AgenticInvestor

Japan Job Advertisements

Japan · Monthly series · EC-JP-JA

Latest, March 2018

378,966.0 pts

+6.2% from February 2018

Open interactive chartJapan Job Advertisements in the app

527.8K321.8K115.9KApril 2008March 2019
History through March 2018, the forecast path to March 2019 (dashed) and its 80% interval (shaded).

Forecast

Forecast for March 2019: 370,410.9 pts, with an 80% interval of 318,056.7 pts to 421,723.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
April 2018353,545.3 pts319,813.1 pts388,123.2 pts
May 2018299,360.8 pts266,821.9 pts332,541.0 pts
June 2018316,487.1 pts287,098.5 pts345,494.0 pts
July 2018337,978.4 pts304,305.3 pts371,095.4 pts
August 2018281,190.0 pts217,352.6 pts343,979.5 pts
September 2018347,927.9 pts297,968.9 pts397,205.0 pts
October 2018358,289.5 pts327,158.5 pts390,399.1 pts
November 2018326,449.5 pts282,206.2 pts370,604.5 pts
December 2018261,158.4 pts231,271.9 pts290,390.6 pts
January 2019307,051.8 pts269,273.4 pts341,490.5 pts
February 2019331,476.0 pts265,494.0 pts395,698.1 pts
March 2019370,410.9 pts318,056.7 pts421,723.7 pts

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

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

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 74% of the 119 earlier readings since April 2008.

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
March 2018378,966.0 pts
February 2018356,975.0 pts
January 2018344,509.0 pts
December 2017304,441.0 pts
November 2017355,899.0 pts
October 2017400,407.0 pts
September 2017390,750.0 pts
August 2017284,164.0 pts
July 2017394,781.0 pts
June 2017362,563.0 pts
May 2017351,586.0 pts
April 2017394,658.0 pts
March 2017420,553.0 pts
February 2017402,053.0 pts
January 2017388,868.0 pts
December 2016325,005.0 pts
November 2016399,145.0 pts
October 2016491,349.0 pts
September 2016412,293.0 pts
August 2016390,960.0 pts
July 2016387,088.0 pts
June 2016384,446.0 pts
May 2016387,606.0 pts
April 2016441,199.0 pts

Source

Data: public market data feeds.

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