Ethereum

Crypto · Monthly series · CR-ETHUSD

Latest, October 2026

2.3K USD

-16.1% from September 2026

Open interactive chartEthereum in the app

463223208.07November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 1.7K USD, with an 80% interval of 423 USD to 3.6K USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20262.1K USD1.3K USD3.0K USD
December 20262.1K USD1.2K USD3.1K USD
January 20272.0K USD970 USD3.4K USD
February 20271.9K USD1.2K USD3.0K USD
March 20271.9K USD839 USD3.4K USD
April 20271.9K USD923 USD3.2K USD
May 20271.8K USD855 USD3.3K USD
June 20271.8K USD230 USD4.2K USD
July 20271.8K USD719 USD3.5K USD
August 20271.8K USD160 USD4.2K USD
September 20271.7K USD380 USD3.8K USD
October 20271.7K USD423 USD3.6K USD

Model: State-space model, 167M (foundation model). Forecast generated 2026-11-13.

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
+17%Beats the no-change baseline over 6 tests (6 tests, 2 won)
Direction
50%No clear edge over a coin flip (36 of 72 calls right in 6 tests)
Turning points
2 of 27Anticipated some turns (27 turns in 6 tests, 0 without a turn)
Error vs baseline
17% lowerError ratio 0.83; 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 2 older tests (0.92) and was chosen. The 6 recent tests played no part in the choice and give its grade (0.83). That grade beats the naive forecast. 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, Neural network, Machine learning.

Every model tested on this series.
ModelClass and computeOlder testsRecent testsRole
ci-proto (foundation model)Foundation model · CPU0.920.83Serving
Naive forecast (last value held)Benchmark · CPU1.001.00Benchmark
AutoETS (statistical)Statistical · CPU1.001.00Tested
Timestral (foundation model)Foundation model · CPU1.080.99Tested
N-HiTS (neural network)Neural network · CPU2.752.72Tested
CatBoost (machine learning)Machine learning · CPU3.091.15Tested

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 67% 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 20262.3K USD
September 20262.7K USD
August 20262.5K USD
July 20261.9K USD
June 20261.6K USD
May 20262.0K USD
April 20262.3K USD
March 20262.1K USD
February 20262.0K USD
January 20262.4K USD
December 20253.0K USD
November 20253.0K USD
October 20253.8K USD
September 20254.1K USD
August 20254.4K USD
July 20253.7K USD
June 20252.5K USD
May 20252.5K USD
April 20251.8K USD
March 20251.8K USD
February 20252.2K USD
January 20253.3K USD
December 20243.3K USD
November 20243.7K USD

Source

Data: public market data feeds.

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