What Actually Moves Oil Prices

Published 10 August 2026 · 7 min read

Supply decisions, and who makes them

A group of major producing nations coordinates output, and its production decisions are among the most direct influences on price. Announcements of cuts or increases move the market immediately, and the follow-through — whether members actually comply with quotas — moves it over the following months.

Outside that group, shale production responds to price on a shorter cycle than conventional projects. This creates a rough ceiling: when prices rise enough, additional supply arrives within months rather than years.

Demand, inventories and the dollar

Demand tracks global economic activity, so oil is a reasonable proxy for growth expectations. Weekly inventory data gives a high-frequency read on whether supply and demand are balancing, and surprises in it move price on the day.

Oil is priced in dollars, so dollar strength mechanically pressures it for buyers using other currencies — the same relationship that connects the dollar to gold and to crypto.

Geopolitics, and why the reaction fades

Conflict or instability in producing regions produces immediate spikes on the risk of disruption. What matters afterwards is whether barrels are actually lost. If supply continues uninterrupted, the premium typically decays within weeks.

This pattern — sharp spike, gradual fade absent real disruption — repeats often enough to be worth knowing, and it is why buying an oil spike on a headline has so often been a poor trade.

Risk, defined properly

Getting the definition right changes what you actually do. Volatility is how much a price moves. Risk is the probability of a permanent loss of capital — of the reason you owned something ceasing to be true. An asset can be extremely volatile and low-risk for a patient holder, or barely move and be extremely risky if it is quietly failing.

The practical difference: volatility is survived with position sizing, risk is avoided with research. Sizing a position so that a 60% drawdown is uncomfortable rather than ruinous handles volatility. Nothing about sizing protects you from owning something whose thesis has broken.

Which is why both jobs need doing. Size for the volatility, research for the risk, and set an alert at the level where the thesis would be in question — so the review is triggered by the market rather than by whether you happened to be paying attention that week.

A short checklist to work from

The whole article, reduced to what to do next:

**Write the question first.** What specifically do you want to know? Vague monitoring produces vague results. **Define the condition.** A number, a percentage, or a relationship — something that is either true or false, not a feeling. **Decide the action in advance.** If nothing would change when the condition is met, do not set the alert.

**Size for the drawdown you can actually hold.** Not the one you hope for. **Check the market before reacting to the asset.** Most moves are not asset-specific. **Automate the watching.** You will not be looking when it matters. **Review monthly.** Delete what never fired and what you never acted on.

Seven lines, and doing them consistently will outperform almost any refinement of the analysis itself. The edge in this market is much less about knowing more than everyone else and much more about reacting worse than everyone else less often.

Why crude oil matters more in crypto than elsewhere

The usual advice assumes a market that closes. This one does not. It never closes, so there is no overnight gap in which to think — the largest moves routinely happen while your part of the world sleeps. It is far more volatile, so a position sized like an equity position behaves nothing like one. And it is heavily retail-driven, which makes sentiment swings sharper and reversals faster.

That combination is exactly why crude oil is worth getting right here specifically. Approaches that are merely helpful in a nine-to-five market become load-bearing in one that runs continuously and moves several times as fast.

It is also why automation beats attention. You cannot watch a 24/7 market; you can only decide in advance what would make you act, and arrange to be told when it happens. Everything below is built on that principle.

The psychology part nobody wants to read

The technical side of this is easy. The behavioural side is where the money is lost. Losses register roughly twice as heavily as equivalent gains, which is why a position down 30% produces urgent action while one up 30% produces vague satisfaction. That asymmetry pushes people to sell winners early and hold losers indefinitely — exactly backwards.

Volatility makes it worse. A market that moves several percent a day generates a near-continuous stream of small emotional events, and decision quality degrades with each one. This is the real argument for automation: not that software decides better, but that a decision made calmly on Tuesday is better than the same decision made anxiously at 3am.

The practical defences are unglamorous. Decide levels in advance and write them down. Use alerts so you are not watching. Cap how often you check — most people would improve their results by looking less. And when you feel urgency, treat the urgency itself as the signal to slow down, because nothing in a 24/7 market genuinely requires a decision in the next sixty seconds.

Reading the market, not just the asset

Single-asset analysis quietly assumes something that is usually false. During volatile periods, correlations across the market converge toward one: almost everything falls together, regardless of individual merit. Studying an asset in isolation therefore attributes market-wide moves to asset-specific causes, which produces confident conclusions that are simply wrong.

Before interpreting any move, check three things. What did Bitcoin do over the same window? What did the broad market do? And was there a macro event — a rate decision, an inflation print, a major liquidation cascade — that explains it without reference to this asset at all?

If the answer is that everything moved together, the move contains almost no information about this asset. If the asset moved alone, that is when it is worth investigating, and that is the far rarer and more valuable signal.

Costs that quietly eat the return

Frictions are small individually and substantial cumulatively. Between the chart and your account sit trading fees, the spread between bid and ask, slippage on anything larger than a small order, network fees when moving assets, and conversion costs if you are not trading in your home currency.

None is large in isolation. Together, on an actively traded account, they routinely consume a meaningful share of gross returns — and unlike market moves, they are guaranteed. This is the strongest practical argument for trading less: every round trip you avoid is a cost you certainly save, against a gain you only might have made.

Slippage deserves particular attention because it is worst exactly when you most want to act. Liquidity thins during violent moves, so the market order you place during a crash fills materially worse than the screen suggested. Limit orders paired with alerts are the standard answer: the alert tells you the level arrived, the limit order controls what you pay for it.

Never miss a move in the markets you follow

Set a price or percentage alert once and get a push notification the moment it triggers — free, with quiet hours so nothing wakes you at 3am.

Frequently asked questions

Keep reading