Paraguay Money Supply M0

Paraguay · Monthly series · EC-PY-M0

Latest, September 2026

20.20T PYG

+0.9% from August 2026

Open interactive chartParaguay Money Supply M0 in the app

22.6T16.09T9.588TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 21.12T PYG, with an 80% interval of 20.39T PYG to 21.91T PYG.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202620.21T PYG19.88T PYG20.55T PYG
November 202620.47T PYG20.26T PYG20.71T PYG
December 202622.28T PYG22.03T PYG22.60T PYG
January 202721.22T PYG20.66T PYG21.85T PYG
February 202720.96T PYG20.55T PYG21.41T PYG
March 202720.99T PYG20.53T PYG21.50T PYG
April 202721.07T PYG20.25T PYG21.98T PYG
May 202720.97T PYG20.40T PYG21.61T PYG
June 202721.07T PYG20.29T PYG21.92T PYG
July 202721.08T PYG20.26T PYG21.99T PYG
August 202721.10T PYG20.23T PYG22.04T PYG
September 202721.12T PYG20.39T PYG21.91T PYG

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
+61%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
96%Beats a coin flip (138 of 144 calls right in 12 tests)
Turning points
54 of 68Anticipated most turns (68 turns in 12 tests, 0 without a turn)
Error vs baseline
61% lowerError ratio 0.39; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 94% 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 202620.20T PYG
August 202620.02T PYG
July 202620.03T PYG
June 202620.26T PYG
May 202620.23T PYG
April 202620.12T PYG
March 202620.38T PYG
February 202620.28T PYG
January 202620.61T PYG
December 202521.74T PYG
November 202519.82T PYG
October 202519.62T PYG
September 202519.79T PYG
August 202519.71T PYG
July 202519.71T PYG
June 202519.58T PYG
May 202519.64T PYG
April 202519.55T PYG
March 202519.34T PYG
February 202519.42T PYG
January 202519.59T PYG
December 202420.81T PYG
November 202418.65T PYG
October 202418.28T PYG

Source

Data: public market data feeds.

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