Kyrgyzstan Exports

Kyrgyzstan · Monthly series · EC-KG-EXP

Latest, August 2026

611.9M USD

+5.3% from July 2026

Open interactive chartKyrgyzstan Exports in the app

824M443.9M63.82MSeptember 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 340.0M USD, with an 80% interval of 63.8M USD to 824.0M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 2026489.9M USD212.1M USD727.4M USD
October 2026363.6M USD261.0M USD523.9M USD
November 2026309.2M USD236.7M USD451.8M USD
December 2026306.3M USD197.4M USD525.7M USD
January 2027182.2M USD132.1M USD330.6M USD
February 2027198.5M USD111.7M USD418.7M USD
March 2027221.3M USD173.2M USD342.1M USD
April 2027228.3M USD138.8M USD461.7M USD
May 2027224.4M USD127.6M USD485.5M USD
June 2027268.1M USD100.4M USD659.6M USD
July 2027345.9M USD80.8M USD798.2M USD
August 2027340.0M USD63.8M USD824.0M 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
+32%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
73%No clear edge over a coin flip (105 of 144 calls right in 12 tests)
Turning points
51 of 77Anticipated most turns (77 turns in 12 tests, 0 without a turn)
Error vs baseline
32% lowerError ratio 0.68; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 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

That is the highest of the 120 readings since September 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
August 2026611.9M USD
July 2026581.1M USD
June 2026209.5M USD
May 2026162.1M USD
April 2026187.6M USD
March 2026182.6M USD
February 2026160.6M USD
January 2026147.6M USD
December 2025212.3M USD
November 2025183.8M USD
October 2025252.0M USD
September 2025358.7M USD
August 2025241.0M USD
July 2025400.6M USD
June 2025214.6M USD
May 2025105.1M USD
April 2025223.6M USD
March 2025192.9M USD
February 2025171.7M USD
January 2025142.2M USD
December 2024321.4M USD
November 2024352.6M USD
October 2024370.7M USD
September 2024589.5M USD

Source

Data: public market data feeds.

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