Molybdenum Oxide (Platts) Futures

Industrial metals · Monthly series · CM-MOX1.COMEX

Latest, October 2026

33.43 USD (exchange quote)

-0.5% from September 2026

Open interactive chartMolybdenum Oxide (Platts) Futures in the app

40.4629.1217.78March 2023October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 32.18 USD (exchange quote), with an 80% interval of 24.71 USD (exchange quote) to 40.46 USD (exchange quote).

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202633.42 USD (exchange quote)31.69 USD (exchange quote)35.30 USD (exchange quote)
December 202633.29 USD (exchange quote)30.66 USD (exchange quote)36.21 USD (exchange quote)
January 202733.20 USD (exchange quote)29.67 USD (exchange quote)36.91 USD (exchange quote)
February 202733.08 USD (exchange quote)28.93 USD (exchange quote)37.45 USD (exchange quote)
March 202732.99 USD (exchange quote)28.21 USD (exchange quote)37.97 USD (exchange quote)
April 202732.86 USD (exchange quote)27.57 USD (exchange quote)38.45 USD (exchange quote)
May 202732.76 USD (exchange quote)26.95 USD (exchange quote)38.76 USD (exchange quote)
June 202732.62 USD (exchange quote)26.49 USD (exchange quote)39.27 USD (exchange quote)
July 202732.50 USD (exchange quote)25.99 USD (exchange quote)39.56 USD (exchange quote)
August 202732.42 USD (exchange quote)25.51 USD (exchange quote)39.88 USD (exchange quote)
September 202732.29 USD (exchange quote)25.14 USD (exchange quote)40.15 USD (exchange quote)
October 202732.18 USD (exchange quote)24.71 USD (exchange quote)40.46 USD (exchange quote)

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

AI confidence

Not evaluated

The serving model has no matching evaluation yet.

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 not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 95% of the 43 earlier readings since March 2023.

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 202633.43 USD (exchange quote)
September 202633.60 USD (exchange quote)
August 202633.75 USD (exchange quote)
July 202632.88 USD (exchange quote)
June 202629.98 USD (exchange quote)
May 202629.15 USD (exchange quote)
April 202627.40 USD (exchange quote)
March 202626.31 USD (exchange quote)
February 202626.25 USD (exchange quote)
January 202623.48 USD (exchange quote)
December 202521.45 USD (exchange quote)
November 202522.20 USD (exchange quote)
October 202525.00 USD (exchange quote)
September 202524.85 USD (exchange quote)
August 202524.60 USD (exchange quote)
July 202522.10 USD (exchange quote)
June 202521.00 USD (exchange quote)
May 202520.13 USD (exchange quote)
April 202520.05 USD (exchange quote)
March 202520.25 USD (exchange quote)
February 202520.58 USD (exchange quote)
January 202520.70 USD (exchange quote)
December 202421.68 USD (exchange quote)
November 202421.88 USD (exchange quote)

Source

Data: public market data feeds.

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