Corn/Mais Futures

Agriculture · Monthly series · CM-EMA1.EURONEXT

Latest, October 2026

258.75 EUR/TNE

-2.1% from September 2026

Open interactive chartCorn/Mais Futures in the app

349.2241.6133.9November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 236.84 EUR/TNE, with an 80% interval of 133.91 EUR/TNE to 344.28 EUR/TNE.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026256.10 EUR/TNE240.75 EUR/TNE271.83 EUR/TNE
December 2026255.03 EUR/TNE229.15 EUR/TNE281.98 EUR/TNE
January 2027254.30 EUR/TNE202.61 EUR/TNE308.31 EUR/TNE
February 2027253.34 EUR/TNE206.92 EUR/TNE298.51 EUR/TNE
March 2027250.92 EUR/TNE214.22 EUR/TNE286.38 EUR/TNE
April 2027248.64 EUR/TNE196.30 EUR/TNE300.25 EUR/TNE
May 2027247.20 EUR/TNE159.87 EUR/TNE331.74 EUR/TNE
June 2027244.85 EUR/TNE181.20 EUR/TNE308.03 EUR/TNE
July 2027242.84 EUR/TNE174.26 EUR/TNE311.62 EUR/TNE
August 2027239.99 EUR/TNE146.00 EUR/TNE335.55 EUR/TNE
September 2027238.31 EUR/TNE144.66 EUR/TNE333.77 EUR/TNE
October 2027236.84 EUR/TNE133.91 EUR/TNE344.28 EUR/TNE

Model: State-space model, 167M (foundation model). Forecast generated 2026-11-14.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: State-space model, 167M (foundation model)

Accuracy vs naive
0%Matches the no-change baseline over 6 tests (6 tests, 2 won)
Direction
47%No clear edge over a coin flip (34 of 72 calls right in 6 tests)
Turning points
5 of 23Anticipated some turns (23 turns in 6 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
2 / 6Complete recent tests excluded from model selection; ties count as no win.
Test period
2020-11-01 to 2026-10-0112 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

5 of 5 models evaluatedModels are selected on older tests and evaluated on separate recent tests. All four classes completed their backtests.

Models tested

State-space model, 167M scored lowest on the 6 older tests (0.89) and was chosen. The 6 recent tests played no part in the choice and give its grade (1.00). The search for a model that beats the naive forecast on both sets of tests goes on. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.

4 model classes completed the tests: Foundation model, Statistical, Machine learning, Neural network.

Every model tested on this series.
ModelClass and computeOlder testsRecent testsRole
State-space model, 167M (foundation model)Foundation model · CPU0.891.00Serving
Agentic Investor TSFM (foundation model)Foundation model · CPU0.960.99Tested
Naive forecast (last value held)Benchmark · CPU1.001.00Benchmark
Exponential smoothing (statistical)Statistical · CPU1.001.00Tested
Gradient-boosted trees (machine learning)Machine learning · CPU1.340.71Tested
Hierarchical neural network (neural network)Neural network · CPU3.041.20Tested

Uses ci-proto, released by Continuous Intelligence. Continuous Intelligence does not endorse or approve this product or service. (ci-proto is shown as State-space model, 167M.)

Reading

It is above 87% 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 2026258.75 EUR/TNE
September 2026264.25 EUR/TNE
August 2026269.75 EUR/TNE
July 2026242.75 EUR/TNE
June 2026236.00 EUR/TNE
May 2026227.00 EUR/TNE
April 2026223.50 EUR/TNE
March 2026209.50 EUR/TNE
February 2026197.25 EUR/TNE
January 2026193.25 EUR/TNE
December 2025188.25 EUR/TNE
November 2025187.50 EUR/TNE
October 2025187.75 EUR/TNE
September 2025181.25 EUR/TNE
August 2025189.00 EUR/TNE
July 2025194.75 EUR/TNE
June 2025195.25 EUR/TNE
May 2025193.75 EUR/TNE
April 2025199.50 EUR/TNE
March 2025211.75 EUR/TNE
February 2025217.25 EUR/TNE
January 2025215.50 EUR/TNE
December 2024209.75 EUR/TNE
November 2024203.75 EUR/TNE

Source

Data: public market data feeds.

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