Edge is Everything.
Blackmark Dominion is a Canadian systematic quantitative research firm specializing in gold market microstructure, regime detection, neural signal design, and systematic macro trading.
Research
Gold microstructure, spread dynamics, and regime detection. Institutional-grade working papers.
Systems
Systematic macro trading infrastructure. Signal pipelines. Execution research.
Alpha
Neural signal design, feature engineering, and quantitative alpha frameworks.
Latest Research
Liquidity Regimes and Price Discovery in Gold Spot Markets
An empirical study of market microstructure across London, Comex, and Shanghai
We examine how liquidity regimes in gold spot markets shift across sessions, measuring bid-ask spreads, order flow toxicity, and price impact across London, Comex, and Shanghai Gold Exchange venues. Our findings suggest that regime-conditional execution substantially reduces slippage in systematic strategies.
March 18, 2026 · 18 min read
QUANTITATIVE METHODSWhy Execution Assumptions Distort Backtests
Quantifying the gap between simulated and realized fill quality
Most quantitative backtests assume instantaneous fills at mid-price. We measure the real-world gap between these assumptions and realized execution across equities, futures, and FX, finding that naive backtests overstate returns by 40–180 basis points annually for medium-frequency strategies.
February 24, 2026 · 14 min read
Regime-Sensitive Model Design for Macro Portfolios
We present a framework for designing systematic macro models that adapt to macroeconomic regimes. Using yield curve signals, credit spreads, and volatility surface dynamics, we classify environments into four regimes and demonstrate that regime-conditional positioning improves risk-adjusted returns.
January 30, 2026 · 22 min read
QUANTITATIVE METHODSSignal Decay and Research Hygiene in Quantitative Finance
Quantitative signals degrade over time as markets adapt and competition increases. We study the half-life of common signal families and propose a framework for research hygiene that includes systematic signal monitoring, decay detection, and graceful deprecation.
December 15, 2025 · 16 min read
What We Study
Systematic Macro
Rules-based strategy research across rates, FX, commodities, and equities, informed by macroeconomic regime classification.
Gold Market Structure
Empirical research into gold market microstructure, liquidity dynamics, and cross-venue price discovery across London, Comex, and Shanghai.
Quantitative Signal Design
Rigorous construction, statistical validation, and performance monitoring of systematic trading signals across multiple asset classes.
Market Microstructure
Analysis of order flow dynamics, price impact estimation, and execution quality measurement in institutional markets.
Regime Detection
Statistical methods for real-time identification of macroeconomic and market regimes, with applications to signal conditioning and risk sizing.
ML-Augmented Research
Principled integration of statistical learning and computational methods into quantitative research workflows, with emphasis on interpretability.
Markets are partially predictable. The edge belongs to those who measure precisely, model honestly, and execute without hesitation.
— Blackmark Dominion
Blackmark Dominion Research was founded on a single conviction: that systematic, evidence-based methods produce more reliable investment research than discretionary judgment alone. We apply rigorous statistical frameworks to the study of financial markets, with a particular focus on gold market microstructure, systematic macro, and neural signal design.
Our research infrastructure spans a 998-feature alpha framework, systematic signal validation pipelines, and a proprietary execution research layer — built from first principles. We do not publish for attention. We publish because transparency is discipline.
Blackmark Dominion is built for permanence. Institutional standards. Rigorous methodology. No shortcuts.
Blackmark Dominion Research Inc. · Richmond Hill, Ontario, Canada
From the Desk
Market Narratives Versus Empirical Evidence
Financial markets run on narratives, but investment decisions should run on evidence. We examine how narrative-driven positioning creates systematic mispricings and how disciplined research processes can exploit these gaps.
March 10, 2026
Research ProcessML-Augmented Research Workflows in Quantitative Finance
Statistical learning tools are reshaping the quantitative research cycle — literature synthesis, pattern detection, hypothesis generation. We discuss where these methods add genuine value and where they fall short.
February 18, 2026
Systematic MacroSystematic Macro Frameworks: First Principles
Building systematic macro strategies requires a clear framework for translating macroeconomic data into portfolio signals. We outline our first-principles approach covering signal construction, regime awareness, and risk management.
January 22, 2026
Serious inquiries only.
Research collaboration. Institutional inquiries. Press.
martin@blackmarkdominion.com