Poland Money Supply M2

Poland · Monthly series · EC-PL-M2

Latest, May 2025

2.57T PLN

+0.9% from April 2025

Open interactive chartPoland Money Supply M2 in the app

2.893T1.985T1.078TJune 2015May 2026
History through May 2025, the forecast path to May 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for May 2026: 2.76T PLN, with an 80% interval of 2.63T PLN to 2.89T PLN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
June 20252.58T PLN2.55T PLN2.61T PLN
July 20252.60T PLN2.57T PLN2.63T PLN
August 20252.62T PLN2.57T PLN2.67T PLN
September 20252.63T PLN2.57T PLN2.70T PLN
October 20252.65T PLN2.58T PLN2.73T PLN
November 20252.67T PLN2.59T PLN2.75T PLN
December 20252.68T PLN2.60T PLN2.77T PLN
January 20262.69T PLN2.63T PLN2.76T PLN
February 20262.71T PLN2.63T PLN2.81T PLN
March 20262.73T PLN2.63T PLN2.83T PLN
April 20262.74T PLN2.64T PLN2.86T PLN
May 20262.76T PLN2.63T PLN2.89T PLN

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

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
+60%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
97%Beats a coin flip (139 of 144 calls right in 12 tests)
Turning points
0 of 44Anticipated no turn, as the no-change baseline does (44 turns in 12 tests, 0 without a turn)
Error vs baseline
60% lowerError ratio 0.40; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2013-06-01 to 2025-05-0112 observations ahead per test.
80% band coverage
79%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

That is the highest of the 120 readings since June 2015.

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
May 20252.57T PLN
April 20252.54T PLN
March 20252.51T PLN
February 20252.49T PLN
January 20252.47T PLN
December 20242.48T PLN
November 20242.43T PLN
October 20242.41T PLN
September 20242.38T PLN
August 20242.36T PLN
July 20242.35T PLN
June 20242.34T PLN
May 20242.33T PLN
April 20242.31T PLN
March 20242.28T PLN
February 20242.29T PLN
January 20242.26T PLN
December 20232.27T PLN
November 20232.24T PLN
October 20232.24T PLN
September 20232.23T PLN
August 20232.19T PLN
July 20232.17T PLN
June 20232.16T PLN

Source

Data: public market data feeds.

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