Andrew McCallum Portfolio
Invests via Golden Unicorn (BVI) Ltd. | Managed by Andrew McCallum
Invests via Golden Unicorn (BVI) Ltd.
Managed by Andrew McCallum
Automatically Tracked
Seasoned AI and enterprise-software executive and researcher with a blend of technical and commercial leadership, known for founding and scaling ML-driven companies and advising growth-stage startups. Andrew McCallum has led product, research and go-to-market teams, with a background in computer science and PhD-level machine-learning expertise. Relevant to investors, profile signals deep domain expertise in AI, data platforms and enterprise SaaS, plus board/advisor roles and capital-raising experience.
Seasoned AI and enterprise-software executive and researcher with a blend of technical and commercial leadership, known for founding and scaling ML-driven companies and advising growth-stage startups. Andrew McCallum has led product, research and go-to-market teams, with a background in computer science and PhD-level machine-learning expertise. Relevant to investors, profile signals deep domain expertise in AI, data platforms and enterprise SaaS, plus board/advisor roles and capital-raising experience.
Investment Philosophy & Strategy
Combines technical rigor with commercial pragmatism, prioritizing AI-native enterprise platforms that pair defensible data moats with clear revenue paths. Investment style favors concentrated, stage-agnostic bets in machine-learning infrastructure, verticalized AI applications, and data-centric SaaS where product-led growth and enterprise sales intersect. Capital allocation emphasizes founder alignment, measurable model improvements, and iterative go-to-market traction; horizon is multi-year, risk-managed through operational diligence, technical due diligence, and an edge in product/research evaluation.
Combines technical rigor with commercial pragmatism, prioritizing AI-native enterprise platforms that pair defensible data moats with clear revenue paths. Investment style favors concentrated, stage-agnostic bets in machine-learning infrastructure, verticalized AI applications, and data-centric SaaS where product-led growth and enterprise sales intersect. Capital allocation emphasizes founder alignment, measurable model improvements, and iterative go-to-market traction; horizon is multi-year, risk-managed through operational diligence, technical due diligence, and an edge in product/research evaluation.
Disclaimer: This Portfolio is derived from and computed based on publicly available data from SEC filings.
Gain and growth charts are calculated per selected timeframe:
41.98%
Gain -2.28%
Monthly
2.07%
Yearly
27.96%
Drawdown
36.83%
$858.88M
Equity
Holdings
$858.88M
Investment
$556.21M
$296.97M
Profit -$23.3M
Realized
-$5.7M
Unrealized
$302.67M
Dividends
$1.6M
Goals
Avg. 0% completed goals
Today
Compared To Yesterday
Gain
-2.28%
Profit
-$23.3M
Win %
100%
This Week
Compared To Last Week
Gain
-0.03%
Profit
-$273,240.75
Win %
100%
This Month
Compared to last month
Gain
-0.03%
Profit
-$273,240.75
Win %
100%
This Year
Compared to last year
Gain
9.57%
Profit
$79.01M
Win %
100%
Events
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Dividends
Dividend Analysis
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| Trades 9 | Longs Won 7/9 77% | Profit Factor 53.1 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $62.73M |
| Average Win $43.24M | Best Trade (Jun 02) $225.3M | Sharpe Ratio -13.8 |
| Average Loss -$2.85M | Worst Trade (Mar 31) -$5.66M | Z-Score 4.84 (100%) |
| Commissions $0 | Avg. Trade Length 10m 2d | Expectancy $33M |
| 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% | 0.08% | 0.71% | 4.53% | 23.19% |
| Consecutive Losing Trades | 301 | 271 | 241 | 211 | 181 | 151 | 121 | 90 | 60 | 30 |
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Returns
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Option values are updated at end of day.
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Option values are updated at end of day.
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