Our Investment Strategies
Unifying mathematical research, software systems, and macroeconomic analysis to capture anomalies.
Quantitative & Systematic Arbitrage
Our quantitative models scan thousands of global liquid equities, futures, and currency pairs. By applying statistical anomaly detection and machine learning regressions, we identify micro-mispricings and execute high-frequency trades to capture risk-managed spreads.
Discretionary Global Macro
Aethelgard's global macro strategies combine statistical interest rate metrics with the deep policy expertise of our portfolio managers. We target capital gains across global fixed income curves, sovereign credit indices, and foreign exchange vectors during monetary regime shifts.
Fundamental Long/Short Equity
Focusing on specialized sectors including technology, industrials, healthcare, and consumer markets. Portfolio managers build granular bottom-up models, conducting channel checks and management interviews to identify discrepancies between stock pricing and structural business value.
Commodities & Energy Strategies
Our commodities desks integrate supply network models, physical transit data, and spatial satellite imagery to trade energy, agriculture, and base metals. We combine physical market intelligence with quantitative futures pricing metrics to optimize risk-adjusted exposure.
The Research & Execution Loop
Hypothesis & Data Ingestion
We ingest exabytes of data, processing structural micro-observations and alternative metrics to form testable models.
Simulation & Backtesting
Signals are backtested against 10+ years of liquidity profiles, transaction fees, and market volatility regimes.
Risk Constraint Evaluation
Models must conform to strict correlation bounds. Central risk filters prevent capital concentration in correlated asset classes.
Low-Latency Execution
Orders route dynamically through low-latency architectures, minimizing friction and capturing the target alpha.