Intermarket analysis — how DXY, oil, gold and the S&P link to forex

On 15 March 2023, the day Credit Suisse wobbled, the screen looked like chaos to a beginner: US ten-year bond yields collapsed, the dollar first jumped, gold burst above 1,900 dollars an ounce, and the Canadian dollar weakened even though oil was not falling dramatically. None of those moves were random — they are the classic picture of a risk-off session, where capital flees risky assets into safe havens. Intermarket analysis is the language that lets you read those connections. Below I explain how currencies link to bonds, commodities and equities, and why those links are unstable rather than fixed.

What intermarket analysis actually is

Intermarket analysis starts from a simple premise: no market exists in a vacuum. The prices of currencies, bonds, commodities and equities constantly act on one another, because the same forces drive them all — interest rates, inflation, risk appetite and the flow of capital between countries. The American analyst John Murphy popularised the approach in the 1990s, showing that reading one market in isolation is like reading a single page from a thick book.

For a currency trader the practical value is this: before you open a position on a pair, you check whether the environment favours it. A strong uptrend on EUR/USD looks one way when US bond yields are falling (good for the euro) and quite another when they rise alongside the dollar index (working against the euro). It is a layer of context laid over the fundamentals of the currency market and over technical analysis — not a replacement for either.

Which links matter most for forex?

The first link is the dollar index (DXY) and US bond yields. The DXY measures the dollar against a basket of currencies, so a rise in it almost by definition means pressure on pairs where the dollar is the quote currency. Ten-year bond yields act like the engine underneath — higher real yields usually pull capital toward the dollar and strengthen it. I take the mechanics of the index itself apart in the piece on trading the DXY dollar index.

The second link is gold. Gold priced in dollars (XAU/USD) usually moves opposite to the dollar and rises when real yields fall or when the market turns nervous — gold is a classic safe haven. The third is oil and the commodity currencies: Canada exports oil, so pricier oil tends to support the Canadian dollar, which you can see on the USD/CAD pair; a similar, weaker mechanism applies to the Norwegian krone. The fourth link is the risk-on / risk-off mode — when the S&P 500 and risk appetite rise, risk-sensitive pairs such as AUD/JPY gain, and when fear strikes, capital runs to the yen, the franc, the dollar and gold.

Why are these correlations unstable rather than fixed?

Here is the catch that most guides stay silent about. Intermarket correlations hold on average, but they are not laws of physics. They shift for three reasons. First, the central-bank policy regime: as long as the market is focused on inflation, the dollar reacts to yields straight out of the textbook, but once attention moves to economic growth, that same rise in yields can weaken the dollar. Second, the time horizon — a daily correlation over the last month can be entirely different from an hourly one over the last five sessions.

Third, and most important: in a market panic the links break down. People say that "in a crisis everything correlates to one", because investors sell every asset to raise cash, and assets that are usually negatively correlated fall together. The same phenomenon ruins diversification built on pair correlations — a topic I develop in the article on currency pair correlations in practice. The lesson is hard: check the current correlation coefficient, and never assume that "it is always like this".

"All markets are interrelated — financial and commodity, domestic and international. No market moves in isolation from the others." — John J. Murphy, Intermarket Analysis: Profiting from Global Market Relationships, John Wiley & Sons, 2004.

How does a trader use this as context, not as a signal?

Take an illustrative example to show the way of thinking. Suppose that on Thursday morning US ten-year bond yields jump fifteen basis points after a hot inflation reading. The dollar index strengthens in response, gold loses ground, and AUD/USD starts to slide — because the Australian dollar is a risk-sensitive currency and, at the same time, sits on the other side of the pair from the dollar. Three markets are telling the same story: capital is heading toward the dollar.

What does a sensible trader do with that? They do not open a position "because of the correlation". They notice that the environment favours the short side on AUD/USD, then go back to the chart of the pair itself and wait for a technical setup — a support break, a retest, a candlestick signal. The intermarket link raised the probability of the scenario, but the entry level, the stop and the position size still come from analysis of the specific pair. And, to be honest: if a banking crisis erupted that same morning, this pattern could reverse within an hour, because fear overrides the logic of interest rates. So context yes, mechanical autopilot no.

What to do tomorrow

1. Add three charts to your morning review. Next to your main pair, open a chart of the dollar index, US ten-year bond yields and gold. It takes two minutes, and you will see at once whether the three markets tell a coherent story or diverge — the first filter before you even think about a trade.
2. Check the current correlation coefficient for your pair. Open the free correlation tool in your platform or analytics service and note how your pair behaved against the dollar and against a related pair over the window you actually trade. Repeat it a month later and compare — you will see with your own eyes that the number moves.
3. Write one sentence of context before every trade. Before you click, note in your journal why the intermarket environment favours the position (for example, "rising yields support the dollar"). If you cannot finish that sentence, you are probably trading against the environment, and it is worth pausing.
4. Rehearse a risk-off scenario on a demo account. Go back to the session of 15 March 2023 or to March 2020 and trace how gold, the yen, the dollar index and the risk-sensitive pairs behaved at the same time. You will see what it looks like when normal correlations break down, before you experience it with live capital.

If you want to organise this whole layer systematically, work through the intermarket analysis section on forexmechanics.com — intermarket analysis is not reading tea leaves, it is the discipline of checking whether the markets are speaking with one voice.