AgenticInvestor

Jordan Exports

Jordan · Monthly series · EC-JO-EXP

Latest, July 2026

935.66M JOD

+6.8% from June 2026

Open interactive chartJordan Exports in the app

2.282B1.249B216.2MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 968.57M JOD, with an 80% interval of 795.67M JOD to 1.17B JOD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 2026962.01M JOD846.81M JOD1.10B JOD
September 2026963.50M JOD842.35M JOD1.11B JOD
October 2026920.13M JOD852.98M JOD997.37M JOD
November 2026902.46M JOD822.12M JOD993.24M JOD
December 2026968.77M JOD780.68M JOD1.19B JOD
January 2027875.99M JOD698.82M JOD1.06B JOD
February 2027866.52M JOD663.67M JOD1.07B JOD
March 2027899.82M JOD807.58M JOD998.35M JOD
April 2027876.49M JOD657.46M JOD1.09B JOD
May 2027922.73M JOD736.38M JOD1.13B JOD
June 2027971.12M JOD766.37M JOD1.22B JOD
July 2027968.57M JOD795.67M JOD1.17B JOD

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+27%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
74%No clear edge over a coin flip (107 of 144 calls right in 12 tests)
Turning points
62 of 78Anticipated most turns (78 turns in 12 tests, 0 without a turn)
Error vs baseline
27% lowerError ratio 0.73; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 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 76% 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 2026935.66M JOD
June 2026876.07M JOD
May 2026928.38M JOD
April 2026976.18M JOD
March 2026927.87M JOD
February 2026812.64M JOD
January 2026943.29M JOD
December 2025930.98M JOD
November 2025985.72M JOD
October 2025949.08M JOD
September 20251.29B JOD
August 2025915.51M JOD
July 20251.06B JOD
June 2025876.01M JOD
May 2025820.04M JOD
April 2025753.33M JOD
March 2025893.42M JOD
February 2025967.34M JOD
January 2025893.68M JOD
December 20242.28B JOD
November 2024946.27M JOD
October 20241.05B JOD
September 20241.08B JOD
August 20241.11B JOD

Source

Data: public market data feeds.

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