Swaziland Current Account

Swaziland · Quarterly series · EC-SZ-CA

Latest, Q1 2026

414.40M SZL

+2.7% from Q4 2025

Open interactive chartSwaziland Current Account in the app

3.613B79.2M-3.454BQ4 2003Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 418.56M SZL, with an 80% interval of -1.14B SZL to 2.21B SZL.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2026402.81M SZL-1.13B SZL2.06B SZL
Q3 2026413.90M SZL-897.39M SZL1.86B SZL
Q4 2026417.03M SZL-188.52M SZL1.10B SZL
Q1 2027418.56M SZL-1.14B SZL2.21B SZL

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
+25%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
81%No clear edge over a coin flip (26 of 32 calls right in 8 tests)
Turning points
5 of 14Anticipated some turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
25% lowerError ratio 0.75; 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

It is above 41% 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 2026414.40M SZL
Q4 2025403.50M SZL
Q3 2025-153.60M SZL
Q2 2025259.80M SZL
Q1 20251.85B SZL
Q4 2024683.40M SZL
Q3 202461.70M SZL
Q2 20242.80M SZL
Q1 2024613.40M SZL
Q4 202350.30M SZL
Q3 20231.53B SZL
Q2 2023507.90M SZL
Q1 2023-144.80M SZL
Q4 2022273.90M SZL
Q3 2022301.30M SZL
Q2 2022-1.89B SZL
Q1 2022-797.40M SZL
Q4 20211.53B SZL
Q3 2021440.50M SZL
Q2 2021528.40M SZL
Q1 2021-620.30M SZL
Q4 2020-198.00M SZL
Q3 20201.61B SZL
Q2 20202.29B SZL

Source

Data: public market data feeds.

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