AgenticInvestor

Poland Export Prices

Poland · Monthly series · EC-PL-EP

Latest, June 2026

95.5 pts

+3.4% from May 2026

Open interactive chartPoland Export Prices in the app

123.3103.884.2July 2016June 2027
History through June 2026, the forecast path to June 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for June 2027: 97.9 pts, with an 80% interval of 92.8 pts to 104.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
July 202697.3 pts90.1 pts104.8 pts
August 202697.0 pts87.7 pts106.5 pts
September 202694.9 pts90.2 pts100.0 pts
October 202695.3 pts91.2 pts99.8 pts
November 202696.2 pts91.0 pts101.9 pts
December 202698.4 pts87.1 pts111.6 pts
January 202798.1 pts91.1 pts106.5 pts
February 202797.0 pts87.7 pts108.1 pts
March 202797.3 pts88.0 pts108.5 pts
April 202798.2 pts88.4 pts110.3 pts
May 202798.8 pts91.4 pts107.9 pts
June 202797.9 pts92.8 pts104.4 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
-4%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
55%No clear edge over a coin flip (78 of 143 calls right in 12 tests)
Turning points
51 of 72Anticipated most turns (72 turns in 12 tests, 0 without a turn)
Error vs baseline
4% higherError ratio 1.04; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-07-01 to 2026-06-0112 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 19% of the 119 earlier readings since July 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
June 202695.5 pts
May 202692.4 pts
April 202693.6 pts
March 202697.3 pts
February 202695.7 pts
January 202692.9 pts
December 202590.7 pts
November 202596.4 pts
October 202595.5 pts
September 2025101.0 pts
August 202591.2 pts
July 202595.3 pts
June 202598.9 pts
May 202598.0 pts
April 202596.2 pts
March 202593.1 pts
February 202593.1 pts
January 202596.8 pts
December 2024102.6 pts
November 202498.8 pts
October 202494.4 pts
September 202491.1 pts
August 202496.6 pts
July 2024101.5 pts

Source

Data: public market data feeds.

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