1. The surprise / non-surprise scorecard — separate outcomes from priors
The repeatable method
- After a shock, list what actually happened, then bucket each item as a surprise (violated your prior) or a non-surprise (confirmed a known tendency). Force the distinction — it stops you from re-narrating the event to fit the position you already had.
- For every "surprise," name the specific mechanism you missed and ask whether it's sustainable or temporary — a durable regime change vs a one-off drawdown.
- For every "non-surprise," don't act on it as news; it was already in expectations, so its only value is confirming the base case.
Here: surprises = China's 4–6 mb/d import cut, refining (not crude) as the structural casualty, and a resilient S&P/AI trade; non-surprises = the revived IEA/bank "oil glut" calls and the absence of smooth peace in an Age of Drones. Saudi's east–west pipeline redirect and US SPR draws were explicitly filed as non-surprises.
Watch for
- Any post-crisis narrative that only confirms your prior — that's the tell you haven't actually run the scorecard.
2. Find the hidden marginal actor — not just the obvious swing producers
The repeatable method
- Decompose the headline supply/demand shock into its pieces and attribute each to a specific actor (redirected exports, SPR draws, demand destruction).
- The pieces everyone already models (OPEC/Saudi policy, US shale response) carry no information. Hunt for the actor whose behavior is not in consensus — here the demand-side buffer, not a producer.
- Once identified, test durability: is it drawing a finite stockpile (temporary) or a structural change? A finite buffer means the moderating force reverses later.
Here: the ~15 mb/d hit was mostly explained by known actors; the un-modeled swing factor was China drawing its SPR by 4–6 mb/d — making Saudi + US + China the three stabilizers that capped both the $150–$200 spike and the sub-$50 glut. Finite, so China returns to ~12 mb/d of imports eventually.
Watch for
- China's import run-rate returning toward 12 mb/d (the buffer exhausting); any new demand-side actor quietly absorbing or dumping barrels.
3. "Do the opposite" — read the term structure as sentiment, not signal
The repeatable method
- Anchor on the long end: 60-month-forward crude has held a stable $65–$70 band. Treat that as the structural value; the front end is where emotion lives.
- Measure front-to-back spread. Steep backwardation (month 1 well above month 60, here $25–$30 at the peak) is a stress reading — a reason to fade bullishness, not chase it. Slight contango is the opposite — don't turn maximally bearish into it.
- Apply George Costanza: at the extremes, lean against the crowd. This is psychological discipline, not a trade signal — size and timing are separate.
Here: with the front end spiking on renewed hostilities and the IEA/banks extrapolating a 2027 glut at the same time, Murti fades both extremes and expects long-dated crude to stay in its $65–$70 band.
Watch for
- The 1-to-60-month spread hitting an extreme (either steep backwardation or unusual contango) while commentators extrapolate that extreme forward — the contrarian entry to the psychology, not necessarily the price.
4. The corporate returns standard — judge the business, not the price forecast
The repeatable method
- Stop trying to guess where oil settles. Instead set a through-cycle bar for the company: it should earn a decent return at a normal trough and never lose money at a deep trough.
- Sum the full cycle of ups and downs and require a mid-teens cash-on-cash return or better, plus competitive per-share growth.
- A name that clears that bar is ownable regardless of the near-term price path; one that needs a high oil price to work fails the test.
Here: Murti frames it as the Veriten corporate lens — in a "Geopolitical Super Vol" world of guaranteed volatility, survivability at the trough and mid-teens cash returns across the cycle matter more than any single oil-price call.
Watch for
- Balance-sheet break-evens and trough free-cash-flow; per-share (not headline) production/reserve growth as the durability check.
5. Re-map the risk premium — find which link in the chain actually gets hit
The repeatable method
- Don't assume "geopolitical turmoil = bullish crude." Trace the specific disruption to the specific segment: upstream fields, shipping/choke-points, refining, or LNG.
- Ask where a sustained (not one-off) disruption can land, and cross it against each segment's supply-growth outlook. A segment that is both attackable and starved of new capacity carries the real, persistent premium.
- Distinguish concentrated single-point risk (one hub) from a growth market that is diversifying its supply base — the latter self-heals, the former doesn't.
Here: crude's "permanent disruption" premium faded (fields safe post-April-7 cease-fire), while refining absorbed it — Ukraine's drones hitting Russian refineries thousands of miles away, on top of years of under-investment from the peak-oil-demand narrative. LNG scored lower risk despite Ras Laffan (~17% of exports) because that market is growing and diversifying (US Gulf Coast, Canada).
Watch for
- Drone/standoff-weapon strikes shifting from fields to downstream infrastructure; segments with attackable choke-points and stalled capacity additions (refining) vs those with heavy diversified CAPEX (LNG).