Tajikistan Current Account

Tajikistan · Quarterly series · EC-TJ-CA

Latest, Q1 2026

820.2M USD

-18.1% from Q4 2025

Open interactive chartTajikistan Current Account in the app

3.899B445.8M-3.007BQ1 1998Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 142.5M USD, with an 80% interval of -2.87B USD to 3.70B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2026307.8M USD-1.43B USD2.17B USD
Q3 2026448.5M USD-1.25B USD2.07B USD
Q4 2026398.2M USD-3.01B USD3.90B USD
Q1 2027142.5M USD-2.87B USD3.70B 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
+40%Beats the no-change baseline over 8 tests (8 tests, 8 won)
Direction
91%Beats a coin flip (29 of 32 calls right in 8 tests)
Turning points
10 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
40% lowerError ratio 0.60; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2018-06-01 to 2026-03-014 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 97% of the 39 earlier 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 2026820.2M USD
Q4 20251.00B USD
Q3 2025786.5M USD
Q2 2025528.1M USD
Q1 2025-534.9M USD
Q4 20248.4M USD
Q3 2024610.5M USD
Q2 2024267.7M USD
Q1 2024-81.6M USD
Q4 2023666.5M USD
Q3 2023150.6M USD
Q2 2023-27.9M USD
Q1 2023-205.3M USD
Q4 2022747.6M USD
Q3 2022146.9M USD
Q2 2022284.9M USD
Q1 2022-271.7M USD
Q4 2021264.2M USD
Q3 20214.3M USD
Q2 2021-78.4M USD
Q1 2021544.7M USD
Q4 2020-66.8M USD
Q3 2020459.6M USD
Q2 2020-32.7M USD

Source

Data: public market data feeds.

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