Sudan Imports

Sudan · Monthly series · EC-SD-IMP

Latest, July 2026

938.7M USD

-15.6% from June 2026

Open interactive chartSudan Imports in the app

1.892B955.7M19.12MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 917.4M USD, with an 80% interval of 95.2M USD to 1.74B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 2026942.4M USD719.1M USD1.20B USD
September 2026903.3M USD536.6M USD1.30B USD
October 2026897.4M USD601.7M USD1.20B USD
November 2026925.2M USD560.4M USD1.32B USD
December 20261.06B USD401.5M USD1.81B USD
January 2027837.4M USD193.8M USD1.47B USD
February 2027870.2M USD329.6M USD1.39B USD
March 2027904.6M USD457.9M USD1.35B USD
April 2027884.8M USD474.3M USD1.30B USD
May 2027921.1M USD336.2M USD1.52B USD
June 2027930.5M USD19.1M USD1.89B USD
July 2027917.4M USD95.2M USD1.74B USD

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
+9%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
70%No clear edge over a coin flip (101 of 144 calls right in 12 tests)
Turning points
71 of 87Anticipated most turns (87 turns in 12 tests, 0 without a turn)
Error vs baseline
9% lowerError ratio 0.91; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
82%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 82% 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 2026938.7M USD
June 20261.11B USD
May 20261.59B USD
April 2026766.4M USD
March 2026682.5M USD
February 2026777.3M USD
January 2026499.3M USD
December 2025714.2M USD
November 2025855.2M USD
October 2025931.2M USD
September 2025487.0M USD
August 20251.10B USD
July 2025601.5M USD
June 2025704.1M USD
May 2025602.8M USD
April 2025591.2M USD
March 2025474.3M USD
February 2025431.8M USD
January 2025529.6M USD
December 2024541.0M USD
November 2024584.4M USD
October 2024488.5M USD
September 2024385.9M USD
August 2024327.2M USD

Source

Data: public market data feeds.

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