How We Invest
Quantitative, Systematic Investing
Most of our liquid strategies are quantitative and systematic: tested, rules-based models decide what to own and when to adjust, rather than a single manager's intuition or an opaque AI model. The goal is discipline, removing emotion and guesswork from day-to-day decisions, not a promise of higher returns.
The Old Choice, and a Third Way
For decades, investors were offered two options. Pay a premium for a star manager whose edge is personal judgment, or buy a low-cost index fund that simply rides the market up and down. Both have real uses. Both also leave something on the table. Most of our liquid strategies use a third approach: a defined, tested, rules-based process applied to very traditional securities.
Three Ways to Run Money
Broadly, money can be managed in one of three ways. The differences matter more than they first appear.
One Person's Judgment
A person, or a team, manually processing enormous amounts of information. They can be brilliant, but they are limited by bandwidth and fatigue, and their decisions move with mood, conviction, and the news cycle. The whole approach can rise or fall with one key person.
An Opaque AI Black Box
Handing decisions to an AI model can sound modern, but you cannot see its rules, cannot test them, and cannot know why it did what it did. An unaccountable model can drift over time, and it still carries the biases baked into how it was built.
A Quantitative, Systematic Process
A defined, tested set of rules decides what to own and when to adjust. The logic is explicit, repeatable, and free of in-the-moment emotion. It does not depend on one forecaster having a good year, and you can examine how it works.
We build around the third.
What “Quantitative and Systematic” Actually Means
- Quantitative. Decisions are driven by data and defined rules, not gut feel or the day's headlines.
- Systematic. The same disciplined process runs every time, in calm markets and chaotic ones alike.
- Dynamic. Dynamic asset allocation is an active investment strategy that regularly adjusts the mix of assets in a portfolio based on market conditions, economic trends, and performance.
Said differently: traditional liquid securities (stocks, ETFs, et cetera) owned and managed in a decidedly non-traditional way.
Why We Trust the Process, Not a Forecaster
The hardest part of investing is not picking securities. It is human behavior: selling in fear near the bottom, buying in greed near the top. Because the strategies follow a defined process rather than a single person's gut, they aim to take ego, emotion, and guesswork out of the day-to-day decisions. The discipline lives in the process, not in any one person's track record, which also means the approach does not rise or fall with any single chief investment officer. No process removes risk, and results vary, but a sound one can remove a great deal of the self-inflicted kind.
Where AI Fits, and Where It Does Not
To be clear: we do not use artificial intelligence to make investment decisions, and our systematic strategies are not AI. They are defined, tested, rules-based models whose logic is written and owned by our team, not a learning system left to decide on its own.
Where AI does earn a place is in research, not decisions. It can help us parse large volumes of data when we run due diligence on a company or examine macroeconomic trends, much like a very fast calculator. But the intellectual core of our process, what to own, when to adjust, and why, is never outsourced to an AI. The difference between our approach and an opaque AI bot is accountability: our rules are defined in advance, can be examined and tested, and do not improvise under pressure.
Common Questions
Is this just AI managing my money?
No. We do not use artificial intelligence to make investment decisions. Our strategies are rules-based and systematic, defined and tested in advance by our team. AI may help us parse large volumes of data during research and due diligence, but it never decides what to own or when to adjust; the discipline lives in a process you can examine.
Why don't more firms invest this way?
Two honest reasons, and neither is that it does not work. First, it takes a specific skill set: building, testing, and maintaining systematic models is different work from traditional stock-picking, and not every firm has that background. Second, it is human nature. Many advisors spent years, and a great deal of money, earning degrees and credentials so they could personally pick the winners. Handing that decision to a defined, rules-based process can feel like giving up the very role they trained for. We would rather let discipline lead than protect an ego, but we understand why that is a hard thing for many to let go of.
How is this different from a traditional active manager?
A traditional manager relies on individual judgment, which is limited by bandwidth and vulnerable to emotion, and the approach can depend heavily on one person. A systematic process applies the same tested rules every time and does not rise or fall with a single forecaster.
Can a rules-based strategy adapt to changing markets?
Yes. Through dynamic asset allocation, the models are designed to lean toward defense when conditions deteriorate and toward growth when they improve. No approach removes risk, and results vary.
Does a quantitative approach guarantee better returns?
No. Nothing in investing is guaranteed, and past performance does not guarantee future results. The aim is discipline, risk awareness, and the removal of avoidable, emotion-driven mistakes.
See the Process Up Close
If you would rather your traditional investments be managed by a defined, tested process than by a gut feeling or a black box, let us walk you through exactly how it would work for your portfolio. We do not believe in pressure or hard pitches. We believe in the right relationship with the right people at the right time.
Schedule a ConversationWhitwell & Co. is an SEC-registered investment adviser. This page is provided for educational purposes and is not investment, tax, or legal advice. All investing involves risk, including the possible loss of principal. Past performance does not guarantee future results. No investment process can eliminate risk or guarantee a profit.