Ethereum
Crypto · Monthly series · CR-ETHUSD
Latest, October 2026
2.3K USD
-16.1% from September 2026
Forecast
Forecast for October 2027: 1.7K USD, with an 80% interval of 423 USD to 3.6K USD.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| November 2026 | 2.1K USD | 1.3K USD | 3.0K USD |
| December 2026 | 2.1K USD | 1.2K USD | 3.1K USD |
| January 2027 | 2.0K USD | 970 USD | 3.4K USD |
| February 2027 | 1.9K USD | 1.2K USD | 3.0K USD |
| March 2027 | 1.9K USD | 839 USD | 3.4K USD |
| April 2027 | 1.9K USD | 923 USD | 3.2K USD |
| May 2027 | 1.8K USD | 855 USD | 3.3K USD |
| June 2027 | 1.8K USD | 230 USD | 4.2K USD |
| July 2027 | 1.8K USD | 719 USD | 3.5K USD |
| August 2027 | 1.8K USD | 160 USD | 4.2K USD |
| September 2027 | 1.7K USD | 380 USD | 3.8K USD |
| October 2027 | 1.7K USD | 423 USD | 3.6K USD |
AI confidence
Mixed evidenceThe 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-13 against the cached history through 2026-10-01.
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
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.
| Model | Class and compute | Older tests | Recent tests | Role |
|---|---|---|---|---|
| ci-proto (foundation model) | Foundation model · CPU | 0.92 | 0.83 | Serving |
| Naive forecast (last value held) | Benchmark · CPU | 1.00 | 1.00 | Benchmark |
| AutoETS (statistical) | Statistical · CPU | 1.00 | 1.00 | Tested |
| Timestral (foundation model) | Foundation model · CPU | 1.08 | 0.99 | Tested |
| N-HiTS (neural network) | Neural network · CPU | 2.75 | 2.72 | Tested |
| CatBoost (machine learning) | Machine learning · CPU | 3.09 | 1.15 | Tested |
Reading
It is above 67% of the 119 earlier readings since November 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| October 2026 | 2.3K USD |
| September 2026 | 2.7K USD |
| August 2026 | 2.5K USD |
| July 2026 | 1.9K USD |
| June 2026 | 1.6K USD |
| May 2026 | 2.0K USD |
| April 2026 | 2.3K USD |
| March 2026 | 2.1K USD |
| February 2026 | 2.0K USD |
| January 2026 | 2.4K USD |
| December 2025 | 3.0K USD |
| November 2025 | 3.0K USD |
| October 2025 | 3.8K USD |
| September 2025 | 4.1K USD |
| August 2025 | 4.4K USD |
| July 2025 | 3.7K USD |
| June 2025 | 2.5K USD |
| May 2025 | 2.5K USD |
| April 2025 | 1.8K USD |
| March 2025 | 1.8K USD |
| February 2025 | 2.2K USD |
| January 2025 | 3.3K USD |
| December 2024 | 3.3K USD |
| November 2024 | 3.7K USD |
Source
Data: public market data feeds.
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