Stoneguard Strategic Investments
Systematic trading. Risk-led execution. Technology-driven market research.
Stoneguard Strategic Investments is a family-founded investment and trading technology company developing systematic approaches to US stocks trading. Our work combines market structure research, risk factor modelling, catalyst analysis, and algorithmic execution.
What We Do
We build and operate systematic trading capabilities across the full research-to-execution stack for US stocks.
US Equities Research
We study market structure, liquidity dynamics, and participant behaviour to inform systematic trading decisions across US listed stocks.
Risk Factor Modelling
Our models quantify exposure to volatility, sector, momentum, and microstructure factors—giving every strategy a clear risk profile before capital is deployed.
Catalyst Analysis
We identify and score event-driven signals—earnings, macro releases, corporate actions—within frameworks designed for systematic incorporation.
Algorithmic Execution
Purpose-built execution logic translates research outputs into live orders, with controls for slippage, timing, and position limits.
Our Approach
Disciplined process, explicit risk boundaries, and technology that earns its place in the workflow.
Research Before Capital
Every idea is developed, tested, and stress-scored in simulation before it touches a live account. Hypothesis quality matters more than trade frequency.
Risk as a First Constraint
Position sizing, drawdown limits, and factor exposure caps are defined upfront—not adjusted after the fact. Risk parameters shape strategy design, not the reverse.
Iterate With Evidence
We favour short research cycles, reproducible experiments, and clear documentation. Results that cannot be replicated are not promoted to production.
Technology Focus
The systems we build reflect how we work—modular, testable, and designed for the pace of quantitative research.
Data Infrastructure
Pipelines ingest tick, bar, and fundamental data into a unified research environment with versioned datasets and reproducible transforms.
Signal Research & ML
Feature engineering, factor construction, and model training workflows support rapid experimentation—without sacrificing rigour or traceability.
Simulation & Backtesting
Event-driven backtesters model realistic fill assumptions, transaction costs, and latency so research results translate more faithfully to live conditions.
Execution Systems
Production services handle order routing, monitoring, and alerting—with the observability and fault tolerance expected of trading infrastructure.
Building With Specialists
Stoneguard is a small, focused team. We grow capability by working with people who bring depth in their domain—not by scaling headcount for its own sake.
Developers & ML Engineers
We work with engineers who care about clean systems, measurable outcomes, and production-grade code. If you build data pipelines, models, or execution tooling, there may be room to collaborate.
University & Research Contacts
We are interested in academic partnerships around market microstructure, quantitative finance, and machine learning applied to systematic trading.
Commercial Partners
Data vendors, cloud providers, and technology platforms that serve systematic trading firms—we evaluate partnerships where infrastructure quality directly supports research velocity.
Interested in working together?
Whether you are an engineer, researcher, academic contact, or commercial partner—we welcome a direct conversation about where interests may align.