Nominal broad US dollar index (H.10, daily)
Daily nominal broad US dollar index, 2006-01-02 onward: the Board of Governors' trade-weighted dollar (DTWEXBGS, H.10, Jan 2006 = 100), weekday published-observation calendar — redistributed keyless via FRED fredgraph.csv. Carries 1/5/21/252 published-day percent changes, the 200-day moving average with deviation from it, and trailing 52-week high/low flags — the outside-world dollar-strength feature for import-cost, export-demand and travel-demand models. Who joins this: retailers read dollar strength as import-cost tailwinds; travel and export shops condition demand on a weak-dollar boost; subscription businesses use dev_from_ma200_pct as a churn/pricing feature. Pairs with fx_signals (ECB bilateral crosses) and fred_trade_balance_intel (the trade flows behind the index).
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 5 198
- Colonnes
- 14
- Cadence de la source
- Quotidienne
- Dernière actualisation
- 2 oct. 2026
- Thème
- markets
| Colonne | Type | Description |
|---|---|---|
| date | date | Published observation day (weekday H.10 calendar — federal holidays are dropped rows, never imputed; the panel join key). (unit: date) |
| year_month | string | Calendar month as YYYY-MM. (unit: string) |
| country | string | Country name (shared normalization layer). (unit: string) |
| country_code | string | ISO 3166-1 alpha-3 country code (USA — the dollar in the index). (unit: string) |
| index_level | float | Nominal Broad U.S. Dollar Index (FRED DTWEXBGS, H.10), index Jan 2006 = 100, not seasonally adjusted — the trade-weighted dollar level. (unit: index) |
| chg_1d_pct | float | 1 published-day percent change in the index (null on the first panel day). (unit: percent) |
| chg_5d_pct | float | 5 published-day (~weekly) percent change in the index (null for the first 5 panel days). (unit: percent) |
| chg_21d_pct | float | 21 published-day (~monthly) percent change in the index (null for the first 21 panel days). (unit: percent) |
| chg_252d_pct | float | 252 published-day (~yearly) percent change in the index (null for the first 252 panel days). (unit: percent) |
| ma_200d | float | 200 published-day moving average of the index (null for the first 199 panel days) — the medium-term dollar trend line. (unit: index) |
| dev_from_ma200_pct | float | Deviation of the index from its 200-day moving average in percent (positive = dollar above trend; null while the average is null). (unit: percent) |
| at_52w_high_flag | integer | 1 when the index is at its trailing 252 published-day maximum (a 52-week dollar high, including the current day); null before the window fills. (unit: flag) |
| at_52w_low_flag | integer | 1 when the index is at its trailing 252 published-day minimum (a 52-week dollar low, including the current day); null before the window fills. (unit: flag) |
| row_hash | string | Deterministic 16-hex sha256 of date + index_level (idempotency key). (unit: string) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | year_month | country | country_code | index_level | chg_1d_pct | chg_5d_pct | chg_21d_pct | chg_252d_pct | ma_200d | dev_from_ma200_pct | at_52w_high_flag | at_52w_low_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-01-02 | 2006-01 | United States | USA | 101,416 | — | — | — | — | — | — | — | — | 0b13c7404c42c536 |
| 2006-01-03 | 2006-01 | United States | USA | 100,756 | -0,65 | — | — | — | — | — | — | — | 55f6b4686e8564b5 |
| 2006-01-04 | 2006-01 | United States | USA | 100,229 | -0,523 | — | — | — | — | — | — | — | 99f90599bc72a639 |
| 2006-01-05 | 2006-01 | United States | USA | 100,299 | 0,07 | — | — | — | — | — | — | — | 58de40a2c42eab9e |
