AgenticInvestor

Venezuela Core Consumer Prices

Venezuela · Monthly series · EC-VE-CCP

Latest, December 2013

594.3 pts

+2.1% from November 2013

Open interactive chartVenezuela Core Consumer Prices in the app

1274661.649.1January 2004December 2014
History through December 2013, the forecast path to December 2014 (dashed) and its 80% interval (shaded).

Forecast

Forecast for December 2014: 789.8 pts, with an 80% interval of 327.8 pts to 1,274.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
January 2014611.4 pts600.8 pts624.6 pts
February 2014628.4 pts587.0 pts677.6 pts
March 2014643.2 pts595.7 pts698.8 pts
April 2014660.1 pts578.6 pts749.9 pts
May 2014677.0 pts542.2 pts822.3 pts
June 2014696.1 pts513.1 pts899.1 pts
July 2014710.9 pts488.5 pts939.5 pts
August 2014724.8 pts484.8 pts968.4 pts
September 2014741.1 pts493.5 pts998.8 pts
October 2014759.1 pts472.4 pts1,063.6 pts
November 2014774.3 pts424.7 pts1,153.1 pts
December 2014789.8 pts327.8 pts1,274.2 pts

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
+58%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
100%Beats a coin flip (144 of 144 calls right in 12 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 12 tests, 12 without a turn)
Error vs baseline
58% lowerError ratio 0.42; 1.00 is a tie.
Tests won
12 / 12Complete rolling backtests; ties count as no win.
Test period
2002-01-01 to 2013-12-0112 observations ahead per test.
80% band coverage
77%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 January 2004.

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
December 2013594.3 pts
November 2013582.3 pts
October 2013565.6 pts
September 2013531.0 pts
August 2013511.4 pts
July 2013491.0 pts
June 2013472.9 pts
May 2013450.5 pts
April 2013423.9 pts
March 2013407.3 pts
February 2013395.5 pts
January 2013382.9 pts
December 2012370.5 pts
November 2012361.3 pts
October 2012353.1 pts
September 2012348.2 pts
August 2012343.0 pts
July 2012339.4 pts
June 2012336.3 pts
May 2012329.7 pts
April 2012323.5 pts
March 2012318.3 pts
February 2012313.7 pts
January 2012309.9 pts

Source

Data: public market data feeds.

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