Direct answer
Actual Forecast Previous (often shown as “Actual”, “Forecast”, and “Previous”) is best interpreted as a snapshot of an economic indicator release: what was measured (“Actual”), what was expected by analysts or models at the time (“Forecast”), and what the last reported value was (“Previous”). The most reliable inference from it is descriptive: how reality compared with expectations, and whether the new reading moved away from the prior one.
It is not, by itself, a dependable predictive tool. Past releases and historical gaps do not establish future results, because market reactions depend on many variables beyond the indicator, such as other news, liquidity, execution conditions, and how new information is priced.
Mechanism and definition
Start with the three fields:
- Actual: the value published when the release occurs (the realized number).
- Forecast: an estimate made before the release by analysts, forecasting systems, or aggregated expectations.
- Previous: the last reported value for that same indicator, which may be the value from the prior release cycle.
A common way to interpret the set is to compute two differences (using the same units and the same release):
- Surprise vs forecast = Actual − Forecast
- Change vs previous = Actual − Previous
Example (assumption: same indicator, same units, and both differences are computed with numeric values): if Actual is 102, Forecast is 100, and Previous is 98, then surprise vs forecast is +2, and change vs previous is +4. Those results describe what happened relative to expectations and relative to the last reading.
Evidence or example
Consider how the numbers can be consistent or contradictory:
- Actual > Forecast but Actual ≈ Previous: the release beat expectations, yet did not move far from what was already known from the last cycle. In this case, the “surprise” is positive, but the “trend change” is small.
- Actual < Forecast but Actual ≫ Previous: the release missed expectations, but still improved versus the prior reported reading. Markets may react to the forecast gap, while analysts might focus on the direction of improvement.
- Actual ≈ Forecast and far from Previous: the release matches expectations, so the surprise is small, even though there may be a notable revision of the indicator level versus the prior value.
These patterns help you describe relationships inside the dataset, which is the part you can check reliably using the displayed values.
Limitations and risks
Several material limitations affect interpretation:
- No guarantee of future price behavior: even if Actual surprises strongly versus Forecast, subsequent market outcomes depend on broader conditions and how participants digest new information.
- Provider and data revisions: “Previous” and sometimes even the indicator series can be updated over time. If you compare values across different sources or dates, you may be using revised figures.
- Unit and transformation issues: indicators can be reported as levels, rates of change, year-over-year, month-over-month, or seasonally adjusted figures. Two “equal-looking” numbers might not mean the same thing.
- Failure mode—interpreting gaps without context: a large surprise can still be economically ambiguous if the indicator is volatile or if other releases around the same time move the narrative.
Verification and next question
To independently verify what you can infer, check three things for each release:
- The units and basis (level vs rate, adjustment method, comparison period).
- Whether the values are from the same source and publication moment.
- Whether the indicator is subject to revisions in your chosen dataset.
If you want to go further, a useful next question is how the “Actual vs Forecast vs Previous” view is calculated in a worked scenario, and which common mistakes people make when comparing these values across releases.