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:
56.65%
Gain +1.09%
Monthly
2.23%
Yearly
30.3%
Drawdown
31.65%
$836.41M
Equity
Holdings
$836.41M
Investment
$560.19M
$290.86M
Profit +$7.92M
Realized
$14.64M
Unrealized
$276.22M
Dividends
$2.52M
Goals
Avg. 100% completed goals
Yearly
Gain > 5% 2026
Yearly
Gain < 20% 2026
Today
Compared To Yesterday
Gain
1.09%
Profit
$7.92M
Win %
63%
This Week
Compared To Last Week
Gain
-2.41%
Profit
-$20.64M
Win %
63%
This Month
Compared to last month
Gain
0.72%
Profit
$6M
Win %
63%
This Year
Compared to last year
Gain
5.58%
Profit
$44.18M
Win %
69%
Events
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Dividends
Dividend Analysis
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| Trades 15 | Longs Won 9/15 60% | Profit Factor 16.6 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $46.87M |
| Average Win $34.39M | Best Trade (Sep 03) $202.34M | Sharpe Ratio -10.51 |
| Average Loss -$3.11M | Worst Trade (Sep 02) -$9.18M | Z-Score 1.29 (80.23%) |
| Commissions $0 | Avg. Trade Length 10m 3w 1d | Expectancy $19.39M |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | 0.07% | 0.6% | 4.07% | 22.06% |
| Consecutive Losing Trades | 269 | 242 | 215 | 188 | 162 | 135 | 108 | 81 | 54 | 27 |
Hover over the desired column for a detailed explanation.
Returns
Overall, Monthly| Symbol | Quantity | Cost | Value | Comm. | Profit ($) | Gain (%) | Change |
|---|---|---|---|---|---|---|---|
 AAPL Apple Inc. | 600,000 | $150.25M | $189.79M | - | $39.54M | 26.32% | -1.139% |
 GOOG Alphabet Inc | 3,375 | $1.06M | $1.13M | - | $70,571.25 | 6.66% | -0.179% |
 GOOGL Alphabet Inc | 372,830 | $63.68M | $125.99M | - | $62.31M | 97.85% | -0.155% |
 MU Micron Technology, Inc. | 24,793 | $28.62M | $25.27M | - | -$3.35M | -11.69% | +0.273% |
 NVDA NVIDIA Corporation | 2.12M | $284.92M | $478.46M | - | $193.54M | 67.93% | -1.962% |
 SNDK SanDisk Corporation | 12,517 | $28.46M | $22.49M | - | -$5.97M | -20.99% | +3.249% |
 SPCX Space Exploration Technologies Corp. Class A | 18,700 | $3.2M | $2.86M | - | -$334,543 | -10.47% | +3.393% |
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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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FAQ
Which stocks have generated the highest profits for Andrew McCallum?
The largest contributions to the portfolio's profits come from the following stocks: NVIDIA Corporation - $17.12M, Alphabet Inc - $497,193.8, Micron Technology, Inc - $3,718.95, and Alphabet Inc - $2,193.75. These positions have been the main drivers of growth and have significantly impacted the investor's overall performance.
Which stocks have generated the largest losses for this investor?
The largest losses in the portfolio are associated with the following stocks: Apple Inc - $460,000. These positions have had the most negative impact on overall performance and highlight the weaker areas of the portfolio.
What dividends does Andrew McCallum's portfolio generate?
The portfolio generates substantial dividend income, with a total of $2.52M earned over time. The largest contributors to dividend income include Apple Inc - $1.3M, NVIDIA Corporation - $710,276, Alphabet Inc - $497,193.8, Micron Technology, Inc - $3,718.95, and Alphabet Inc - $2,193.75. This indicates that dividends play a meaningful role in the investor's overall strategy.
How stable are Andrew McCallum's monthly returns?
Andrew McCallum's monthly returns look highly volatile. The portfolio shows large month-to-month swings, and the broader risk profile suggests that performance can change sharply over short periods. This kind of pattern may suit users who are comfortable with significant fluctuations, but it is less likely to appeal to those who prefer steadier and more predictable results.
Can Andrew McCallum's strategy be considered aggressive or moderate?
Andrew McCallum's strategy can be considered aggressive. The combination of high drawdowns, elevated volatility, and/or concentrated positions suggests a willingness to accept significant risk in pursuit of higher long-term returns. This approach is generally more suitable for users who are comfortable with large fluctuations in portfolio value.
Should beginners follow Andrew McCallum's strategy?
Andrew McCallum's strategy is probably not ideal for beginners. The combination of risk, volatility, or portfolio complexity may make it harder to follow and understand without prior experience. Users who are new to investing may find it challenging to replicate or tolerate the performance swings.
