How to Read News Before It Moves the Market

Everything in this course eventually shows up as a scheduled release on an economic calendar. This lesson covers how to read one like a professional, instead of just reacting to a headline number.

The figure recorded last time this data was released — sometimes shown as revised if it's since been updated (see Revision, below). Always check whether it was revised before comparing the new release against it.

Forecast

The consensus estimate — an average of predictions from economists surveyed ahead of the release. This is what the market has already priced in, which is why it matters more than the raw historical trend on its own. Some calendar providers also show the full range of individual estimates alongside the consensus — a wide range signals more genuine uncertainty (and more potential for a large surprise) than a narrow one.

Actual

The real, published figure. What moves the market most isn't the actual figure in isolation, but the gap between actual and forecast.

Revision

Many releases get revised later as more complete data arrives — most notably GDP and employment. A revision to a previous period can matter as much as the current headline, because it changes the trend the market thought it was looking at. A pattern of consistent revisions in one direction can itself become a signal — say, employment being revised lower for several months running suggests the initial reads have been too optimistic.

Example

📊 Payrolls come in roughly in line with forecast, but last month's figure gets revised sharply lower. The net effect can outweigh this month's in-line print entirely, because the two-month trend now looks meaningfully weaker than the market believed going in.

High-, medium- and low-impact events

Calendars typically flag each release by expected impact. High-impact events (Fed decisions, employment, inflation, GDP) are worth actively planning around; medium-impact ones are worth being aware of if you're already positioned; low-impact ones rarely justify changing a plan, though they can occasionally surprise.

Why it matters

ℹ️ Impact ratings are a guide, not a guarantee — a normally low-impact release can move markets sharply on an unexpected surprise, and a high-impact one can pass quietly if it lands exactly on consensus.

Surprise factor

The size of the gap between actual and forecast — sometimes tracked explicitly by "surprise indices" that aggregate how data has been coming in relative to expectations across many releases. An economy consistently beating forecasts is often building an underlying growth or inflation story before any single number looks dramatic on its own.

Pre-news and post-news behaviour

Ahead of a major release, liquidity often thins and price compresses into a tighter range as traders wait rather than commit ahead of it. Immediately after, volatility typically spikes as the market digests the number — and the first move can occasionally reverse once the market absorbs the full report, including details buried beneath the headline.

Key takeaway

🎯 Build a simple weekly habit: know what's scheduled before the week starts, which releases are genuinely high-impact for the indices you follow, and roughly what's already priced in going into each one.

Common mistake

🚫 Don't stop at the headline actual-vs-forecast number. Revisions, the composition of the beat or miss, and how each element feeds the central bank's likely reaction routinely matter more than the single number in the headline.