Seasoned investor and operator focused on technology and growth-stage companies, with experience across corporate development, private equity and venture investing. Jane King brings operational leadership in scaling product and go-to-market teams, portfolio construction expertise, and board-level oversight. Market-facing strengths include diligence, capital allocation and exit planning. Regular contributor to industry forums and advisor to early-stage founders.
Seasoned investor and operator focused on technology and growth-stage companies, with experience across corporate development, private equity and venture investing. Jane King brings operational leadership in scaling product and go-to-market teams, portfolio construction expertise, and board-level oversight. Market-facing strengths include diligence, capital allocation and exit planning. Regular contributor to industry forums and advisor to early-stage founders.
Operator-led, growth-oriented approach prioritizing technology businesses with scalable product and go-to-market engines. Seeks growth-stage companies where operational intervention can accelerate revenue and unit-economics improvement, deploying staged capital with clear follow-on reserves and board-level engagement. Underwrites opportunities through rigorous diligence on market positioning, customer retention and exit optionality, favoring repeatable distribution models and defensible technical moats. Time horizon tilts medium-to-long; risk managed via concentration limits, active governance, and exit-oriented value creation playbooks that align management incentives with liquidity pathways.
Operator-led, growth-oriented approach prioritizing technology businesses with scalable product and go-to-market engines. Seeks growth-stage companies where operational intervention can accelerate revenue and unit-economics improvement, deploying staged capital with clear follow-on reserves and board-level engagement. Underwrites opportunities through rigorous diligence on market positioning, customer retention and exit optionality, favoring repeatable distribution models and defensible technical moats. Time horizon tilts medium-to-long; risk managed via concentration limits, active governance, and exit-oriented value creation playbooks that align management incentives with liquidity pathways.
| Trades 2333 | Longs Won 1159/2333 49% | Profit Factor 3.96 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $626,903.96 |
| Average Win $106,547.8 | Best Trade (Jul 10) $20.56M | Sharpe Ratio -24.81 |
| Average Loss -$26,564.8 | Worst Trade (Mar 30) -$2.63M | Z-Score -6.42 (100%) |
| Commissions $0 | Avg. Trade Length 1y 7m 3w 6d | Expectancy $39,563.58 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | - | - | - | - | - | - | - | - | - | - |
| Consecutive Losing Trades | 12,658 | 11,392 | 10,127 | 8,861 | 7,595 | 6,329 | 5,063 | 3,797 | 2,532 | 1,266 |