Investing built on a forecast starts from a view — of where rates, or earnings, or the economy are headed — and positions a portfolio to be right about it. We think that’s backwards. The future of a complex market resists prediction, and a portfolio built on a prediction inherits the unreliability of the prediction.
So we don’t build on forecasts. We build on process. Via Luce approaches portfolio construction with a rules-based, regime-aware, evidence-driven method — one intended to respond to what markets are actually doing rather than to a guess about what they’ll do next. The goal isn’t to be clairvoyant. It’s to behave consistently across market cycles, to keep emotion and ad-hoc judgment out of the moment of decision, and to keep your capital positioned according to a plan instead of according to the latest headline. That discipline is the through-line of everything below.
Process over prediction
Forecasts arrive with confidence and precision, and they move enormous amounts of money. But there’s no scorekeeper, the misses tend to cluster at the turning points that matter most, and markets already reflect what’s widely expected — so a forecast only pays off if it’s both different from consensus and correct. Building a portfolio on that foundation doesn’t just risk being wrong; it tends to push investors into the worst behavior at the worst time, abandoning positions after losses and chasing recoveries after they’ve happened.
A process asks a different question. Not “what will happen next?” but “what is happening now, and what does the weight of the evidence say to do about it?” That shift — from forecasting the future to reading the present — is the foundation of how we invest.
What “rules-based” actually means
Rules-based doesn’t mean rigid, and it doesn’t mean a portfolio that never changes. It means the decisions are defined in advance: how the portfolio responds to changing conditions is established before the moment arrives, rather than improvised under pressure.
That matters because the moment of decision — a sharp drawdown, a euphoric run-up — is exactly when discretion and emotion do the most damage. The same headline that might cause a discretionary manager to second-guess a plan is, to a defined process, simply another input to weigh against its rules. A rules-based approach aims to act the same way in calm markets and chaotic ones. When the underlying data changes, the positioning seeks to adapt; when it doesn’t, the process holds. The discipline is the point.
Judgment hasn’t disappeared here — it has moved. It goes into which signals belong in the framework, how they’re weighted, and what the rules say, all decided deliberately and documented in advance. What’s removed is improvisation at the moment of maximum stress.
Many signals, not one bet
A single view — one analyst’s call, one indicator, one theme — is a single point of failure. If it’s wrong, the whole portfolio is wrong, and there’s no framework for what to do next.
Our process rests instead on multiple, largely uncorrelated families of evidence: trend and momentum, economic-growth factors, yield-curve dynamics, valuation and mean-reversion, volatility structure, machine-learning-based macro signals, and cross-asset ranking. Each looks at the market through a different lens. Because they don’t all move together, no single signal carries the portfolio, and a weak read from one can be offset by a strong read from others. The aim is a more stable, multi-dimensional picture of conditions than any one indicator could provide — and positioning that seeks to adapt as the weight of that combined evidence shifts.
Machine learning has a specific, bounded role here: processing large amounts of data and detecting patterns at a scale humans can’t. It’s a tool for handling signals, not a crystal ball, and it’s held to the same evidence-based standard as everything else in the process. The discipline doesn’t change because part of it is automated.
Fitted to the mandate
The same disciplined engine can be configured across the full risk spectrum — from capital-preservation mandates to growth-oriented ones, at essentially any equity target. The process doesn’t force every client into the same portfolio. It adapts the level of risk to the mandate and the plan while keeping the decision-making discipline identical underneath.
In practice this takes the form of three configurable frameworks — Alpha, Guardian, and Ascend — each expressing the same underlying discipline with a different emphasis, and each implementable at any equity target from zero to fully invested. Which framework applies, and at what risk level, follows from the mandate and the plan rather than from a house view about markets. The point of having more than one is not variety for its own sake; it is that a capital-preservation mandate and a long-horizon growth mandate genuinely warrant different structures, and forcing both through a single model serves neither well.
A retiree drawing income and a business owner with a fifteen-year horizon have very different objectives, and their portfolios should look different. What shouldn’t differ is the rigor applied to each. The framework lets us calibrate risk to the person while holding the quality of the process constant.
How risk is actually handled
Risk in a portfolio is not one thing, and treating it as a single dial is where a lot of trouble starts. There is the risk of a permanent loss of capital, which matters enormously. There is volatility, which is uncomfortable but survivable for an investor who doesn’t need the money soon — and genuinely damaging for one who does. There is the risk of being too conservative for too long, which is invisible in any single year and substantial over decades. And there is concentration risk, which is frequently the largest exposure in the portfolios we’re asked to review.
A defined process handles these differently than an improvised one. Because the response to changing conditions is established in advance, exposure can be adjusted according to the framework rather than according to how a difficult quarter feels. That doesn’t prevent losses — nothing does — but it aims to make the portfolio’s behavior in a drawdown something you were told about beforehand rather than something you discover.
It’s worth being plain about the limits. A rules-based process can be wrong. Signals can conflict, conditions can change faster than any framework reads them, and a disciplined approach can trail a lucky guess for a long stretch. What the process offers is not immunity from those outcomes. It’s consistency, a record of why each decision was made, and the removal of a category of mistake — the improvised, emotional, ad-hoc one — that tends to be the most expensive.
Tax-aware by design
A return you can’t keep isn’t really a return. Portfolios are constructed and monitored not only within defined risk parameters but with after-tax outcomes in mind — considering which types of assets are held in which accounts, how gains and losses are handled over time, and how the portfolio interacts with the rest of your plan and your CPA’s work.
Investment decisions don’t happen in a vacuum. A change that looks smart in isolation can be expensive once taxes are accounted for, and a portfolio coordinated with your tax picture can potentially improve what you actually keep. That coordination is part of how the process runs, not something bolted on at year-end.
Where digital assets fit
We’re crypto-aware, not crypto-driven. Digital assets are evaluated the same way as any other exposure — through a risk-managed framework, sized to a defined role within a diversified portfolio, and only where they fit a client’s objectives and risk tolerance.
That’s a deliberate alternative to allocation driven by trend, headlines, or speculation. For many clients the considered answer is a small role or none at all. The point isn’t whether the number is large or zero; it’s that it’s a decision reached through the same evidence-based discipline as everything else, rather than enthusiasm.
Institutional rigor, in plain language
Institutional investors expect a documented, defensible process and clear accountability for how their capital is positioned. Individual families and business owners deserve the same — without the jargon.
We pair institutional-level discipline with plain-language communication, so you always understand how decisions are made and how your money is positioned. A process you can’t explain to the person whose money it is isn’t really a process; it’s a black box. Transparency is part of the approach here, not a courtesy.
How this connects to your plan
The investment process doesn’t sit at the center of your financial life. Your plan does. Planning sets the destination — the retirement income you’ll need, the business transition you’re preparing for, the legacy you want to leave. The investment process is how the portfolio pursues it, governed by the plan’s objectives, risk tolerance, and time horizon.
Done well, the process becomes one quiet component of a larger whole rather than the source of constant worry. Markets will always be uncertain, and a disciplined, evidence-based process can’t remove that uncertainty — nothing can, and all investing carries risk, including the possible loss of principal. What a process can do is replace guesswork with a repeatable method, and keep your portfolio behaving like a plan instead of a reaction.
