Veteran investment professional focused on quantitative equities and systematic strategies, with operating experience across hedge funds and growth-stage fintechs. Nicholas Munoz combines portfolio construction, risk modelling and capital raising expertise to support institutional mandates and family-office allocations. Market-facing skills include product strategy, client relations and execution in US and global markets.
Veteran investment professional focused on quantitative equities and systematic strategies, with operating experience across hedge funds and growth-stage fintechs. Nicholas Munoz combines portfolio construction, risk modelling and capital raising expertise to support institutional mandates and family-office allocations. Market-facing skills include product strategy, client relations and execution in US and global markets.
Applies a data-driven, quantitative equity approach that blends systematic factor models, rigorous risk modelling and portfolio construction to deliver scalable institutional outcomes. Emphasizes diversified, factor-aware allocations across US and global liquid equities, with medium-to-long horizons and tight drawdown control through explicit position sizing and volatility targeting. Capital deployment favors transparent, rules-based strategies that prioritize execution efficiency, liquidity management and repeatable alpha sources, while integrating product strategy and client-responsive governance for bespoke mandates and family-office solutions.
Applies a data-driven, quantitative equity approach that blends systematic factor models, rigorous risk modelling and portfolio construction to deliver scalable institutional outcomes. Emphasizes diversified, factor-aware allocations across US and global liquid equities, with medium-to-long horizons and tight drawdown control through explicit position sizing and volatility targeting. Capital deployment favors transparent, rules-based strategies that prioritize execution efficiency, liquidity management and repeatable alpha sources, while integrating product strategy and client-responsive governance for bespoke mandates and family-office solutions.
| Trades 128 | Longs Won 55/128 42% | Profit Factor 2.29 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $513,627.23 |
| Average Win $418,928.24 | Best Trade (Jul 10) $2.5M | Sharpe Ratio -16.07 |
| Average Loss -$137,858.28 | Worst Trade (Jul 10) -$1.65M | Z-Score -2.03 (99.41%) |
| Commissions $0 | Avg. Trade Length 11m 1w 4d | Expectancy $101,385.93 |
| 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 | 805 | 725 | 644 | 564 | 483 | 403 | 322 | 242 | 161 | 81 |