ALPHA, ENGINEERED.
Proprietary algorithmic execution systems delivering non-correlated alpha (+31.4% 5Y CAGR, 2.84 Sharpe Ratio) for accredited investors and family offices. Zero market exposure, quantitative precision.
CUMULATIVE YIELD & PERFORMANCE
Net cumulative return vs S&P 500 & Hedge Fund Weighted Index.
MONTHLY RETURNS HEATMAP (2020–2024)
Historical net return matrix queried from ARCUS ledger database.
| YEAR | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ANNUAL TOTAL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | +2.1% | +3.4% | +4.8% | +2.2% | +1.9% | +2.5% | +1.8% | +2.9% | +1.4% | +2.7% | +3.1% | +2.0% | +35.5% |
| 2021 | +2.8% | +1.9% | +2.4% | +3.0% | +2.1% | +1.7% | +2.9% | +2.3% | +1.8% | +3.2% | +2.5% | +2.2% | +32.9% |
| 2022 | +3.6% | +4.1% | +3.9% | +2.8% | +3.2% | +2.4% | +1.9% | +2.7% | +3.5% | +2.1% | +1.8% | +2.6% | +40.5% |
| 2023 | +2.4% | +1.8% | +2.9% | +2.1% | +2.5% | +3.1% | +2.0% | +1.6% | +2.8% | +2.4% | +3.0% | +2.7% | +33.6% |
| 2024 | +2.9% | +2.2% | +3.5% | +1.9% | +2.7% | +2.4% | +3.1% | +2.6% | +2.1% | +2.8% | +3.3% | +2.5% | +36.8% |
ALGORITHMIC STRATEGY ARCHITECTURE
Four non-correlated algorithmic execution models generating consistent, low-volatility returns across all macroeconomic regimes.
Statistical Arbitrage & Market Neutral Core
Sub-second pair correlation anomaly discovery across global equity & futures markets.
STRATEGY METHODOLOGY & SIGNAL EXTRACTION
Exploits transient pricing dislocations across thousands of cointegrated asset pairs. Utilizes ultra-low-latency statistical models to execute zero-net-exposure positions with strict risk limits.
EXECUTION PARAMETERS
- STRATEGY CAPACITY:$1.5B
- SP500 BETA CORRELATION:0.04 (Market Neutral)
- ORDER ROUTING:Sub-millisecond Direct Market Access
- RISK SYSTEM: Auto Tail-Stop
RISK METRICS & CONVEXITY PROFILE
Comparative institutional risk-adjusted ratios (2020–2024 Audited).
| QUANTITATIVE METRIC | ARCUS ALPHA | S&P 500 INDEX | HEDGE FUND COMPOSITE | ARCUS ADVANTAGE |
|---|---|---|---|---|
| Compounded Annual Growth Rate (CAGR) | 31.4% | 14.2% | 8.9% | +17.2% Alpha |
| Sharpe Ratio (Rf = 4.5%) | 2.84 | 0.92 | 0.74 | 3.0x Risk-Adjusted |
| Sortino Ratio (Downside Risk) | 4.12 | 1.15 | 0.91 | 3.5x Protection |
| Maximum Drawdown (Peak-to-Trough) | -3.8% | -24.5% | -16.2% | 84.5% Risk Reduction |
| Annualized Volatility (Std Dev) | 7.2% | 17.4% | 12.1% | Low Volatility Profile |
| Calmar Ratio (CAGR / Max DD) | 8.26 | 0.58 | 0.55 | 14.2x Calmar Score |
| Market Beta (S&P 500 Correlation) | 0.08 | 1.00 | 0.68 | Market Neutral |
| Annualized Alpha (Jensen's α) | +24.6% | 0.0% | +1.8% | Uncorrelated Return |
PIONEERING QUANTITATIVE MINDS
Built by former senior quantitative researchers and execution leads from D.E. Shaw, Renaissance Technologies, Citadel, and Two Sigma.
Dr. Marcus Vance
Chief Investment Officer & Co-Founder
Former Head of Statistical Arbitrage at D.E. Shaw & Co. PhD in Applied Mathematics & Quantum Information from MIT.
Dr. Elena Rostova
Chief Risk Officer & Co-Founder
Former Principal Quantitative Researcher at Renaissance Technologies. PhD in Financial Econometrics from Stanford University.
Julian Sterling
Head of High-Frequency Execution
Former Senior Managing Director at Citadel Securities. M.S. in Computer Science & Distributed Systems from Carnegie Mellon.
Dr. Rajiv Kapoor
Director of Machine Learning
Former Lead AI Scientist at Two Sigma. PhD in Statistical Machine Learning & Neural Networks from University of Oxford.
INSTITUTIONAL COUNTERPARTIES & GOVERNANCE
BNY Mellon
Institutional Custody & Clearing
Goldman Sachs
Prime Brokerage Services
KPMG LLP
Annual Independent Audit
Sidley Austin LLP
Investment Fund Legal Counsel