Veteran growth investor and operating executive with experience across technology and financial services, Andrew J. Peters brings a blend of corporate leadership and venture investing to board and advisory roles. He has led product and strategy teams at scaleups and multinationals, focused on commercializing data and SaaS platforms, and participates in early-stage to late-stage equity rounds. His profile appeals to investors seeking operator-led capital allocation and commercial go-to-market expertise.
Veteran growth investor and operating executive with experience across technology and financial services, Andrew J. Peters brings a blend of corporate leadership and venture investing to board and advisory roles. He has led product and strategy teams at scaleups and multinationals, focused on commercializing data and SaaS platforms, and participates in early-stage to late-stage equity rounds. His profile appeals to investors seeking operator-led capital allocation and commercial go-to-market expertise.
Operator-focused growth investor concentrating on data and SaaS platforms, prioritizing commercialization and GTM excellence. Prefers stage-flexible equity stakes from early to late rounds where product-market fit and scalable unit economics are evident. Deploys capital with an active, KPI-driven playbook: board/advisory engagement, follow-on reserves, and commercialization resources. Time horizon is multi-year, growth-biased with disciplined risk controls via milestone-based tranches, revenue growth thresholds, and emphasis on capital efficiency and customer economics.
Operator-focused growth investor concentrating on data and SaaS platforms, prioritizing commercialization and GTM excellence. Prefers stage-flexible equity stakes from early to late rounds where product-market fit and scalable unit economics are evident. Deploys capital with an active, KPI-driven playbook: board/advisory engagement, follow-on reserves, and commercialization resources. Time horizon is multi-year, growth-biased with disciplined risk controls via milestone-based tranches, revenue growth thresholds, and emphasis on capital efficiency and customer economics.
| Trades 849 | Longs Won 651/849 76% | Profit Factor 69.05 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $2.14M |
| Average Win $219,007.33 | Best Trade (Jul 15) $61.22M | Sharpe Ratio -13.11 |
| Average Loss -$10,428.03 | Worst Trade (Jul 10) -$239,559.87 | Z-Score 20.83 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 1w 4d | Expectancy $165,499.43 |
| 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% | 0.07% | 3.32% |
| Consecutive Losing Trades | 43,478 | 39,130 | 34,783 | 30,435 | 26,087 | 21,739 | 17,391 | 13,043 | 8,696 | 4,348 |