Operating as an investor and operator with a focus on technology-driven business models, Chad Whiteley is known for early-stage investing, board-level operational oversight and go-to-market scaling of SaaS and fintech companies. The profile emphasizes capital allocation, strategic partnerships and revenue growth initiatives; experience spans fundraising, M&A advisory and interim executive roles. Market relevance centers on startup diligence, growth-stage governance and aligning product-led GTM with measurable KPIs for investors.
Operating as an investor and operator with a focus on technology-driven business models, Chad Whiteley is known for early-stage investing, board-level operational oversight and go-to-market scaling of SaaS and fintech companies. The profile emphasizes capital allocation, strategic partnerships and revenue growth initiatives; experience spans fundraising, M&A advisory and interim executive roles. Market relevance centers on startup diligence, growth-stage governance and aligning product-led GTM with measurable KPIs for investors.
Operator-investor approach prioritizing early and growth-stage technology companies, with emphasis on SaaS and fintech models. Capital deployment favors founder-led teams with product-market fit and measurable unit economics; underwriting focuses on GTM scalability, CAC/LTV dynamics and recurring revenue predictability. Active board involvement and interim executive support accelerate commercialization and fundraising outcomes. Portfolio decisions balance capital efficiency with follow-on reserves, a 3–7 year growth horizon, and strict metric-driven risk controls to de-risk scaling and exit timing.
Operator-investor approach prioritizing early and growth-stage technology companies, with emphasis on SaaS and fintech models. Capital deployment favors founder-led teams with product-market fit and measurable unit economics; underwriting focuses on GTM scalability, CAC/LTV dynamics and recurring revenue predictability. Active board involvement and interim executive support accelerate commercialization and fundraising outcomes. Portfolio decisions balance capital efficiency with follow-on reserves, a 3–7 year growth horizon, and strict metric-driven risk controls to de-risk scaling and exit timing.
| Trades 1518 | Longs Won 897/1518 59% | Profit Factor 7.87 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.49M |
| Average Win $480,000.49 | Best Trade (Jun 14) $28.24M | Sharpe Ratio -11.99 |
| Average Loss -$88,109.03 | Worst Trade (Jun 14) -$5.68M | Z-Score -1.46 (85.87%) |
| Commissions $0 | Avg. Trade Length 9m 3w 6d | Expectancy $248,027.69 |
| 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 | 9,615 | 8,654 | 7,692 | 6,731 | 5,769 | 4,808 | 3,846 | 2,885 | 1,923 | 962 |