EUR/JPY

Foreign exchange · Monthly series · FX-EURJPY

Latest, October 2026

176.26 JPY

-1.1% from September 2026

Open interactive chartEUR/JPY in the app

194155.5117November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 176.12 JPY, with an 80% interval of 157.73 JPY to 194.04 JPY.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026175.97 JPY170.36 JPY181.95 JPY
December 2026176.12 JPY169.61 JPY182.99 JPY
January 2027176.00 JPY168.33 JPY183.70 JPY
February 2027176.06 JPY168.53 JPY183.74 JPY
March 2027176.04 JPY169.91 JPY182.23 JPY
April 2027176.13 JPY165.32 JPY186.76 JPY
May 2027176.08 JPY162.34 JPY189.63 JPY
June 2027176.08 JPY158.97 JPY192.88 JPY
July 2027176.00 JPY165.43 JPY186.42 JPY
August 2027176.10 JPY160.44 JPY191.45 JPY
September 2027176.07 JPY161.61 JPY190.11 JPY
October 2027176.12 JPY157.73 JPY194.04 JPY

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-12.

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
0%Matches the no-change baseline over 12 tests (12 tests, 8 won)
Direction
63%No clear edge over a coin flip (91 of 144 calls right in 12 tests)
Turning points
37 of 67Anticipated most turns (67 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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 four classes, subject to call budgets and retry limits.

Reading

It is above 90% of the 119 earlier readings since November 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
October 2026176.26 JPY
September 2026178.27 JPY
August 2026185.56 JPY
July 2026181.49 JPY
June 2026185.63 JPY
May 2026185.71 JPY
April 2026183.71 JPY
March 2026183.29 JPY
February 2026184.29 JPY
January 2026183.35 JPY
December 2025183.96 JPY
November 2025181.04 JPY
October 2025177.65 JPY
September 2025173.50 JPY
August 2025171.84 JPY
July 2025172.06 JPY
June 2025169.60 JPY
May 2025163.45 JPY
April 2025161.90 JPY
March 2025162.13 JPY
February 2025156.22 JPY
January 2025160.72 JPY
December 2024162.76 JPY
November 2024158.35 JPY

Source

Data: public market data feeds.

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