Quantitative Trading
Dornell Capital is an independent trader and quantitative trading consultant. We trade our own strategies while partnering with quantitative firms to design, test, and productionize systematic approaches. Our work includes building machine learning models, AI-driven tooling, and transparent rule-based systems, grounded in rigorous backtesting, robust risk controls, and institutional-grade execution standards. By combining hands-on trading experience with quantitative methods, we deliver end-to-end frameworks built for consistency, scalability, and repeatable performance.
Research, Trading & Technology
Dornell Capital builds and runs systematic strategies from research to live execution. We blend rule-based methods with AI and machine learning, grounded in rigorous testing and strict risk control.
​Systematic Strategy Research & Development
We develop quantitative trading strategies spanning transparent, rule-based systems and advanced AI and machine learning models. Each strategy is researched in-house, validated on high-integrity data, and stress-tested across multiple market regimes before approval for live deployment.
Live Trading & Portfolio Management
Our strategies are assembled into diversified portfolios designed to deliver stable, risk-adjusted returns over time. We emphasize systematic execution, clearly defined risk limits, and continuous monitoring, ensuring every position follows a disciplined, data-driven process.
Quantitative & AI Expertise
Dornell Capital integrates AI, machine learning, and quantitative finance into a disciplined trading framework built for real-world execution, continuously strengthening our methods and infrastructure to improve robustness over time, while also offering consultancy services to quantitative firms.
Careers & Collaboration
At Dornell Capital, we work with people who take systematic trading seriously and understand what technology can actually deliver in live markets. We operate where AI, machine learning, and quantitative trading meet, and we’re always keen to connect with specialists who bring depth in any of these areas.
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Whether you’re strongest in data engineering, model building, strategy design, or robust implementation, we value clear thinking, clean execution, and an evidence-based mindset. If you want to help build rule-based and AI-driven strategies in a focused, high-standard environment, we’d love to hear from you.
Technology & Data
Technology is at the core of how Dornell Capital works. Our research and trading infrastructure is built to let us collect, clean and analyse large amounts of market data, run extensive backtests and move efficiently from idea to live strategy. We combine modern data tooling, computing resources and automation so that our research is repeatable, transparent and easy to audit.
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We use a mix of open-source libraries, in-house tools and cloud-based infrastructure to support both rule-based models and more advanced AI and machine learning approaches. Every strategy we deploy is backed by a clear data pipeline and systematic monitoring, allowing us to track behaviour over time, detect changes in performance and adjust when the evidence demands it. The goal is simple: use technology and data not as buzzwords, but as practical tools to build and maintain robust, systematic trading strategies.