Maldives Imports

Maldives · Monthly series · EC-MV-IMP

Latest, July 2026

339.3M USD

-12.3% from June 2026

Open interactive chartMaldives Imports in the app

499.3M299.5M99.69MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 359.7M USD, with an 80% interval of 293.9M USD to 426.0M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 2026359.8M USD298.3M USD429.8M USD
September 2026358.1M USD341.0M USD377.4M USD
October 2026356.8M USD319.7M USD396.7M USD
November 2026357.6M USD305.5M USD413.7M USD
December 2026363.3M USD234.0M USD499.3M USD
January 2027360.1M USD291.8M USD433.0M USD
February 2027357.2M USD301.9M USD414.4M USD
March 2027358.2M USD262.8M USD456.2M USD
April 2027362.4M USD239.9M USD487.3M USD
May 2027359.8M USD250.5M USD471.0M USD
June 2027358.2M USD251.2M USD467.3M USD
July 2027359.7M USD293.9M USD426.0M USD

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
+14%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
76%No clear edge over a coin flip (109 of 144 calls right in 12 tests)
Turning points
14 of 78Anticipated some turns (78 turns in 12 tests, 0 without a turn)
Error vs baseline
14% lowerError ratio 0.86; 1.00 is a tie.
Tests won
9 / 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 93% 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 2026339.3M USD
June 2026386.7M USD
May 2026355.5M USD
April 2026426.1M USD
March 2026371.1M USD
February 2026312.7M USD
January 2026357.7M USD
December 2025346.0M USD
November 2025336.5M USD
October 2025313.0M USD
September 2025296.4M USD
August 2025316.5M USD
July 2025290.4M USD
June 2025255.5M USD
May 2025283.6M USD
April 2025300.5M USD
March 2025284.7M USD
February 2025284.6M USD
January 2025310.4M USD
December 2024375.4M USD
November 2024260.2M USD
October 2024330.3M USD
September 2024330.5M USD
August 2024296.3M USD

Source

Data: public market data feeds.

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