Israel Fiscal Expenditure

Israel · Monthly series · EC-IL-FE

Latest, October 2026

64.53B ILS

+13.1% from September 2026

Open interactive chartIsrael Fiscal Expenditure in the app

86.68B55.65B24.61BNovember 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 62.83B ILS, with an 80% interval of 44.58B ILS to 83.15B ILS.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202655.94B ILS48.16B ILS64.20B ILS
December 202677.51B ILS70.75B ILS86.68B ILS
January 202748.73B ILS36.86B ILS62.71B ILS
February 202754.26B ILS48.96B ILS59.94B ILS
March 202764.14B ILS59.11B ILS69.95B ILS
April 202758.31B ILS45.55B ILS71.97B ILS
May 202758.97B ILS47.82B ILS71.00B ILS
June 202757.57B ILS51.44B ILS64.30B ILS
July 202759.71B ILS52.97B ILS66.89B ILS
August 202757.58B ILS53.44B ILS62.14B ILS
September 202760.28B ILS47.99B ILS73.59B ILS
October 202762.83B ILS44.58B ILS83.15B ILS

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
+34%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
79%Beats a coin flip (114 of 144 calls right in 12 tests)
Turning points
81 of 92Anticipated most turns (92 turns in 12 tests, 0 without a turn)
Error vs baseline
34% lowerError ratio 0.66; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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

It is above 97% of the 119 earlier readings since November 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
October 202664.53B ILS
September 202657.06B ILS
August 202655.91B ILS
July 202659.91B ILS
June 202654.23B ILS
May 202656.48B ILS
April 202653.92B ILS
March 202656.67B ILS
February 202650.02B ILS
January 202642.86B ILS
December 202572.27B ILS
November 202549.13B ILS
October 202558.62B ILS
September 202555.96B ILS
August 202553.42B ILS
July 202552.86B ILS
June 202552.14B ILS
May 202552.94B ILS
April 202559.48B ILS
March 202557.66B ILS
February 202545.65B ILS
January 202540.23B ILS
December 202466.99B ILS
November 202450.85B ILS

Source

Data: public market data feeds.

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