ΣCompass + PAV = Seeking Quality Growth
We apply ΣCompass, which begins with 2–10 year projections for each sector’s technological evolution and trajectory — integrating macro and geopolitical perspectives to anticipate structural change and how it will reshape industries.
Special Themes
AI value chain shifts
democratization of finance
SysMoore
global e-commerce
Day1ness
Through ΣCompass, we selectively identify sectors, technologies, and companies best positioned to lead the next paradigm shift and create outsized value.
Within those, we invest where product, architecture, and vision align — targeting small and mid-cap innovators with multi-year value creation and capture potential via TAM expansion, strong GTM execution, defensible moats, and the capacity to compound rapidly as new technological eras emerge.
In essence, we apply a venture-capital mindset to public equities — evaluating listed companies through the same lens a VC would use for early-stage startups. We seek the enduring traits that make a business not just successful, but continuously exceptional:
Founder-led leadership
Day1ness
Product excellence
Profound architectural leap
6 Sigma vision
Best-in-class GTM execution
We focus on outlier, unconventional, but exceptionally intelligent management teams that reinvent how products, architectures, and visions are built — qualities often under-appreciated in public markets until much later in the company’s lifecycle.
Quantifying MSU for Optimum Risk-Reward
There are no bad assets — only bad prices. At times, even the highest-quality companies become so widely celebrated that their risk-reward profile turns unappealing. Our MSU framework helps us size positions accordingly, guiding us toward companies whose market perception still leaves room for meaningful upside.
Risk Model
Besides our own judgements to evaluate the company qualitatively, we also quantify conviction using a proprietary optimizer that ranks each stock by its expected risk-adjusted return.
- Return: derived from our DCF forecasts vs. market implied parameters
- Risk: measured through implied volatility in options markets
We then rank by theoretical weight to isolate the highest return per unit of risk — avoiding exposure to volatility without upside.
This process is complemented by our Rule of X, which re-weights growth more heavily than margin to favor sustainable compounding.
To mitigate prolonged drawdowns during risk-off periods for growth tech, we employ additional layers of risk control:
Value Tech: Profitable, low-vol tech with growth inflections for stability.
Reverse VC Strategy: Up to 10% tactical long-vol positions via puts for hedging overexuberance.
ALL PATH Risk Management
High-growth companies are naturally more volatile — that volatility is the price of innovation. Rather than avoid it, we manage it responsibly through our ALL PATH risk framework, which applies ergodic principles to protect compounding returns.
Markets are non-ergodic: losses compound multiplicatively, so the path of returns matters as much as the average. Our approach seeks to convert volatility into sustainable growth rather than ruinous swings.
1. Diversified Tech Paths
Diversify across full AI value chain for low correlations and resilient returns.
2. Managed High-Variance Exposure
Invest in high-variance with strong fundamentals and asymmetric upside.
3. Mean Reversion Discipline
Apply mean-reversion to price/valuation; take profits and add on sell-offs.
4. Dynamic Exposure Management
Adjust sizing by exposure, MSU, expectations for balanced participation.