Iespieglounbeosmero
Who we are and what drives us
We study the shape of futures curves the way a cartographer studies coastlines — obsessively, methodically, and with genuine respect for how quickly the terrain shifts.
Momentum embedded in curve shape
Term structure momentum is not a trading tip. It is the observation that the slope, curvature, and roll dynamics of a futures curve carry forward-looking information that flat price momentum alone misses. We built our analytical work around that distinction from the beginning.
Spanning commodities, rates, and volatility
Commodity futures, interest rate futures, and volatility surface futures each have their own term structure mechanics. We treat them as a connected system rather than separate asset silos, because momentum signals often migrate across them in predictable sequences.
Practitioner depth, not surface summary
Our team reads primary research, reconstructs signal logic from first principles, and stress-tests assumptions against historical curve data before presenting any framework. We do not summarize what someone else concluded — we work through it ourselves.
We started with a frustration most practitioners recognize immediately
The gap between academic term structure theory and actionable analytical frameworks was wider than it had any right to be
So we decided to close it ourselves, one futures market at a time.
Most resources on term structure momentum either stop at the theoretical level — roll yield decomposition, convenience yield models, the Samuelson effect — or jump straight to simplified rules of thumb that strip out the very nuance that makes the concept useful. We found that gap genuinely frustrating, and we suspected we were not alone.
We are a small, focused team. Our backgrounds span quantitative research, derivatives structuring, and systematic market analysis across commodity and rate markets. We do not pretend to cover everything equally well — we are candid about where our depth is strongest and where we are still building.
The analytical frameworks we develop follow what we call an internal three-layer review: signal identification from curve data, cross-market plausibility checks, and scenario stress-testing against periods of structural market dislocation. That process is slower than we would like, but it keeps us honest about what the data actually shows versus what we hoped it would show.
What we believe about rigorous analytical work in futures markets
A few working principles that shape every framework we develop and every claim we put in writing
These are not slogans. They are the constraints we impose on ourselves.
Precision over reach. We would rather produce a tightly scoped analysis of crude oil
term structure momentum that holds up under scrutiny than a sweeping overview that
sounds authoritative but collapses when you press on the assumptions. Scope is a
feature, not a limitation.
Hedging is not weakness. Every claim we make comes with explicit boundary conditions.
Past performance of any signal framework does not guarantee future results — full stop.
We say that clearly because it is true, not because a compliance officer told us to
include it.
The incumbent view deserves a direct challenge. Conventional wisdom in term structure
analysis tends to calcify around a handful of well-known papers. We think practitioners
are better served when someone is willing to ask whether those frameworks still hold in
the current market structure — and to show the work behind the answer.
Transparency about uncertainty is a form of expertise. Telling you what we do not know, where the signal degrades, and which market regimes break the model is more useful than projecting false confidence. We try to treat uncertainty as information rather than an embarrassment to be smoothed over.
Our approach
We define term structure momentum precisely before we apply it analytically. The term
describes the tendency for momentum signals derived from the shape and dynamics of a futures
curve to persist over subsequent periods — distinct from simple price trend following.
That definition sounds dry. The implications are not. It changes which contracts matter,
which roll periods carry signal, and how cross-market comparisons should be constructed. We
think starting from that definition, rather than arriving at it later, makes every
downstream analysis more coherent and more honest.
What we do
Analytical frameworks
We develop structured analytical frameworks for reading momentum signals from futures term structures. Each framework specifies the curve inputs, the signal construction logic, the lookback window rationale, and the market conditions under which the signal has historically been less reliable. We document the assumptions explicitly so you can stress-test them yourself.
Cross-market signal review
Commodity, rate, and volatility futures do not move in isolation. We map how term structure momentum signals in one market tend to precede, lag, or invert signals in related markets. That cross-market perspective is where we think our analytical work adds the most distinctive value compared to single-market approaches.
Scenario and stress analysis
Historical curve data contains periods of genuine structural dislocation — supply shocks, rate regime shifts, volatility spikes. We build scenario analyses around those periods specifically because they are where simplified signal models tend to break down. Understanding the failure modes is, in our view, as important as understanding the signal itself.
Curious about how we structure our analytical work, or want to understand the specific markets we cover in the most depth? We are straightforward people and we are happy to talk through it without a sales pitch attached.
A few things we want to state plainly so there is no ambiguity about what Iespieglounbeosmero is and is not
Compliance and transparency — we take both seriously, not just one
Clarity here saves everyone time, including us.
We do not provide personalized financial advice, trade recommendations, or managed account services of any kind. The analytical frameworks we develop are for informational and research discussion purposes. Anyone applying analytical concepts to their own market activity should consult a qualified financial professional and consider their own circumstances carefully.
Past performance of any signal framework, analytical model, or term structure approach does not guarantee future results. Market structures evolve, and signals that have historically shown persistence can and do degrade. We are explicit about this in our analytical work, not as a formality but because it is genuinely true and practically important.
We operate transparently about the scope of our work. We cover futures markets in commodities, rates, and volatility. We do not cover equities, personal finance, or retail investment products. If a topic falls outside that scope, we say so rather than stretching our coverage to appear broader than we are.
Questions we get asked about our work, answered plainly
We have noticed that the same handful of questions come up repeatedly when practitioners first encounter our analytical frameworks. Here are the honest answers, without the corporate hedging that makes FAQ sections so tedious to read.
Do you offer personalized advice or recommendations?
No. We develop and discuss analytical frameworks for term structure momentum in futures markets. We do not provide personalized financial advice, trade signals, or managed services. For any application to your own circumstances, a qualified financial professional is the right resource.
Which futures markets do you focus on most?
Our deepest analytical work is in commodity futures — particularly energy and agricultural markets — and interest rate futures. We also cover volatility surface dynamics. We are candid when a topic sits at the edge of our current depth rather than overstating our coverage.
How do you handle conflicting signals across markets?
We document the conflict explicitly rather than resolving it artificially. Cross-market disagreements in term structure momentum are often the most analytically interesting situations, and we treat them as data points rather than inconveniences to be smoothed away in the final write-up.
What time horizons are relevant to term structure momentum?
It depends on the market and the specific curve dynamic being analyzed. Roll-window momentum in commodity markets operates on different horizons than rate curve slope persistence. We specify the horizon assumptions in each framework rather than applying a single universal lookback.
How do you update frameworks when market structure changes?
We revisit frameworks when structural shifts — regime changes in volatility, supply-side dislocations, policy-driven rate moves — make the original assumptions worth re-examining. We flag those revisions and explain what changed in the underlying logic, not just the output.
Four things we will not compromise on
We think of these as the constraints that keep our analytical work worth reading over the long term
1
Analytical honesty
We do not round off inconvenient findings to make a framework look cleaner. If a term structure momentum signal shows meaningful degradation in certain market regimes, we say so in the analysis — not in a footnote three pages later. The uncomfortable parts of the data are usually the most instructive parts.
2
Precise scope definition
We define exactly what each analytical framework covers and what it does not before presenting any findings. Scope creep in analytical work is how overconfident conclusions happen. We treat a clearly bounded claim as a stronger claim, not a weaker one, because it is actually defensible under scrutiny.
3
Methodological transparency
Every framework we develop documents its signal inputs, construction logic, lookback window rationale, and known failure conditions. We do this because practitioners deserve to be able to evaluate the methodology independently rather than taking our word for the conclusions we reached.
4
Candor about uncertainty
Market signals are probabilistic. Term structure dynamics shift. We do not project false confidence to appear more authoritative. Telling you where a framework is less reliable, and why, is a form of analytical respect — and it is the only way to maintain credibility across different market environments.