Deploys quantitative strategies across global equity and macro markets using proprietary data science, statistical arbitrage and high-frequency signal generation. Vectors Research Management targets absolute returns with multi-strategy hedge funds and separately managed accounts, allocating capital to long/short equities, event-driven trades and systematic macro overlays. Clients include institutional allocators and family offices seeking diversified, model-driven exposure and risk-managed alpha extraction.
Deploys quantitative strategies across global equity and macro markets using proprietary data science, statistical arbitrage and high-frequency signal generation. Vectors Research Management targets absolute returns with multi-strategy hedge funds and separately managed accounts, allocating capital to long/short equities, event-driven trades and systematic macro overlays. Clients include institutional allocators and family offices seeking diversified, model-driven exposure and risk-managed alpha extraction.
Operates a quantitatively driven, multi-strategy hedge fund model emphasizing absolute return through statistical arbitrage, high‑frequency signals and systematic macro overlays. Capital deployment blends long/short equity, event‑driven and macro exposures with dynamic risk parity and volatility-targeting to preserve capital across cycles. Underwriting prioritizes signal validation, capacity-aware trades and low correlation sources; portfolio construction favors diversified, model-led bets over single-name concentration, positioning the firm as a turnkey, institutional-grade alpha generator.
Operates a quantitatively driven, multi-strategy hedge fund model emphasizing absolute return through statistical arbitrage, high‑frequency signals and systematic macro overlays. Capital deployment blends long/short equity, event‑driven and macro exposures with dynamic risk parity and volatility-targeting to preserve capital across cycles. Underwriting prioritizes signal validation, capacity-aware trades and low correlation sources; portfolio construction favors diversified, model-led bets over single-name concentration, positioning the firm as a turnkey, institutional-grade alpha generator.
| Trades 5838 | Longs Won 2930/5838 50% | Profit Factor 4.73 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $197,386.82 |
| Average Win $75,688.44 | Best Trade (Jul 17) $6.34M | Sharpe Ratio -59.56 |
| Average Loss -$16,112.35 | Worst Trade (Mar 31) -$1.13M | Z-Score -16.82 (100%) |
| Commissions $0 | Avg. Trade Length 1y 11m 2w 2d | Expectancy $29,961.02 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | 23,810 | 21,429 | 19,048 | 16,667 | 14,286 | 11,905 | 9,524 | 7,143 | 4,762 | 2,381 |