How economic data moves forex: NFP, CPI, GDP, PMIs and the surprise factor

Economic data moves currencies because it changes what traders expect central banks to do with interest rates. A stronger-than-expected inflation or jobs figure can raise expectations of higher rates, which tends to support a currency; a weaker figure can do the reverse. The size of the move depends less on the number itself than on how far it differs from the consensus forecast, and on what the details say about the economy.

The chain from data to price

It helps to think of each release as one link in a chain:

1. Data is published at a scheduled time, such as the US employment report at 8:30am New York time.
2. Traders compare it with expectations, mainly the consensus forecast shown on an economic calendar.
3. They update their view of the economy: is inflation stickier, is the labour market cooling, is growth faster than thought?
4. They update their view of central bank policy: does this make a rate change more or less likely, sooner or later?
5. Interest-rate expectations shift, visible in short-term bond yields and rate futures.
6. The currency adjusts, because expected rate differentials between two economies have changed.

Step 4 is the key. Most data moves currencies because of what it implies for central banks, which is why the same data can matter hugely in one year and barely at all in another. If a central bank has said it is focused on inflation, inflation data dominates. If it is worried about jobs, employment data takes over. Read central banks and interest rates for the policy side of the story.

Surprise versus consensus

Before a release, economists' forecasts are collected and the median becomes the consensus. Prices drift to reflect that expectation and, often, traders' guesses about which way the risks lie. When the actual figure is published, only the difference from what was expected is new information.

Three practical consequences:

• An in-line number rarely causes a lasting move. Even a very strong figure is not news if everyone expected it.
• The size of the surprise matters relative to normal forecast errors. Some releases routinely miss consensus by a wide margin because they are hard to forecast; a miss of that size is less informative than an equivalent miss on a stable series.
• Revisions count. Many releases revise previous figures. A beat this month alongside a large downward revision to the last two months can leave the overall picture weaker.

The market's reaction also depends on positioning. If many traders have bet on a strong number, an in-line figure can disappoint and cause the currency to fall as those positions are closed. This is one reason why moves after data often look counterintuitive.

The major releases and what they measure

What follows focuses on the US, UK and euro area because those data sets move the most traded pairs. Release times below are typical and can change; always check the official schedule. Releases can also be delayed: during the US federal government shutdown in autumn 2025, for example, several US statistical releases were postponed.

Employment: US non-farm payrolls (NFP)

The US Employment Situation report is published by the Bureau of Labor Statistics, normally on the first Friday of the month at 8:30am New York time. It contains:

• Non-farm payrolls: the change in the number of jobs, from a survey of employers.
• The unemployment rate: from a separate survey of households.
• Average hourly earnings: wage growth, which feeds into inflation expectations.
• Revisions to the previous two months.

Payrolls are noisy and frequently revised, and the headline, the unemployment rate and wages can point in different directions. Because the Fed has an employment goal as well as an inflation goal, this report matters for the dollar more consistently than most. It is famous for sharp, erratic first moves.

Inflation: CPI and PCE

Consumer price index (CPI) reports measure changes in the prices consumers pay. Key versions:

• US CPI, from the Bureau of Labor Statistics, usually around the middle of the month.
• US PCE price index, from the Bureau of Economic Analysis, published later in the month; the Fed's 2% goal is defined on PCE, so the core PCE measure is closely watched even though CPI usually gets the bigger market reaction, because it comes first.
• UK CPI, from the Office for National Statistics, typically at 7:00am London time.
• Euro-area HICP, with a flash estimate from Eurostat around the end of the month or the first days of the next.

Two distinctions matter. Headline inflation includes everything; core inflation excludes volatile items such as energy and food (definitions vary). Central banks often pay more attention to core and to services inflation as signs of persistent pressure. And month-on-month versus year-on-year: a small difference in the monthly figure, say 0.4% instead of 0.3%, can be a large surprise for markets because annualised it implies a meaningfully faster pace.

Growth: GDP

Gross domestic product measures the total output of an economy. It is the broadest measure of growth, but it is backward-looking, covering a quarter that has already ended, and much of it is anticipated by earlier monthly data. US GDP is published by the Bureau of Economic Analysis as an advance estimate about a month after the quarter ends, followed by revised estimates. The UK publishes monthly GDP estimates as well as quarterly ones. GDP surprises can move currencies, but often less than inflation or jobs data, unless they change the picture significantly.

Activity surveys: PMIs

Purchasing managers' indices survey businesses about output, new orders, employment and prices. A reading above 50 indicates expansion compared with the previous month; below 50 indicates contraction. Flash PMIs, compiled by S&P Global for many major economies, are released before the month ends, which makes them among the earliest signals of the month's activity. In the US, the ISM manufacturing and services surveys are also widely followed. Markets watch the price components of PMIs for early clues about inflation.

Consumer spending: retail sales

Retail sales measure what consumers spend in shops and online. In the US, the Census Bureau publishes them monthly. They are volatile, affected by fuel prices and car sales, so traders often look at the "control group" or ex-autos measures.

Others

Jobless claims (weekly in the US), consumer confidence, housing data, trade balances and industrial production all appear on calendars. They usually matter less, but any of them can move markets when they bear directly on the question central banks are focused on at the time.

Worked example: reading a release in practice

The numbers below are illustrative, made up to show the reasoning, not real data.

