AgenticInvestor

India Real GDP

India · Quarterly series · EC-IN-GDPCP

Latest, Q2 2026

81.36T INR

-7.3% from Q1 2026

Open interactive chartIndia Real GDP in the app

4782T2370T-41.8TQ2 2004Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 67.60T INR, with an 80% interval of -16.34T INR to 276.58T INR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202681.51T INR8.69T INR143.32T INR
Q4 202675.08T INR-4.62T INR200.28T INR
Q1 202784.72T INR-41.80T INR328.73T INR
Q2 202767.60T INR-16.34T INR276.58T INR

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, 4 won)
Direction
75%No clear edge over a coin flip (24 of 32 calls right in 8 tests)
Turning points
8 of 11Anticipated most turns (11 turns in 8 tests, 0 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 10% of the 39 earlier readings since Q3 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
Q2 202681.36T INR
Q1 202687.77T INR
Q4 202584.65T INR
Q3 202575.39T INR
Q2 202547.89T INR
Q1 202551.35T INR
Q4 202447.27T INR
Q3 20244,492.23T INR
Q2 20244,441.99T INR
Q1 20244,782.03T INR
Q4 20234,443.64T INR
Q3 20234,254.81T INR
Q2 20234,170.11T INR
Q1 20234,413.32T INR
Q4 20224,057.58T INR
Q3 20223,891.25T INR
Q2 20223,802.77T INR
Q1 20224,128.57T INR
Q4 20213,870.11T INR
Q3 20213,672.44T INR
Q2 20213,350.73T INR
Q1 20213,952.57T INR
Q4 20203,667.34T INR
Q3 20203,342.66T INR

Source

Data: public market data feeds.

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