AgenticInvestor

Iran Crude Oil Rigs

Iran · Monthly series · EC-IR-COR

Latest, September 2026

117.0 pts

+0.0% from August 2026

Open interactive chartIran Crude Oil Rigs in the app

1579431December 2003September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 116.9 pts, with an 80% interval of 116.9 pts to 117.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026116.9 pts116.9 pts117.0 pts
November 2026116.9 pts116.9 pts117.0 pts
December 2026117.0 pts116.9 pts117.0 pts
January 2027117.0 pts116.9 pts117.0 pts
February 2027117.0 pts116.9 pts117.0 pts
March 2027117.0 pts116.9 pts117.0 pts
April 2027116.9 pts116.9 pts117.0 pts
May 2027116.9 pts116.9 pts117.0 pts
June 2027116.9 pts116.9 pts117.0 pts
July 2027116.9 pts116.9 pts117.0 pts
August 2027116.9 pts116.9 pts117.0 pts
September 2027116.9 pts116.9 pts117.0 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Limited evidence

At least 6 complete tests are required; 4 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (4 tests, 6 needed) (4 tests, 0 won)
Direction
n/aToo few tests (4 tests, 6 needed) (0 of 0 calls right in 0 tests)
Turning points
n/aToo few tests (4 tests, 6 needed) (0 turns in 4 tests, 0 without a turn)
Error vs baseline
Not comparableThe baseline made no errors in these tests.
Tests won
0 / 4Complete rolling backtests; ties count as no win.
Test period
2022-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
75%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

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 0% of the 94 earlier readings since December 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
September 2026117.0 pts
August 2026117.0 pts
July 2026117.0 pts
June 2026117.0 pts
May 2026117.0 pts
April 2026117.0 pts
March 2026117.0 pts
February 2026117.0 pts
January 2026117.0 pts
December 2025117.0 pts
November 2025117.0 pts
October 2025117.0 pts
September 2025117.0 pts
August 2025117.0 pts
July 2025117.0 pts
June 2025117.0 pts
May 2025117.0 pts
April 2025117.0 pts
March 2025117.0 pts
February 2025117.0 pts
January 2025117.0 pts
December 2024117.0 pts
November 2024117.0 pts
October 2024117.0 pts

Source

Data: public market data feeds.

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