AgenticInvestor

Japan Full Time Employment

Japan · Monthly series · EC-JP-FTE

Latest, September 2026

23,510,000.0 pts

-0.3% from August 2026

Open interactive chartJapan Full Time Employment in the app

24.03M22.39M20.75MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 23,558,744.0 pts, with an 80% interval of 23,206,916.1 pts to 23,913,568.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202623,506,698.0 pts23,430,763.6 pts23,576,258.5 pts
November 202623,492,624.0 pts23,445,620.6 pts23,540,980.8 pts
December 202623,482,856.0 pts23,383,857.0 pts23,579,986.9 pts
January 202723,420,170.0 pts23,166,459.5 pts23,649,727.1 pts
February 202723,347,884.0 pts23,044,972.1 pts23,617,923.8 pts
March 202723,238,088.0 pts22,906,702.9 pts23,588,253.3 pts
April 202723,703,652.0 pts23,422,969.8 pts24,029,427.6 pts
May 202723,677,058.0 pts23,362,733.1 pts24,019,709.6 pts
June 202723,646,996.0 pts23,389,221.8 pts23,927,274.4 pts
July 202723,634,868.0 pts23,348,553.0 pts23,947,113.1 pts
August 202723,593,900.0 pts23,286,715.2 pts23,910,769.8 pts
September 202723,558,744.0 pts23,206,916.1 pts23,913,568.8 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
+19%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
80%Beats a coin flip (114 of 143 calls right in 12 tests)
Turning points
28 of 74Anticipated some turns (74 turns in 12 tests, 0 without a turn)
Error vs baseline
19% lowerError ratio 0.81; 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
81%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 92% 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 202623,510,000.0 pts
August 202623,571,000.0 pts
July 202623,607,000.0 pts
June 202623,638,000.0 pts
May 202623,634,000.0 pts
April 202623,692,000.0 pts
March 202623,133,000.0 pts
February 202623,292,000.0 pts
January 202623,389,000.0 pts
December 202523,534,000.0 pts
November 202523,503,000.0 pts
October 202523,560,000.0 pts
September 202523,495,000.0 pts
August 202523,508,000.0 pts
July 202523,553,000.0 pts
June 202523,537,000.0 pts
May 202523,554,000.0 pts
April 202523,490,000.0 pts
March 202522,953,000.0 pts
February 202523,057,000.0 pts
January 202523,161,000.0 pts
December 202423,346,000.0 pts
November 202423,373,000.0 pts
October 202423,332,000.0 pts

Source

Data: public market data feeds.

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