Sub-Saharan African terms-of-trade signals (price-competitiveness gauges)
Annual terms-of-trade signals derived from the IMF DataMapper (terms-of-trade index, 2010 = 100, 47 Sub-Saharan African economies, 2004 ->): 1-year and 3-year changes, 30-year change volatility, 3-sigma anomaly flags vs a trailing-10-year baseline, naive-drift 1-year forecasts, per-year cross-country volatility ranks, 10-year index z-scores, 5-year percent shifts, and sustained improvement / deterioration / shock-year flags. The global price-competitiveness companion to the trade-flow signals. Country codes normalized to verified ISO alpha-3. Raw data: International Monetary Fund (DataMapper, keyless API).
Qualité
Attribution
International Monetary Fund, DataMapper (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference year (January 1). The DataMapper publishes annual data. (unit: ISO date) |
| country | string | Country name (canonical English short name). |
| country_code | string | ISO 3166-1 alpha-3 country code. |
| series_id | string | IMF DataMapper indicator code (TTT). |
| series_label | string | IMF DataMapper indicator label: 'Terms of Trade (Index, 2010 = 100)'. |
| value | float | Terms of trade (IMF DataMapper indicator TTT). (unit: Index, 2010 = 100) |
| change_1y | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| tot_z_10y | float | |
| tot_change_5y_pct | float | |
| improving_flag | integer | |
| deteriorating_flag | integer | |
| shock_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | change_1y | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | tot_z_10y | tot_change_5y_pct | improving_flag | deteriorating_flag | shock_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-01-01 | Angola | AGO | TTT | Terms of Trade (Index, 2010 = 100) | 64.605251075903 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Burundi | BDI | TTT | Terms of Trade (Index, 2010 = 100) | 53.442937592763 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Benin | BEN | TTT | Terms of Trade (Index, 2010 = 100) | 133.60758534183 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Burkina Faso | BFA | TTT | Terms of Trade (Index, 2010 = 100) | 97.32505691583 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Botswana | BWA | TTT | Terms of Trade (Index, 2010 = 100) | 70.176114932565 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/terms_of_trade_signals/global_terms_of_trade_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/terms_of_trade_signals/global_terms_of_trade_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/terms_of_trade_signals/global_terms_of_trade_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.