Experienced growth investor and operator focused on enterprise software, cloud infrastructure and AI-driven platforms. Ian Wang brings operating experience from founding and scaling technology ventures and has led growth equity and venture investments across Series A–D, taking multiple board observer and director roles. He evaluates capital-efficient business models, ARR expansion, unit economics and go-to-market scale. Market-facing profile emphasizes active portfolio support, M&A readiness and cross-border sourcing in major tech hubs.
Experienced growth investor and operator focused on enterprise software, cloud infrastructure and AI-driven platforms. Ian Wang brings operating experience from founding and scaling technology ventures and has led growth equity and venture investments across Series A–D, taking multiple board observer and director roles. He evaluates capital-efficient business models, ARR expansion, unit economics and go-to-market scale. Market-facing profile emphasizes active portfolio support, M&A readiness and cross-border sourcing in major tech hubs.
Focuses on growth-stage enterprise software, cloud infrastructure and AI platforms, favoring capital-efficient models with clear ARR expansion and strong unit economics. Prefers Series A–D opportunities where go-to-market scale and repeatable sales motions drive valuation uplifts. Allocates capital with an outcomes-oriented time horizon that balances aggressive scaling and M&A optionality, using active board engagement and operator playbooks to de-risk execution. Emphasizes cross-border sourcing in major tech hubs, diligence on channel and partner strategies, and disciplined follow-on reserves to protect ownership in high-conviction winners.
Focuses on growth-stage enterprise software, cloud infrastructure and AI platforms, favoring capital-efficient models with clear ARR expansion and strong unit economics. Prefers Series A–D opportunities where go-to-market scale and repeatable sales motions drive valuation uplifts. Allocates capital with an outcomes-oriented time horizon that balances aggressive scaling and M&A optionality, using active board engagement and operator playbooks to de-risk execution. Emphasizes cross-border sourcing in major tech hubs, diligence on channel and partner strategies, and disciplined follow-on reserves to protect ownership in high-conviction winners.
| Trades 3643 | Longs Won 2047/3643 56% | Profit Factor 5.38 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.36M |
| Average Win $280,880.99 | Best Trade (Jul 22) $57.71M | Sharpe Ratio -0.75 |
| Average Loss -$66,914.84 | Worst Trade (Jul 24) -$5.28M | Z-Score 5.58 (100%) |
| Commissions $0 | Avg. Trade Length 1y 1m 3w 3d | Expectancy $128,511.48 |
| 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 | 25,000 | 22,500 | 20,000 | 17,500 | 15,000 | 12,500 | 10,000 | 7,500 | 5,000 | 2,500 |