Seasoned operator-turned-investor active in growth-stage technology and software markets, Nicholas McElroy brings operating, fundraising and board-level experience to venture and private equity engagements. Focuses on scaling SaaS, fintech and digital marketplace businesses, advising management teams on go-to-market, product-market fit and capital strategy. Known for hands-on portfolio involvement, capital allocation discipline and bridging founders to institutional LPs and strategic acquirers.
Seasoned operator-turned-investor active in growth-stage technology and software markets, Nicholas McElroy brings operating, fundraising and board-level experience to venture and private equity engagements. Focuses on scaling SaaS, fintech and digital marketplace businesses, advising management teams on go-to-market, product-market fit and capital strategy. Known for hands-on portfolio involvement, capital allocation discipline and bridging founders to institutional LPs and strategic acquirers.
Operator-led growth investor who prioritizes scalable SaaS, fintech and digital marketplace opportunities, deploying capital at Series A–C with a bias toward value creation over short-term exits. Applies hands-on operating playbooks to accelerate go-to-market, product–market fit and unit economics while preserving disciplined portfolio construction and capital allocation. Seeks founder-aligned governance, measurable KPIs, and strategic paths to institutional follow-on funding or acquisition, leveraging board experience and LP/acquirer networks.
Operator-led growth investor who prioritizes scalable SaaS, fintech and digital marketplace opportunities, deploying capital at Series A–C with a bias toward value creation over short-term exits. Applies hands-on operating playbooks to accelerate go-to-market, product–market fit and unit economics while preserving disciplined portfolio construction and capital allocation. Seeks founder-aligned governance, measurable KPIs, and strategic paths to institutional follow-on funding or acquisition, leveraging board experience and LP/acquirer networks.
| Trades 1324 | Longs Won 896/1324 67% | Profit Factor 6.1 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.37M |
| Average Win $240,235.33 | Best Trade (Jul 10) $53.52M | Sharpe Ratio -2.8 |
| Average Loss -$82,495.42 | Worst Trade (Sep 30) -$3.66M | Z-Score 5.61 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3w 1d | Expectancy $135,908.47 |
| 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 | 11,111 | 10,000 | 8,889 | 7,778 | 6,667 | 5,556 | 4,444 | 3,333 | 2,222 | 1,111 |