| 2006-01-06 | 2006-01 | United States | USA | 100,024 | -0,274 | — | — | — | — | — | — | — | a8ae4e8efaa2d780 |
| 2006-01-09 | 2006-01 | United States | USA | 100,179 | 0,155 | -1,219 | — | — | — | — | — | — | f61f15f103ba93fa |
| 2006-01-10 | 2006-01 | United States | USA | 100,144 | -0,036 | -0,608 | — | — | — | — | — | — | 0b544081f06650bb |
| 2006-01-11 | 2006-01 | United States | USA | 99,871 | -0,272 | -0,357 | — | — | — | — | — | — | d542dbb4f86f8a59 |
| 2006-01-12 | 2006-01 | United States | USA | 100,064 | 0,194 | -0,234 | — | — | — | — | — | — | 4b4585aee7c06c6b |
| 2006-01-13 | 2006-01 | United States | USA | 99,968 | -0,097 | -0,057 | — | — | — | — | — | — | 564d8ab36b5c25aa |
Profilé le 2 oct. 2026 à partir de l’instantané 20261002T002354Z-514adbd88a6e
Mesuré- Complétude
- 98,4 %
- Lignes
- 5 198
- Colonnes
- 14
- Colonnes incomplètes
- 8
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datedate | 0 % | 4 126 | 2 janv. 2006 → 25 sept. 2026 | — |
| year_monthvarchar | 0 % | 267 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| index_leveldouble | 0 % | 5 604 | 85,47 → 130,04médiane 110,23 | 104 hors du 1er–99e centile |
| chg_1d_pctdouble | 0,02 % | 5 021 | -2,53 → 1,91médiane -0,0037 | 104 hors du 1er–99e centile |
| chg_5d_pctdouble | 0,1 % | 6 028 | -4,41 → 5médiane -0,0034 | 104 hors du 1er–99e centile |
| chg_21d_pctdouble | 0,4 % | 3 968 | -5,35 → 12,85médiane -0,0411 | 104 hors du 1er–99e centile |
| chg_252d_pctdouble | 4,8 % | 4 322 | -12,8 → 22,66médiane 1,02 | 100 hors du 1er–99e centile |
| ma_200ddouble | 3,8 % | 5 476 | 87,85 → 125,32médiane 110,6 | 100 hors du 1er–99e centile |
| dev_from_ma200_pctdouble | 3,8 % | 4 465 | -6,67 → 15,29médiane 0,2401 | 100 hors du 1er–99e centile |
| at_52w_high_flagbigint | 4,8 % | 2 | 0 → 1médiane 0 | |
| at_52w_low_flagbigint | 4,8 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 4 980 | — |
|
- Actuelle
20261002T002354Z-514adbd88a6e · sha256 514adbd88a6e…
5 198 lignes · premier instantané
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 "https://datazimuts.com/v1/datasets/fred_fx_dollar_intel/us_broad_dollar_index_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fred_fx_dollar_intel/us_broad_dollar_index_daily").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/fred_fx_dollar_intel/us_broad_dollar_index_daily
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20261002T002354Z-514adbd88a6e et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
US Broad Dollar-Index Intelligence (FRED, keyless). (2026). Nominal broad US dollar index (H.10, daily) [Data set, snapshot 20261002T002354Z-514adbd88a6e, sha256 514adbd88a6e]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/fred_fx_dollar_intel/us_broad_dollar_index_daily?snapshot=20261002T002354Z-514adbd88a6e
@misc{dz_fred_fx_dollar_intel_us_broad_dollar_ind_514adbd8,
title = {{Nominal broad US dollar index (H.10, daily)}},
author = {{US Broad Dollar-Index Intelligence (FRED, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/fred_fx_dollar_intel/us_broad_dollar_index_daily?snapshot=20261002T002354Z-514adbd88a6e}},
note = {Snapshot 20261002T002354Z-514adbd88a6e, sha256 514adbd88a6eaa876ffbbc4ae4c989ebe8d69e83cfc56d58566eaf8da8930800; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=fred_fx_dollar_intel%2Fus_broad_dollar_index_daily&lang=fr&theme=auto&snapshot=20261002T002354Z-514adbd88a6e&x=date&y=index_level&agg=avg" title="Nominal broad US dollar index (H.10, daily)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Posez une question sur ce jeu de données. Les réponses viennent uniquement de sa fiche, de son profil mesuré et de son historique, et citent les faits utilisés.