Suriname Exports

Suriname · Quarterly series · EC-SR-EXP

Latest, Q1 2026

1.14B USD

+1.1% from Q4 2025

Open interactive chartSuriname Exports in the app

1.31B787.4M264.6MQ1 2006Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 1.10B USD, with an 80% interval of 734.9M USD to 1.31B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 20261.11B USD981.0M USD1.17B USD
Q3 20261.11B USD925.4M USD1.21B USD
Q4 20261.11B USD811.1M USD1.28B USD
Q1 20271.10B USD734.9M USD1.31B 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
+4%Matches the no-change baseline over 8 tests (8 tests, 6 won)
Direction
66%No clear edge over a coin flip (21 of 32 calls right in 8 tests)
Turning points
6 of 11Anticipated most turns (11 turns in 8 tests, 0 without a turn)
Error vs baseline
4% lowerError ratio 0.96; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-06-01 to 2026-03-014 observations ahead per test.
80% band coverage
84%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

That is the highest of the 40 readings since Q2 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
Q1 20261.14B USD
Q4 20251.13B USD
Q3 2025679.9M USD
Q2 2025589.2M USD
Q1 2025571.1M USD
Q4 2024671.8M USD
Q3 2024652.5M USD
Q2 2024631.3M USD
Q1 2024625.6M USD
Q4 2023643.4M USD
Q3 2023624.4M USD
Q2 2023507.0M USD
Q1 2023585.6M USD
Q4 2022644.9M USD
Q3 2022560.9M USD
Q2 2022618.2M USD
Q1 2022632.6M USD
Q4 2021620.7M USD
Q3 2021541.9M USD
Q2 2021516.1M USD
Q1 2021524.8M USD
Q4 2020649.9M USD
Q3 2020575.9M USD
Q2 2020513.6M USD

Source

Data: public market data feeds.

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