Paraguay Gold Reserves
Paraguay · Quarterly series · EC-PY-GRES
Latest, Q3 2025
8.2 pts
+0.0% from Q2 2025
Forecast
Forecast for Q3 2026: 8.2 pts, with an 80% interval of 8.2 pts to 8.2 pts.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q4 2025 | 8.2 pts | 8.2 pts | 8.2 pts |
| Q1 2026 | 8.2 pts | 8.2 pts | 8.2 pts |
| Q2 2026 | 8.2 pts | 8.2 pts | 8.2 pts |
| Q3 2026 | 8.2 pts | 8.2 pts | 8.2 pts |
AI confidence
Limited evidenceThe no-change baseline made no errors, so relative improvement cannot be measured.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- n/aNot comparable: the no-change baseline made no errors (8 tests, 0 won)
- Direction
- n/aToo few tests (0 direction calls, 8 needed) (0 of 0 calls right in 0 tests)
- Turning points
- n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 0 without a turn)
- Error vs baseline
- Not comparableThe baseline made no errors in these tests.
- Tests won
- 0 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2017-12-01 to 2025-09-014 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 2025-09-01.
- 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
It is above 0% of the 39 earlier readings since Q4 2015.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q3 2025 | 8.2 pts |
| Q2 2025 | 8.2 pts |
| Q1 2025 | 8.2 pts |
| Q4 2024 | 8.2 pts |
| Q3 2024 | 8.2 pts |
| Q2 2024 | 8.2 pts |
| Q1 2024 | 8.2 pts |
| Q4 2023 | 8.2 pts |
| Q3 2023 | 8.2 pts |
| Q2 2023 | 8.2 pts |
| Q1 2023 | 8.2 pts |
| Q4 2022 | 8.2 pts |
| Q3 2022 | 8.2 pts |
| Q2 2022 | 8.2 pts |
| Q1 2022 | 8.2 pts |
| Q4 2021 | 8.2 pts |
| Q3 2021 | 8.2 pts |
| Q2 2021 | 8.2 pts |
| Q1 2021 | 8.2 pts |
| Q4 2020 | 8.2 pts |
| Q3 2020 | 8.2 pts |
| Q2 2020 | 8.2 pts |
| Q1 2020 | 8.2 pts |
| Q4 2019 | 8.2 pts |
Source
Data: public market data feeds.
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- Paraguay CPI Housing Utilities
- Paraguay CPI Transportation
- Paraguay Capital Flows
- Paraguay Changes In Inventories
- Paraguay Consumer Price Index
- Paraguay Consumer Spending
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- Paraguay Core Inflation Rate YoY
- Paraguay Corporate Tax Rate
- Paraguay Corruption Index
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