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MARKET INTELLIGENCE

Updates & Commentary

What the model sees, what the regime is doing, and what it means for your portfolio.

REGIME UPDATE

June 22, 2026 — Laminar Flow Holding. What That Means for Your Portfolio.

June 22, 2026  ·  Chase Noel  ·  4 min read

The Navier Flow model is running in Momentum-Blend Active mode with a Reynolds number of 144 — deep in laminar territory. VIX at 16.4. Here's what the model is seeing and why the current regime favors the construction it's producing.

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When the model calculates a Reynolds number below ~500, it classifies the market as "laminar" — meaning the flow of capital is organized, directional, and relatively predictable. Above that threshold, turbulence dominates and the model shifts strategies.

At Re=144, we're firmly laminar. Combined with a VIX of 16.4 (below the historical anxiety threshold of ~20), the model enters what it calls Momentum-Blend Active mode: it gives additional weight to sustained price momentum signals while still requiring fundamental and dividend quality gates to pass.

What this means in practice

In Momentum-Blend Active, the model's rank boost amplifies the top-ranked stock in each portfolio by up to 1.3× its baseline score. This means the first few positions carry more conviction-weight than they would in neutral or turbulent regimes.

For aggressive profiles (RA1–RA3), the model is currently tilting into semiconductors and discretionary names with strong du/dt readings — the rate of change of velocity, our proxy for acceleration in price momentum. For conservative profiles (RA7–RA10), the regime shift is subtler: the dividend quality floor rises, and min-momentum filters tighten further.

What to watch

  • VIX creeping above 20 would signal a regime transition — the model would begin increasing turbulence penalties
  • Earnings season volatility could temporarily spike Re — we're watching July reporting closely
  • The current narrow-score reading of 13.9 is benign; above 18 historically precedes choppy rotations

Bottom line: stay positioned, don't chase. The model's current output is conviction-weighted and regime-appropriate. If the regime shifts, we'll update here first.

MODEL EXPLAINER

Why We Use Physics to Score Stocks

June 15, 2026  ·  Chase Noel  ·  6 min read

The Navier-Stokes equations describe how fluids move. We adapted them to describe how stock momentum moves. This is not a metaphor — it's a mathematical framework that produces real, testable signals.

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Most stock-scoring systems use some combination of price/earnings ratios, revenue growth, and analyst ratings. These are reasonable inputs. But they share a problem: they describe what a stock is, not what it's doing.

We wanted something that described motion. Direction. Acceleration. The rate at which conditions are changing — not just their current state.

The velocity analogy

In fluid dynamics, velocity describes how fast a fluid particle is moving and in which direction. In our model, we define a stock's "velocity" (Vel) as a normalized measure of its trailing momentum relative to expected volatility. A stock moving steadily upward with low volatility has high, clean velocity — like laminar flow in a pipe.

Turbulence as a penalty

Turbulence in fluids represents chaotic, energy-dissipating motion — the opposite of efficient flow. In our model, turbulence (Turb) captures erratic price behavior: high short-term volatility, reversals, and unpredictable gaps. Turbulent stocks get penalized in the final score, and at higher Reynolds numbers, that penalty grows.

du/dt — the signal we're most proud of

du/dt is the time-derivative of velocity — acceleration. A stock with a positive and rising du/dt is accelerating upward. This is the signal the model uses to identify stocks early in a new move, before the broader market catches on. It's the hardest signal to fake and the most predictive in backtesting.

The result is a score that combines where a stock is going, how smoothly it's getting there, and how fast it's accelerating — all in a single number. That's what you see in the portfolio output.

PORTFOLIO CONSTRUCTION

Understanding the Growth Sleeve

June 8, 2026  ·  Chase Noel  ·  3 min read

The growth sleeve is 15% of your portfolio allocated to higher-conviction, higher-risk candidates with hard stop-losses. Here's the philosophy behind it and how we size positions within it.

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Every Navier portfolio has a core — a risk-calibrated set of positions sized to your RA level. The growth sleeve sits alongside the core and serves a different purpose: it's where we take smaller, higher-conviction bets on names that scored well but carry more idiosyncratic risk than the core allows.

Why a fixed 15%?

The sleeve is sized so that even if every position hits its stop-loss and exits at a 25–30% loss, the damage to the overall portfolio is roughly 3–4%. That's uncomfortable but survivable. It's designed to be.

The five current sleeve candidates

The model runs a discovery process to identify sleeve candidates: stocks that passed most core filters but were excluded due to market cap, sector concentration, or volatility constraints. The current cohort — SLP, LNN, ABM, LQDT, APOG — all qualified on momentum and fundamental grounds but are smaller-cap names that belong in the sleeve, not the core.

Hard stops are not optional

Every sleeve position has a hard stop-loss entered at the time of purchase. Not a mental note — an actual order. The sleeve is expected to have losses. The discipline is in taking them quickly when they come, so the winners have room to run.