FRED WTREGEN — Daily CSV Download (Treasury General Account)
The Treasury General Account (TGA) is the US government’s operating cash balance held at the Federal Reserve — essentially the government’s checking account. Changes in the TGA directly affect financial system liquidity: a rising TGA drains reserves from the banking system, while a falling TGA injects them. FRED series WTREGEN.
Dataset: Treasury General Account Balance (2015–2026) · Updated —
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Source: FRED series WTREGEN · Federal Reserve Bank of St. Louis
Macro Takeaway
This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.
Cross-referencing with the 10-year Treasury yield and the yield curve spread helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | Treasury General Account Balance (2015–2026) |
|---|---|
| Geography | United States |
| Frequency | Weekly |
| Period | 2015–2026 |
| Variables | date, tga_millions |
| Format | CSV, Excel (XLSX) |
| Sources | Federal Reserve Bank of St. Louis — FRED |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
tga_millions | Float | tga_millions value |
Column names match the CSV headers exactly.
Download the Complete Dataset
The full dataset is available in CSV and Excel formats.
FRED Direct CSV Access
The underlying data is available from FRED under series code WTREGEN:
https://fred.stlouisfed.org/graph/fredgraph.csv?id=WTREGEN
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/treasury-general-account.csv
This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.
Using the Dataset in Python
import pandas as pd url = "https://eco3min.fr/dataset/treasury-general-account.csv" df = pd.read_csv(url, parse_dates=["date"]) print(df.head()) print(df["wtregen"].describe())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/treasury-general-account.csv" df <- read_csv(url) head(df) summary(df$wtregen)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
The primary data source is the Federal Reserve’s FRED database, series WTREGEN. The data is published by the relevant US government agency and made available through FRED with consistent formatting and metadata.
This dataset is updated weekly (Saturday 08:00 UTC) via automated pull from the FRED API.
Historical Regimes
Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.
Related Macroeconomic Datasets
Related Macroeconomic Datasets
The TGA is one of three components of the Net Liquidity framework. When the Treasury accumulates cash (TGA rises), reserves drain from banks. When it spends (TGA falls), liquidity floods back — sometimes injecting hundreds of billions in weeks during debt ceiling episodes.
- Net Liquidity Index (WALCL – TGA – RRP) — The composite that captures TGA’s impact on system liquidity
- Fed Balance Sheet (WALCL) — The gross reserve creation that TGA partially offsets
- Overnight Reverse Repo (ON RRP) — The other major liquidity drain alongside TGA
- Federal Funds Rate — Rate policy that influences Treasury issuance and TGA dynamics
- US 10-Year Treasury Yield — The borrowing cost that shapes Treasury debt management
Related Research
The TGA reached $1.82 trillion in July 2020 and its subsequent drawdown injected $1.5 trillion into the system without any FOMC action. Each debt ceiling episode produces TGA swings of $400–800 billion — equivalent to a small QE program. The framework connecting TGA to system liquidity is documented in the study below.
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- Federal Reserve Bank of St. Louis — FRED database