AgenticInvestor

Venezuela Employed Persons

Venezuela · Monthly series · EC-VE-EMP

Latest, December 2018

15,011,108.0 pts

+2.0% from November 2018

Open interactive chartVenezuela Employed Persons in the app

15.77M13.6M11.43MJanuary 2009December 2019
History through December 2018, the forecast path to December 2019 (dashed) and its 80% interval (shaded).

Forecast

Forecast for December 2019: 15,303,632.0 pts, with an 80% interval of 14,838,764.6 pts to 15,724,636.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
January 201914,645,317.0 pts14,149,418.6 pts15,110,099.6 pts
February 201914,733,480.0 pts14,162,875.6 pts15,276,068.0 pts
March 201914,847,489.0 pts14,613,164.6 pts15,068,567.1 pts
April 201914,938,590.0 pts14,609,115.4 pts15,234,728.8 pts
May 201914,897,584.0 pts14,563,842.0 pts15,202,191.7 pts
June 201915,007,932.0 pts14,604,510.9 pts15,370,495.7 pts
July 201915,025,343.0 pts14,390,842.1 pts15,597,939.8 pts
August 201915,054,624.0 pts14,496,166.2 pts15,546,615.9 pts
September 201915,132,949.0 pts14,638,900.9 pts15,576,612.5 pts
October 201915,177,314.0 pts14,518,459.8 pts15,772,704.0 pts
November 201915,105,404.0 pts14,440,287.4 pts15,697,721.1 pts
December 201915,303,632.0 pts14,838,764.6 pts15,724,636.1 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
+23%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
70%No clear edge over a coin flip (101 of 144 calls right in 12 tests)
Turning points
54 of 72Anticipated most turns (72 turns in 12 tests, 0 without a turn)
Error vs baseline
23% lowerError ratio 0.77; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2007-01-01 to 2018-12-0112 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 January 2009.

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 201815,011,108.0 pts
November 201814,715,518.0 pts
October 201814,893,438.0 pts
September 201814,886,004.0 pts
August 201814,853,779.0 pts
July 201814,654,638.0 pts
June 201814,583,567.0 pts
May 201814,439,020.0 pts
April 201814,351,128.0 pts
March 201814,024,851.0 pts
February 201814,301,693.0 pts
January 201814,584,002.0 pts
December 201714,892,249.0 pts
November 201713,905,795.0 pts
October 201714,391,218.0 pts
September 201714,100,781.0 pts
August 201714,063,118.0 pts
July 201713,982,415.0 pts
June 201714,070,556.0 pts
May 201713,956,713.0 pts
April 201713,869,484.0 pts
March 201713,800,406.0 pts
February 201713,721,664.0 pts
January 201713,400,587.0 pts

Source

Data: public market data feeds.

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