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.
Quality
Attribution
Federal Reserve Bank of St. Louis via FRED; derived signals by Frontier Data Hub
Schema
| Column | 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 |
Sample rows
| 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 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/money_velocity_signals/us_money_velocity_signals
Tip: fetch /llms.txt for the full machine-readable catalog.