encountered such a deep dive into the methodology of developing algorithmic strategies as part of free content from industry professionals. The course challenged me with its depth and precision, pushing me to understand complex concepts like the momentum smile, contango/backwardation adjustments, and pair trading risk neutralization. Whenever I faced challenges, the Limex Quantum team was incredibly supportive, answering my questions and providing valuable academic resources. This experience has inspired me to study further and prepare a results portfolio to join their team of external research consultants
Robert L.
Math and CS student
The lectures are highly engaging, and the additional research tasks in the Python notebooks are both challenging and rewarding. I’ve successfully completed several tests, but one particularly thought-provoking problem stood out: calculating the maximum Sharpe ratio under specific conditions. This question encouraged me to think critically about the independence of returns and explore scenarios with dependent returns, where the coefficient could exceed the given solution. The depth of these challenges makes the course an excellent resource for aspiring algorithmic traders.
Matthew S.
Math and CS undergraduate
The course materials and Python notebooks have been incredibly well-structured and insightful. Although I’ve been busy with university exams, I’m looking forward to fully engaging with the assignments starting in January-February. The quality of the content has already given me confidence that this course will significantly enhance my understanding of algorithmic trading methodologies.
Geoffrey B.
Math and CS student
The Algorithmic Trading course has been an invaluable learning experience. While academic commitments limited my time recently, I’ve still managed to prepare and submit my analysis for Module 1, which I hope meets the high standards of the program. The course has fueled my enthusiasm for the field, and I’m eager to dedicate more time to the materials after my exams. I truly believe this opportunity aligns perfectly with my skills and aspirations, and I’m excited to contribute further in the near future.
Nihar P.
Math and CS student
I have never encountered such a deep dive into the methodology of developing algorithmic strategies as part of free content from industry professionals. The course challenged me with its depth and precision, pushing me to understand complex concepts like the momentum smile, contango/backwardation adjustments, and pair trading risk neutralization. Whenever I faced challenges, the Limex Quantum team was incredibly supportive, answering my questions and providing valuable academic resources. This experience has inspired me to study further and prepare a results portfolio to join their team of external research consultants
Robert L.
Math and CS student
The hands-on assignments in the course were exceptional, particularly Assignment 4.1. I explored various types of regularization and demonstrated that L2 regularization performed best in my example. The strategy encouraged me to think beyond the basics, incorporating feature engineering, testing new targets, and experimenting with stop loss and take profit mechanisms. The course's practical approach and focus on real-world applications have significantly enhanced my understanding and skills in algorithmic trading.
Alice A.
Math and probability theory student
The lectures are highly engaging, and the additional research tasks in the Python notebooks are both challenging and rewarding. I’ve successfully completed several tests, but one particularly thought-provoking problem stood out: calculating the maximum Sharpe ratio under specific conditions. This question encouraged me to think critically about the independence of returns and explore scenarios with dependent returns, where the coefficient could exceed the given solution. The depth of these challenges makes the course an excellent resource for aspiring algorithmic traders.
Matthew S.
Math and CS undergraduate
The course materials and Python notebooks have been incredibly well-structured and insightful. Although I’ve been busy with university exams, I’m looking forward to fully engaging with the assignments starting in January-February. The quality of the content has already given me confidence that this course will significantly enhance my understanding of algorithmic trading methodologies.
Geoffrey B.
Math and CS student
The Algorithmic Trading course has been an invaluable learning experience. While academic commitments limited my time recently, I’ve still managed to prepare and submit my analysis for Module 1, which I hope meets the high standards of the program. The course has fueled my enthusiasm for the field, and I’m eager to dedicate more time to the materials after my exams. I truly believe this opportunity aligns perfectly with my skills and aspirations, and I’m excited to contribute further in the near future.
Nihar P.
Math and CS student
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