The US employment report is due. Consensus: payrolls +150,000, unemployment rate 4.2%, average hourly earnings +0.3% month on month. EUR/USD trades at 1.0900 beforehand.

The release shows:

• Payrolls +210,000, a beat of 60,000.
• The previous two months revised down by a combined 70,000.
• Unemployment rate 4.3%, up 0.1 points against consensus.
• Average hourly earnings +0.2%, below consensus.

The headline is strong, and the first algorithmic reaction might push the dollar up, sending EUR/USD to perhaps 1.0870 in seconds. But once traders read the whole report, the picture is mixed or soft: revisions cancel the beat, unemployment edged up and wage growth slowed. If the market concludes this makes Fed rate cuts slightly more likely, the dollar could give back its gains and EUR/USD might finish the hour above where it started.

This "spike and reverse" pattern is common. It is why many experienced traders wait for the whole release to be absorbed before making any decision, and why reacting to the headline alone is risky.

Now the costs. Suppose a trader bought one mini lot of USD against EUR (sold EUR/USD) in the first second at 1.0870, a pip being worth about $1 per mini lot. The spread at that moment is 4 pips rather than the usual 0.5, so the trade starts 4 pips down. If the reversal carries EUR/USD to 1.0920 and the trader's stop at 1.0910 fills at 1.0915 because of slippage, the loss is 45 pips, about $45 on a mini lot or $450 on a standard lot. That is the practical risk of trading the release itself: wide spreads, unreliable fills and a high chance of reversals. Read spreads and commissions for why spreads widen, and position sizing for sizing a position so that this kind of outcome is affordable.

Why the same number can move markets differently

• Policy focus. When a central bank is openly debating its next move, data that bears on that question gets amplified.
• Starting positions. If the market is heavily positioned one way, a surprise against that position can produce an outsized move as traders exit.
• Other news. A data surprise can be swamped by a central bank speech, a political event or a move in another market on the same day.
• Relative data. Strong US data matters less for EUR/USD if euro-area data has been even stronger. Every pair has two economies; see currency pairs explained.
• Liquidity and time of day. A release during the London and New York overlap meets deep liquidity; one during a quiet session can cause sharper moves. See forex market hours and sessions.

How data fits with technical analysis

Data releases are the moments when chart-based assumptions are tested hardest. A support level that held for weeks can be broken in seconds by a large inflation surprise; a trend can reverse when expectations for rates turn. That is not a reason to ignore charts, but it is a reason to know what is scheduled. If you use support and resistance, moving averages or RSI and MACD, remember that none of them can see the calendar.

Managing risk around releases

Common approaches, none of which removes risk:

• Check the calendar before every trade for both currencies in the pair.
• Reduce position size or stand aside around the most important releases.
• Avoid tight stops just before a release, because normal post-release noise can hit them; if you widen a stop, reduce the position so that the money at risk stays the same. See where to put a stop-loss.
• Allow for gaps. A stop-loss is an instruction to close at the next available price, not a promise of a particular price.
• Watch your margin. Leverage magnifies losses during fast moves and can bring an account close to a margin call or stop-out. EU retail clients benefit from leverage limits and negative balance protection, explained in ESMA leverage limits and negative balance protection.
• Write down what you planned and what happened in a trading journal. Over time, this shows how news days affect your own results.

Most retail CFD accounts lose money, according to the risk disclosures brokers are required to publish, and data releases are among the moments when losses can arrive fastest.

Common mistakes

• Reading the headline only. Revisions and components often matter more.
• Ignoring the consensus. A "good" number that matches expectations is not a surprise.
• Chasing the first move. Spreads are wide, fills are poor and reversals are frequent.
• Assuming strong data always strengthens a currency. It depends on what it means for central bank policy and on what is happening in the other economy.
• Forgetting the time zone. Daylight saving changes on different dates in the US and Europe shift release times by an hour for some weeks of the year.
• Over-trading the calendar. Not every release deserves attention. Focus on the few that matter for the currencies you trade at the time.

Frequently asked questions

Which economic data moves forex the most?

Typically inflation figures, employment data (especially the US jobs report), central bank decisions, GDP, retail sales and PMIs. Which one dominates depends on what central banks are most focused on at the time.

What is NFP and why does it matter?

Non-farm payrolls is the monthly change in US employment, published by the Bureau of Labor Statistics, normally on the first Friday of the month. Because the Fed has an employment goal and the dollar is involved in most forex trades, it often causes large, fast moves across many pairs.

Why does the market sometimes move the opposite way to the data?

Because the headline may already have been expected, revisions or other components may tell a different story, and traders who were positioned for a bigger surprise may be closing trades. Markets react to what the data changes about expectations, not to whether the number sounds good.

What does a PMI above 50 mean?

It means more surveyed businesses reported an increase than a decrease in activity compared with the previous month, indicating expansion. Below 50 indicates contraction. The further from 50, the stronger the signal, though PMIs are surveys and can diverge from hard data.

What is the difference between headline and core inflation?

Headline inflation includes all items in the basket. Core inflation excludes volatile components, usually energy and food. Central banks often watch core to judge whether price pressures are persistent.

Is it a good idea to trade news releases?

It is high risk. Spreads widen, slippage increases and first moves often reverse. Many traders choose to reduce size or stay out until the initial volatility settles. Whatever you decide, plan it in advance and size positions so that a gap through your stop is affordable.