Pakistan Gasoline Prices

Pakistan · Monthly series · EC-PK-GASP

Latest, October 2026

1 USD

-2.1% from September 2026

Open interactive chartPakistan Gasoline Prices in the app

1.8731.1920.51November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 1 USD, with an 80% interval of 1 USD to 2 USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20261 USD1 USD1 USD
December 20261 USD1 USD1 USD
January 20271 USD1 USD2 USD
February 20271 USD1 USD2 USD
March 20271 USD1 USD2 USD
April 20271 USD1 USD1 USD
May 20271 USD1 USD1 USD
June 20271 USD1 USD1 USD
July 20271 USD1 USD2 USD
August 20271 USD1 USD2 USD
September 20271 USD1 USD2 USD
October 20271 USD1 USD2 USD

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
+7%Matches the no-change baseline over 8 tests (8 tests, 6 won)
Direction
70%No clear edge over a coin flip (62 of 89 calls right in 8 tests)
Turning points
8 of 40Anticipated some turns (40 turns in 8 tests, 0 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-11-01 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

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 97% 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 20261 USD
September 20261 USD
August 20261 USD
July 20261 USD
June 20261 USD
May 20261 USD
April 20261 USD
March 20261 USD
February 20261 USD
January 20261 USD
December 20251 USD
November 20251 USD
October 20251 USD
September 20251 USD
August 20251 USD
July 20251 USD
June 20251 USD
May 20251 USD
April 20251 USD
March 20251 USD
February 20251 USD
January 20251 USD
December 20241 USD
November 20241 USD

Source

Data: public market data feeds.

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