AgenticInvestor

Nepal Imports

Nepal · Monthly series · EC-NP-IMP

Latest, August 2026

214.08B NPR

+14.2% from July 2026

Open interactive chartNepal Imports in the app

299.7B-680.7B-1.661TSeptember 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 209.16B NPR, with an 80% interval of 141.00B NPR to 282.41B NPR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 2026206.91B NPR170.25B NPR240.27B NPR
October 2026206.07B NPR181.22B NPR230.26B NPR
November 2026206.44B NPR169.35B NPR244.49B NPR
December 2026206.38B NPR167.98B NPR246.13B NPR
January 2027206.67B NPR169.93B NPR246.21B NPR
February 2027206.95B NPR171.31B NPR245.12B NPR
March 2027207.22B NPR146.55B NPR272.69B NPR
April 2027207.54B NPR148.25B NPR268.19B NPR
May 2027207.85B NPR166.14B NPR251.86B NPR
June 2027208.16B NPR134.74B NPR286.00B NPR
July 2027208.94B NPR145.82B NPR273.35B NPR
August 2027209.16B NPR141.00B NPR282.41B NPR

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+24%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
65%No clear edge over a coin flip (93 of 144 calls right in 12 tests)
Turning points
9 of 81Anticipated some turns (81 turns in 12 tests, 0 without a turn)
Error vs baseline
24% lowerError ratio 0.76; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 observations ahead per test.
80% band coverage
83%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 99% of the 119 earlier readings since September 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
August 2026214.08B NPR
July 2026187.44B NPR
June 2026202.28B NPR
May 2026201.46B NPR
April 2026202.14B NPR
March 2026201.25B NPR
February 2026165.76B NPR
January 2026184.46B NPR
December 2025172.83B NPR
November 2025156.74B NPR
October 2025141.37B NPR
September 2025162.93B NPR
August 2025162.11B NPR
July 2025-1.66T NPR
June 2025159.33B NPR
May 2025170.61B NPR
April 2025164.66B NPR
March 2025163.97B NPR
February 2025156.98B NPR
January 2025166.22B NPR
December 2024160.88B NPR
November 2024148.10B NPR
October 2024122.64B NPR
September 2024128.21B NPR

Source

Data: public market data feeds.

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