India Gross Fixed Capital Formation
India · Quarterly series · EC-IN-GFCF
Latest, Q2 2026
27.96T INR
+0.2% from Q1 2026
Forecast
Forecast for Q2 2027: 28.52T INR, with an 80% interval of 2.61T INR to 47.43T INR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 28.04T INR | 22.88T INR | 32.78T INR |
| Q4 2026 | 28.14T INR | 18.46T INR | 36.29T INR |
| Q1 2027 | 28.62T INR | 6.19T INR | 56.73T INR |
| Q2 2027 | 28.52T INR | 2.61T INR | 47.43T INR |
AI confidence
Mixed evidenceThe 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 8 tests (8 tests, 6 won)
- Direction
- 59%No clear edge over a coin flip (19 of 32 calls right in 8 tests)
- Turning points
- 11 of 17Anticipated most turns (17 turns in 8 tests, 0 without a turn)
- Error vs baseline
- 5% lowerError ratio 0.95; 1.00 is a tie.
- Tests won
- 6 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2018-09-01 to 2026-06-014 observations ahead per test.
- 80% band coverage
- 81%Observed outcomes inside the band across all stored test windows.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-15 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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.
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
That is the highest of the 40 readings since Q3 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 27.96T INR |
| Q1 2026 | 27.90T INR |
| Q4 2025 | 26.05T INR |
| Q3 2025 | 26.17T INR |
| Q2 2025 | 16.55T INR |
| Q1 2025 | 17.41T INR |
| Q4 2024 | 14.99T INR |
| Q3 2024 | 15.44T INR |
| Q2 2024 | 15.21T INR |
| Q1 2024 | 15.70T INR |
| Q4 2023 | 14.07T INR |
| Q3 2023 | 14.35T INR |
| Q2 2023 | 14.15T INR |
| Q1 2023 | 15.38T INR |
| Q4 2022 | 12.82T INR |
| Q3 2022 | 12.85T INR |
| Q2 2022 | 13.04T INR |
| Q1 2022 | 14.12T INR |
| Q4 2021 | 12.21T INR |
| Q3 2021 | 12.28T INR |
| Q2 2021 | 11.44T INR |
| Q1 2021 | 13.46T INR |
| Q4 2020 | 11.65T INR |
| Q3 2020 | 10.76T INR |
Source
Data: public market data feeds.
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