Refiners, producers, shipping fleets, trading desks — the energy book can't simply be closed. Crude, heating oil and gasoline each carry a measurable structure: the equilibrium between how the market absorbs upside and downside force. That balance holds until a move overwhelms it — and the rupture is detectable the instant it happens, while conventional risk measures still read it as noise. QEIv18 quantifies that structural state every day across the energy complex and reports the break on a sealed, tamper-evident record your desk acts on under its own policy.
A sealed structural risk-state layer for professional energy exposure — with gold as a macro risk reference.
In a market flooded with AI that predicts, QEIv18 doesn’t predict at all. It measures.
No model is trained, no parameters are learned, nothing adapts to its own results. One frozen procedure produces the same state from the same data, every time — auditable and reproducible by you.
It does not estimate where price might go. It reads whether the structure holding your exposure has broken — a measurement of the system’s state right now, not a guess about the future.
You don’t have to take our history on faith. The thresholds are fixed, never fit to commodity data, and the entire sixteen-year computation is fingerprinted to a SHA-256 provenance chain you can re-verify independently.
Maximum drawdown and total return under buy-and-hold versus the QEIv18 structural overlay, across the full window of 193 months (June 2010 – June 2026), for the three energy instruments. The overlay reduced peak-to-trough loss on every one — and on the energy book it also exceeded buy-and-hold on total return. Figures are frictionless, close-to-close — each desk models execution cost against its own fills. QEIv18's own worst drawdown over the period was roughly 48% on the energy book: this is a crash-cushion, not a smooth-return product. Every figure below is computed on complete, gap-free settlement data and sealed to a SHA-256 provenance chain.
Gold runs on the same deterministic engine and is included as a macro risk reference — a read on broader risk regime that sits alongside the energy book. When gold's structure breaks defensive, it has historically coincided with risk-off conditions across markets. How you use it is yours: as a regime filter, a cross-check on energy signals, or simply context. The figures shown are the structural overlay against buy-and-hold over the same 193-month window.
QEIv18 structural overlay, full 2010–2026 window (193 months), close-to-close, daily states. Max drawdown is the deepest peak-to-trough fall on the equity curve — lower is better; the headline figure is the reduction versus buy-and-hold in percentage points. All figures are frictionless — gross of execution cost, which each desk models against its own fills. These are historical research results on the validated instrument set — not a live, forward, or guaranteed return, and not an offer or solicitation to trade.
A backtest can be made to look good by shaping it to the past — fitting it until it flatters the exact history it was tested on, which tells you nothing about tomorrow. QEIv18 was built to resist that, and the defence is structural.
Tested against the moving-average and range-based overlays a desk would otherwise run, with no hindsight allowed, QEIv18 was the only method that stayed positive across every instrument. Rules that looked strong in hindsight collapsed once denied it — the clearest sign QEIv18 measures something real, not a curve fitted to the past.
The levels that define a structural break are fixed statistical defaults, set before any commodity was tested. Nothing was searched or optimised to flatter these results — the same untouched contract runs on every instrument.
The sixteen-year record is split in two. A method tuned to the past would shine on the first half and fail on the second. QEIv18 holds on the second half it was never exposed to — the test that separates a real effect from a curve fitted to history.
Each day's state is committed to a tamper-evident SHA-256 chain and revealed on a one-week delay. The live record cannot be edited after the fact — it accumulates as proof the calls were made in advance, not fitted afterward.
