AgenticInvestor

Tanzania GDP From Public Administration

Tanzania · Quarterly series · EC-TZ-GDPPA

Latest, Q2 2026

2.34T TZS

-1.1% from Q1 2026

Open interactive chartTanzania GDP From Public Administration in the app

2.714T1.566T419.2BQ1 2005Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 2.37T TZS, with an 80% interval of 1.73T TZS to 2.71T TZS.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20262.33T TZS1.98T TZS2.60T TZS
Q4 20262.35T TZS1.87T TZS2.68T TZS
Q1 20272.35T TZS2.05T TZS2.54T TZS
Q2 20272.37T TZS1.73T TZS2.71T TZS

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
+18%Beats the no-change baseline over 8 tests (8 tests, 8 won)
Direction
97%Beats a coin flip (31 of 32 calls right in 8 tests)
Turning points
1 of 12Anticipated some turns (12 turns in 8 tests, 1 without a turn)
Error vs baseline
18% lowerError ratio 0.82; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 95% of the 39 earlier readings since Q3 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
Q2 20262.34T TZS
Q1 20262.36T TZS
Q4 20252.34T TZS
Q3 20251.81T TZS
Q2 20251.62T TZS
Q1 20251.70T TZS
Q4 20241.76T TZS
Q3 20241.75T TZS
Q2 20241.64T TZS
Q1 20241.65T TZS
Q4 20231.62T TZS
Q3 20231.64T TZS
Q2 20231.54T TZS
Q1 20231.52T TZS
Q4 20221.53T TZS
Q3 20221.56T TZS
Q2 20221.47T TZS
Q1 20221.47T TZS
Q4 20211.46T TZS
Q3 20211.47T TZS
Q2 20211.40T TZS
Q1 20211.39T TZS
Q4 20201.36T TZS
Q3 20201.38T TZS

Source

Data: public market data feeds.

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