AgenticInvestor

Russia Crude Oil Production

Russia · Monthly series · EC-RU-COP

Latest, July 2026

9,512,130.5 pts

-0.7% from June 2026

Open interactive chartRussia Crude Oil Production in the app

11.05M9.834M8.617MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 9,405,086.0 pts, with an 80% interval of 8,617,081.3 pts to 10,062,720.6 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20269,479,696.0 pts9,369,225.6 pts9,611,045.2 pts
September 20269,483,760.0 pts9,255,773.0 pts9,740,014.5 pts
October 20269,519,293.0 pts9,077,708.7 pts9,968,540.7 pts
November 20269,548,344.0 pts9,087,290.5 pts9,989,018.3 pts
December 20269,561,030.0 pts9,037,422.7 pts10,046,051.3 pts
January 20279,558,660.0 pts9,067,710.4 pts9,996,028.5 pts
February 20279,538,780.0 pts9,089,238.3 pts9,930,554.9 pts
March 20279,516,399.0 pts9,096,030.5 pts9,877,916.2 pts
April 20279,487,106.0 pts8,894,291.9 pts9,982,049.2 pts
May 20279,449,426.0 pts8,843,745.9 pts9,952,537.2 pts
June 20279,416,036.0 pts8,695,677.3 pts10,020,689.6 pts
July 20279,405,086.0 pts8,617,081.3 pts10,062,720.6 pts

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

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+5%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
66%No clear edge over a coin flip (95 of 144 calls right in 12 tests)
Turning points
11 of 57Anticipated some turns (57 turns in 12 tests, 0 without a turn)
Error vs baseline
5% lowerError ratio 0.95; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
85%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 3% of the 119 earlier readings since August 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
July 20269,512,130.5 pts
June 20269,582,001.1 pts
May 20269,716,800.0 pts
April 20269,826,600.0 pts
March 20269,976,400.0 pts
February 20269,976,300.0 pts
January 202610,026,400.0 pts
December 202510,026,548.6 pts
November 202510,106,181.9 pts
October 202510,073,948.6 pts
September 20259,945,748.6 pts
August 20259,803,081.9 pts
July 20259,813,381.9 pts
June 20259,783,252.5 pts
May 20259,818,123.1 pts
April 20259,852,993.7 pts
March 20259,794,764.3 pts
February 20259,794,700.0 pts
January 20259,804,600.0 pts
December 20249,804,764.3 pts
November 20249,784,424.4 pts
October 20249,730,167.8 pts
September 20249,676,991.5 pts
August 20249,679,396.6 pts

Source

Data: public market data feeds.

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