Palestine GDP From Construction

Palestine · Quarterly series · EC-PS-GDPC

Latest, Q2 2026

129.6M USD

+34.0% from Q1 2026

Open interactive chartPalestine GDP From Construction in the app

300.8M149.2M-2.467MQ1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 130.2M USD, with an 80% interval of -2.5M USD to 267.6M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026129.0M USD99.3M USD158.4M USD
Q4 2026129.1M USD33.2M USD225.4M USD
Q1 2027129.0M USD73.3M USD186.7M USD
Q2 2027130.2M USD-2.5M USD267.6M 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
-3%Matches the no-change baseline over 8 tests (8 tests, 3 won)
Direction
34%No clear edge over a coin flip (11 of 32 calls right in 8 tests)
Turning points
4 of 10Anticipated some turns (10 turns in 8 tests, 0 without a turn)
Error vs baseline
3% higherError ratio 1.03; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
78%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 26% 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 2026129.6M USD
Q1 202696.7M USD
Q4 2025117.0M USD
Q3 2025124.4M USD
Q2 2025137.3M USD
Q1 202561.9M USD
Q4 202474.0M USD
Q3 202468.0M USD
Q2 202464.4M USD
Q1 202484.4M USD
Q4 2023111.1M USD
Q3 2023170.0M USD
Q2 2023163.5M USD
Q1 2023174.3M USD
Q4 2022180.4M USD
Q3 2022173.4M USD
Q2 2022169.9M USD
Q1 2022175.9M USD
Q4 2021189.5M USD
Q3 2021176.0M USD
Q2 2021169.2M USD
Q1 2021172.2M USD
Q4 2020162.3M USD
Q3 2020150.5M USD

Source

Data: public market data feeds.

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