Venezuela Money Supply M0

Venezuela · Monthly series · EC-VE-M0

Latest, September 2026

1.84B VES

+4.9% from August 2026

Open interactive chartVenezuela Money Supply M0 in the app

11.7B2.862B-5.974BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 3.07B VES, with an 80% interval of -5.91B VES to 11.70B VES.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20261.92B VES1.39B VES2.62B VES
November 20262.06B VES1.33B VES2.85B VES
December 20262.22B VES1.13B VES3.39B VES
January 20272.31B VES838.23M VES3.77B VES
February 20272.46B VES697.90M VES4.05B VES
March 20272.57B VES169.41M VES4.56B VES
April 20272.72B VES-1.64B VES6.06B VES
May 20272.76B VES-2.86B VES6.99B VES
June 20272.84B VES-5.26B VES9.05B VES
July 20272.99B VES-5.97B VES10.21B VES
August 20273.00B VES-5.42B VES10.72B VES
September 20273.07B VES-5.91B VES11.70B VES

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

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
+28%Beats the no-change baseline over 12 tests (12 tests, 6 won)
Direction
76%No clear edge over a coin flip (73 of 96 calls right in 8 tests)
Turning points
4 of 23Anticipated some turns (23 turns in 12 tests, 4 without a turn)
Error vs baseline
28% lowerError ratio 0.72; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 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 20261.84B VES
August 20261.76B VES
July 20261.46B VES
June 20261.41B VES
May 20261.45B VES
April 20261.26B VES
March 20261.05B VES
February 2026938.55M VES
January 2026839.64M VES
December 2025689.82M VES
November 2025524.10M VES
October 2025405.59M VES
September 2025366.33M VES
August 2025306.13M VES
July 2025269.00M VES
June 2025226.83M VES
May 2025187.85M VES
April 2025168.10M VES
March 2025138.44M VES
February 2025125.07M VES
January 2025117.26M VES
December 2024101.43M VES
November 202484.37M VES
October 202472.83M VES

Source

Data: public market data feeds.

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