Oman Exports

Oman · Monthly series · EC-OM-EXP

Latest, July 2026

6.84B OMR

-0.7% from June 2026

Open interactive chartOman Exports in the app

12.52B6.909B1.299BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 6.41B OMR, with an 80% interval of 2.30B OMR to 11.25B OMR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20266.79B OMR6.31B OMR7.33B OMR
September 20266.75B OMR6.00B OMR7.57B OMR
October 20266.72B OMR5.58B OMR7.94B OMR
November 20266.69B OMR5.20B OMR8.32B OMR
December 20266.66B OMR5.64B OMR7.77B OMR
January 20276.62B OMR4.96B OMR8.50B OMR
February 20276.58B OMR4.32B OMR9.12B OMR
March 20276.54B OMR4.18B OMR9.24B OMR
April 20276.50B OMR3.66B OMR9.83B OMR
May 20276.47B OMR1.86B OMR11.87B OMR
June 20276.44B OMR1.30B OMR12.52B OMR
July 20276.41B OMR2.30B OMR11.25B OMR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+5%Matches the no-change baseline over 7 tests (7 tests, 5 won)
Direction
71%No clear edge over a coin flip (60 of 84 calls right in 7 tests)
Turning points
8 of 48Anticipated some turns (48 turns in 7 tests, 0 without a turn)
Error vs baseline
5% lowerError ratio 0.95; 1.00 is a tie.
Tests won
5 / 7Complete rolling backtests; ties count as no win.
Test period
2019-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
81%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 98% of the 119 earlier readings since August 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
July 20266.84B OMR
June 20266.88B OMR
May 20267.66B OMR
April 20266.01B OMR
March 20264.76B OMR
February 20264.37B OMR
January 20264.74B OMR
December 20255.20B OMR
November 20254.97B OMR
October 20255.74B OMR
September 20254.82B OMR
August 20254.76B OMR
July 20255.14B OMR
June 20254.85B OMR
May 20254.85B OMR
April 20255.02B OMR
March 20255.62B OMR
February 20254.46B OMR
January 20255.07B OMR
December 20245.29B OMR
November 20245.13B OMR
October 20245.57B OMR
September 20245.15B OMR
August 20245.43B OMR

Source

Data: public market data feeds.

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