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Economic calendar & events · Lesson 1 of 4

How to read an economic calendar

4 min read

Draft lesson — under editorial review

Anatomy of an economic calendar rowA sample calendar row with made-up figures: 13:30, USD, CPI year on year, high importance, actual 3.4%, forecast 3.0%, previous 3.2% revised from 3.1%. The surprise is actual minus forecast: 3.4 minus 3.0 is 0.4 percentage points, not 0.4%. The previous figure was revised up from 3.1% to 3.2%. 8:30 in New York in winter is 13:30 UTC, 13:30 in London and 17:30 in Dubai. Importance describes typical impact, not a forecast for this release.ANATOMY OF A CALENDAR ROWMADE-UP FIGURESTimeCcyEventImpactActualForecastPrevious13:30USDCPI y/y3.4%3.0%3.2%rev.8:30 NEW YORKUTC13:30London13:30Dubai17:30winter exampleTHE SURPRISE+0.4 pts3.4% − 3.0%points, not per centREVISION3.1% → 3.2%previous figurerevised upwardsImportance = typical impact, not a forecast for this release
Key ideaMarkets react to the surprise, actual minus forecast. Read the whole row, revisions included, and convert the release time to your own clock.

An economic calendar is a schedule of upcoming data releases, central bank decisions and speeches. Traders use it to know when the market is likely to move sharply, not to predict which way. This lesson shows you how to read each column and avoid the most common misreadings.

What a calendar entry looks like

Most calendars, whatever the provider, show the same core information for each event. Here is a typical row, using made-up figures:

TimeCurrencyEventImportanceActualForecastPrevious
13:30USDCPI (year on year)High3.4%3.0%3.1% (rev. 3.2%)
  • Time is when the figure is published. Check which time zone the calendar is set to.
  • Currency is the currency most directly affected.
  • Event names the release and the measurement period, for example "year on year" or "month on month".
  • Importance (often shown as one to three icons or colours) is the provider's estimate of how much the release usually moves the market.
  • Actual is the figure once it is published.
  • Forecast, sometimes called consensus, is the median expectation of economists surveyed before the release.
  • Previous is last period's figure, sometimes with a revised value.

Actual versus forecast: the surprise is what matters

Markets usually price in the forecast before the release. What moves prices is the surprise — the gap between actual and forecast — and how that surprise changes expectations for interest rates.

Worked example

Using the illustrative row above:

  • Forecast: 3.0%
  • Actual: 3.4%
  • Surprise: 3.4% − 3.0% = 0.4 percentage points higher than expected

Note the wording: a move from 3.0% to 3.4% is 0.4 percentage points, not 0.4%. In relative terms it is 0.4 ÷ 3.0 ≈ 13% higher than the forecast. Mixing these up is a common error.

A higher-than-expected inflation figure can lead traders to expect higher interest rates, which has often supported the currency. But this is a tendency, not a rule: the reaction also depends on what was already priced in and on the rest of the report.

Revisions

Many statistics are revised as more complete data arrives. In the example, last month's figure was first published as 3.1% and has now been revised to 3.2%. Revisions matter because:

  • a large upward revision to the previous figure can partly offset a disappointing new number, or the reverse;
  • some releases, such as US employment data, are routinely revised in later months;
  • headlines often quote only the new number, so you need the full row to understand the picture.

Importance ratings are a guide, not a forecast

The importance label reflects how a release has typically affected markets. It does not tell you how this particular release will behave. A "medium" release can move a currency sharply if the market is focused on that topic, and a "high" release can pass quietly if the result matches the forecast. Treat the rating as a reminder to check your open positions, not as a forecast.

Time zones: the most practical skill

Releases are scheduled in the issuing country's local time. US data is commonly released at 8:30 am New York time, for example. Your calendar may display a different time zone, and daylight saving changes on different dates in different countries.

Worked example: one release, three cities

A US release at 8:30 am New York time converts as follows. The UAE does not use daylight saving and stays on UTC+4 all year.

New York clockUTCLondonDubai
8:30 (winter, UTC−5)13:3013:30 (GMT)17:30
8:30 (summer, UTC−4)12:3013:30 (BST)16:30

The working: in winter, 8:30 + 5 hours = 13:30 UTC, and Dubai adds 4 hours to reach 17:30. In summer, 8:30 + 4 hours = 12:30 UTC, and Dubai is 16:30. London is usually 13:30 in both seasons because the UK also shifts its clocks. However, the US and UK change their clocks on different dates, so for a few weeks in March and again in late October to early November the gap is four hours and the release lands at 12:30 London time.

Set your calendar to your own time zone and double-check important events in the weeks around clock changes.

A simple weekly routine

  1. At the start of each week, filter the calendar to the currencies you trade and to medium and high importance.
  2. Note the date and your local time of each event, including central bank decisions and speeches.
  3. For each one, write down the forecast and the previous figure so you can recognise a surprise quickly.
  4. Mark which planned trades could be affected; lesson 4 covers how to handle them.

Key takeaways

  • The calendar tells you when volatility is more likely, not which direction prices will move.
  • Markets react mainly to the surprise between actual and forecast, and to how it shifts interest-rate expectations.
  • Read the whole row: revisions to the previous figure can change the meaning of the new one.
  • Importance ratings describe typical behaviour, not a promise of movement.
  • Convert release times carefully, especially in the weeks when daylight saving dates differ between countries.

Educational content only — not financial advice. Trading leveraged products such as forex and CFDs carries a high risk of losing money.

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