AgenticInvestor

Kazakhstan Industrial Production YoY

Kazakhstan · Monthly series · EC-KZ-IPYY

Latest, September 2026

3.6%

+2.60pp from August 2026

Open interactive chartKazakhstan Industrial Production YoY in the app

14.42.4-9.6October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 4.4%, with an 80% interval of -2.5% to 11.2%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20263.5%-1.1%8.0%
November 20263.6%-0.7%7.8%
December 20263.8%-1.9%9.4%
January 20273.9%-0.4%8.0%
February 20274.0%-1.0%8.9%
March 20274.2%-1.1%9.3%
April 20274.2%-2.3%10.5%
May 20274.2%-2.9%11.1%
June 20274.3%-2.8%11.2%
July 20274.4%-3.7%12.2%
August 20274.4%-4.4%13.0%
September 20274.4%-2.5%11.2%

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
+16%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
61%No clear edge over a coin flip (88 of 144 calls right in 12 tests)
Turning points
28 of 85Anticipated some turns (85 turns in 12 tests, 0 without a turn)
Error vs baseline
16% lowerError ratio 0.84; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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 45% of the 119 earlier readings since October 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
September 20263.6%
August 20261.0%
July 20260.1%
June 20268.2%
May 20264.7%
April 20269.6%
March 20264.3%
February 20263.2%
January 2026-6.6%
December 20258.1%
November 20258.2%
October 20257.1%
September 20255.2%
August 202512.8%
July 20258.9%
June 20257.2%
May 20255.8%
April 20256.2%
March 20258.5%
February 20259.4%
January 20252.3%
December 20243.8%
November 20243.7%
October 2024-2.0%

Source

Data: public market data feeds.

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