Volatility models, statistical signals, and machine-learning systems all do the same thing underneath: estimate the probability of a future move from past patterns, with parameters trained on data that can be re-fit, drift, and fail to repeat. QEIv18 does something categorically different — and far simpler to trust. It runs one frozen, documented procedure that measures the present structural state of the instrument directly. Same inputs, same output, every time. Nothing is learned, nothing is fitted to the result, nothing changes between runs. You are not asked to trust a model’s forecast — you are shown a deterministic reading you can reproduce yourself.
| Dimension | Volatility / statistical / ML methods | QEIv18 structural physics |
|---|---|---|
| What it produces | A probability of a future price move from historical patterns | A direct measurement of the present structural integrity of the instrument |
| Core question | Where might price go, and how likely is it? | Has the structure holding this exposure broken — and which way? |
| Nature of output | A forecast that can drift and be re-fit to new data | A deterministic state under a fixed, documented contract |
| Behaviour in a shock | Often lags — many models confirm the move after price reveals it | Reads the structural break as it forms, not only after the fall |
| Dependence on tuning | Performance often relies on parameters fit to past returns | Thresholds are fixed statistical defaults, never fit to commodity returns |
The engine treats each instrument's price behaviour as a physical system with a measurable energy balance between upside and downside motion. When a move exceeds the normal energy pattern, the prevailing structure breaks — and the engine reports it. A downside move beyond the pattern breaks the bull structure; an upside move beyond it breaks the bear structure.
The same deterministic procedure runs on every instrument, every day, reporting one of three structural states. A desk reads the state and decides — under its own policy — whether to hedge, reduce, re-engage, or hold.
A frozen, documented contract with no discretionary overrides, self-scaling to each instrument's own energy pattern — then sealed.
Recent daily moves for the instrument.
Upside and downside motion measured apart.
The imbalance, and its acceleration.
Normalised to the instrument's own pattern.
Structured / Bull broke / Bear broke.
SHA-256, T+7 published proof chain.
A break is read in either direction — the engine measures when a move exceeds the instrument's normal energy and ruptures the prevailing structure.
The energy balance between upside and downside motion holds. The prevailing structure is sound and exposure is on stable ground.
A downside move has exceeded the normal energy and broken the rising structure. The recorded case to hedge or reduce exposure.
An upside move has exceeded the normal energy and broken the falling structure. The recorded case to lift a hedge or re-enter exposure.
The state tells a desk when its exposure is structurally sound and the moment that changes. A broken bull structure is the case to defend the downside; a broken bear structure is the case to re-engage. What the desk does stays its decision — the engine simply puts the structural truth in front of the people who own it.
A daily, deterministic read on whether each position's structure is intact.
A broken bull structure is the recorded, structural case to hedge the downside — timed by the system, not by nerve.
A broken bear structure signals the prevailing structure has turned — the case to lift a hedge or re-enter.
When the structure holds through a headline shock, documented evidence to stay exposed rather than sell into noise.
A sealed, timestamped basis for every exposure decision, defensible after the fact.
Structural states across crude, refined products, and refinery margins — the exposure an energy desk actually carries.
QEIv18 emits one two-sided signal: a red flag when downside structure breaks, a green flag when it reforms. What a desk does with those two flags depends on its mandate. Both modes read the identical, audited engine — the difference is the action, not the science.
For desks that cannot step out of the energy market — refineries long their crack spread, producers and majors long their own output, shipping and airline fleets long their bunker and jet-fuel bill, mandate-bound managers held to full investment. The red flag is the signal to defend the downside; the green flag is the signal to lift the hedge when structure reforms, so protection is not left on while it costs you. You set hedge size, instrument, and policy — the engine supplies the structural truth.
Refineries · oil & gas producers and majors · shipping & aviation fuel desks · sovereign oil companies · physical energy trading houses.
For capital that can move freely — energy-focused hedge funds, family offices that trade energy, sovereign and institutional allocators with energy mandates. Exit the exposure on the red flag, re-enter on the green: the full two-sided overlay. These are the curves in the full 193-month evidence — the returns shown there are the result of acting on both flags, exit and re-entry together.
Energy hedge funds · energy-trading family offices · sovereign wealth funds · commodity macro allocators.
The two modes are not separate products and they are not exclusive. An energy house that holds physical exposure and runs discretionary books reads one feed for both. The same green flag that tells an allocator to re-enter tells a hedged refiner to stand down its protection — one signal, mapped to the risk you actually carry.
A one-week delayed, sealed structural feed — watch the states resolve against events on a tamper-evident record before any paid engagement.