The method needs a working form.
We build the workspace ourselves so market structure, an observation, and the state of a strategy remain connected as conditions change.
Inside the technologyRTHMN / Independent investment firm
RTHMN is an independent investment firm developing quantitative strategies. We take inspiration from patterns in nature and the mathematics of scale and change, then ask what those ideas can actually explain in markets. Our own software gives us a way to test the answers.
Follow our thinkingOur starting point
Most charts decide what movement looks like by dividing it into equal units of time. We also measure the distance price travels. A short reversal can happen inside a larger rise, and both can be true at once. Our range model keeps that relationship visible.
The purpose of the work
We are interested in ideas that can be described clearly, carried through time, and challenged when the market changes. That is why we build our research tools and strategies together. The same question should still make sense when the outcome is no longer hidden from us.
Inside our workWe are drawn to the way simple rules can produce intricate forms. Markets are more complicated than any tidy natural analogy, but their movement also unfolds through local changes that accumulate into a larger structure. We begin by following that sequence, because its order changes what a person can know.
We want to keep each small move connected to the wider form it belongs to, without pretending that the whole form was visible from the beginning.
The unit of movement
A fixed range completes when price travels a defined distance. Time can pass without forcing a new shape. Related ranges give short and broad movement the same underlying rule.
A small range may turn while a larger one holds its direction. We keep both states in view rather than forcing them into a single verdict about the market.
Where the scales disagree, the question becomes sharper: is this a local interruption or the beginning of a wider change?
A compelling shape in one completed chart is a starting point. We define the relationship precisely enough to find it again, including the conditions under which it disappears.
What repeats, what breaks, and what was only an attractive first impression become separate parts of the same study.
Our market views, pattern work, replay, and monitoring use the same range definitions. An idea should mean the same thing when we study it, watch it develop, and consider acting on it.
We build the workspace ourselves so market structure, an observation, and the state of a strategy remain connected as conditions change.
Inside the technologyThe same range rule lets us examine forex and digital assets without changing what a completed movement means. The markets remain distinct; the unit stays legible.
Looking back at a market is deceptively easy. Once the whole chart is visible, every turn seems as though it should have been obvious. At the time, of course, the next turn had not happened yet. Our replay environment lets recorded market data arrive in its original order, so the model has to work with only what was available then.
When an idea depends on information that had not arrived, we want to find that out in research, before capital is exposed. The gap between a convincing explanation and a decision we could actually have made is where some of our most important work begins.
Monitoring follows selected conditions rather than treating every movement as an event. A match brings us back to the context; it does not settle the decision.
When the model's state separates from what we expected, the first divergence matters more than a polished summary of the run.
We pause there to ask what the system knew, what it assumed, and which part of our explanation has to change.
We study ideas across changing conditions, including the periods when a relationship stops working. A smooth ending that hides those periods is not a useful account of the risk.
Our tests include trading costs and risk limits. Those constraints are part of what an idea means in practice, not details to add afterward.
Research produces more possibilities than we should ever act on. Some observations need further study; others are worth monitoring without becoming a position. We develop strategies from the smaller set that remains useful after testing and review.
When the evidence is inconclusive, waiting is an active part of our process. We want a reason to take risk, a reason to stop, and the freedom to do neither.
RTHMN began with a curiosity about the structures that emerge when movement is measured differently. Shaped by mathematics and patterns in nature, that curiosity led us from fixed ranges to software, pattern research, and replay. Today we use that work to develop quantitative strategies for our own investment practice.
Keeping research and technology close to the investment process lets us examine an idea in the same language from first observation to decision. Selected public tools remain available, but the firm's focus is its own investment work.
We draw inspiration from the way complex forms emerge in nature and from the mathematics that describes them. Those ideas shape the questions we bring to markets; their value still has to be earned in data. Here we share the research, models, and engineering that grow from that process.
Interested in our work? We welcome conversations with investors, researchers, and potential partners.
Get in touch hello@rthmn.com