Copper Futures

Industrial metals · Monthly series · COMEX:HG1!

Latest, October 2026

6.48 USD/LBR

-2.1% from September 2026

Open interactive chartCopper Futures in the terminal

Forecast

No forecast is cached this cycle.

AI confidence

No forecast yet

Evidence will appear when a forecast and its backtests are available.

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

4 of 4 models evaluatedModels are selected on older tests and evaluated on separate recent tests. All four classes completed their backtests.

Models tested

Timestral scored lowest on the 6 older tests (0.99) and was chosen. The 6 recent tests played no part in the choice and give its grade (1.01). 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 / libraryOlder testsRecent testsRole
Timestral (foundation model)Foundation model · Timestral · GPU0.991.01Serving
AutoETS (statistical)Statistical · StatsForecast · CPU1.001.00Tested
Naive forecast (last value held)Benchmark · CPU1.001.00Benchmark
CatBoost (machine learning)Machine learning · MLForecast · CPU1.101.03Tested
N-HiTS (neural network)Neural network · NeuralForecast · CPU1.270.97Tested

Reading

It is above 98% 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 20266.48 USD/LBR
September 20266.62 USD/LBR
August 20266.69 USD/LBR
July 20266.47 USD/LBR
June 20266.25 USD/LBR
May 20266.39 USD/LBR
April 20265.98 USD/LBR
March 20265.61 USD/LBR
February 20266.06 USD/LBR
January 20265.92 USD/LBR
December 20255.68 USD/LBR
November 20255.27 USD/LBR
October 20255.09 USD/LBR
September 20254.86 USD/LBR
August 20254.59 USD/LBR
July 20254.35 USD/LBR
June 20255.08 USD/LBR
May 20254.68 USD/LBR
April 20254.61 USD/LBR
March 20255.03 USD/LBR
February 20254.55 USD/LBR
January 20254.28 USD/LBR
December 20244.03 USD/LBR
November 20244.14 USD/LBR

Source

Data: COMEX feed via TradingView.

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