US money-velocity signals (M1V, M2V circulation gauges)
Quarterly US money-velocity signals from FRED (1959 ->): the velocity of M1 and M2 money stocks (nominal GDP / money), with quarter-on-quarter and year-on-year changes, 30-quarter change volatility, 3-sigma anomaly flags, drift forecasts, 10-year velocity z-scores, a slow-circulation flag and the M1-minus-M2 circulation gap. The monetarist-transmission lens: how fast money circulates through the economy. The velocity companion to the money-stock levels in us-monetary-signals. All rows normalized to country_code USA. Raw series: Federal Reserve Bank of St. Louis via FRED.
Qualité
Attribution
Federal Reserve Bank of St. Louis via FRED; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference quarter (FRED observation date; quarterly). |
| country | string | United States (all series are US national). |
| country_code | string | ISO 3166-1 alpha-3 code: USA. |
| series_id | string | FRED series ID: M1V (Velocity of M1 Money Stock) or M2V (Velocity of M2 Money Stock). |
| series_label | string | Official FRED series title as published in the series metadata. |
| value | float | Velocity ratio — nominal GDP divided by the money stock — as published by the Federal Reserve Bank of St. Louis via FRED. |
| volatility_30d | float | |
| momentum_3m | float | |
| qoq_change_pct | float | |
| yoy_change_pct | float | |
| velocity_z_10y | float | |
| falling_velocity_flag | integer | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| m1_m2_velocity_gap | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | qoq_change_pct | yoy_change_pct | velocity_z_10y | falling_velocity_flag | anomaly_flag | forecast_1m | rank | m1_m2_velocity_gap |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1959-01-01 | United States | USA | M1V | Velocity of M1 Money Stock | 3.663 | — | — | — | — | — | 0 | 0 | — | — | 1.89 |
| 1959-04-01 | United States | USA | M1V | Velocity of M1 Money Stock | 3.719 | — | 0.05600000000000005 | 1.5288015288015266 | — | — | 0 | 0 | — | — | 1.93 |
| 1959-07-01 | United States | USA | M1V | Velocity of M1 Money Stock | 3.71 | — | -0.008999999999999897 | -0.24200053777897468 | — | — | 0 | 0 | — | — | 1.937 |
| 1959-10-01 | United States | USA | M1V | Velocity of M1 Money Stock | 3.769 | — | 0.05900000000000016 | 1.5902964959568777 | — | — | 0 | 0 | — | — | 1.9900000000000002 |
| 1960-01-01 | United States | USA | M1V | Velocity of M1 Money Stock | 3.879 | — | 0.10999999999999988 | 2.9185460334306246 | 5.896805896805901 | — | 0 | 0 | — | — | 2.0620000000000003 |
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/money_velocity_signals/us_money_velocity_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/money_velocity_signals/us_money_velocity_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/money_velocity_signals/us_money_velocity_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.