Dataset Viewer
Auto-converted to Parquet Duplicate
series_id
large_stringclasses
340 values
date
date32
value
float64
-240,279
218M
BOGMBBM
2025-11-01
2,879.4
BOGMBBM
2025-12-01
2,941.7
BOGMBBM
2026-01-01
2,967.9
BOGMBBM
2026-02-01
2,956.6
BOGMBBM
2026-03-01
3,016.1
BOGMBBM
2026-04-01
3,018.1
BOGMBBM
2026-05-01
3,078.8
BOGMBBM
2026-06-01
3,018.8
BOGMBBM
2026-07-01
3,051.5
BOGMBBM
2026-08-01
2,936
BOGMBBM
2026-09-01
2,966.8
BOGZ1FA104001005Q
2026-01-01
74,380
BOGZ1FA104001005Q
2026-04-01
1,034,095
BOGZ1FA104001105Q
2026-01-01
152,267
BOGZ1FA104001105Q
2026-04-01
998,309
BOGZ1FA313094213Q
2026-01-01
0
BOGZ1FA313094213Q
2026-04-01
0
BOGZ1FA503062003Q
2026-01-01
0
BOGZ1FA503062003Q
2026-04-01
0
BOGZ1FA503069075Q
2026-01-01
1,108
BOGZ1FA503069075Q
2026-04-01
10,144
BOGZ1FA613168005Q
2026-01-01
78,472
BOGZ1FA613168005Q
2026-04-01
23,788
BOGZ1FA713068725Q
2026-01-01
-28
BOGZ1FA713068725Q
2026-04-01
-20
BOGZ1FA713068743Q
2026-01-01
0
BOGZ1FA713068743Q
2026-04-01
0
BOGZ1FA713068803Q
2026-01-01
0
BOGZ1FA713068803Q
2026-04-01
0
BOGZ1FA713068863Q
2026-01-01
-52
BOGZ1FA713068863Q
2026-04-01
-76
BOGZ1FA713068905Q
2026-01-01
-176
BOGZ1FA713068905Q
2026-04-01
0
BOGZ1FA713090003Q
2026-01-01
-1,228
BOGZ1FA713090003Q
2026-04-01
3,916
BOGZ1FA763069143Q
2026-01-01
0
BOGZ1FA763069143Q
2026-04-01
0
BOGZ1FA874001005Q
2026-01-01
1,774,564
BOGZ1FA874001005Q
2026-04-01
897,387
BOGZ1FA874001105Q
2026-01-01
417,247
BOGZ1FA874001105Q
2026-04-01
499,941
BOGZ1FL010000066Q
2026-01-01
198.371
BOGZ1FL104001005Q
2026-01-01
8,870,957
BOGZ1FL104001005Q
2026-04-01
9,728,510
BOGZ1FL104001006Q
2026-01-01
89.385208
BOGZ1FL104001006Q
2026-04-01
95.327567
BOGZ1FL104001105Q
2026-01-01
4,343,778
BOGZ1FL104001105Q
2026-04-01
4,638,518
BOGZ1FL153064476Q
2026-01-01
30.935449
BOGZ1FL153064476Q
2026-04-01
33.996207
BOGZ1FL162000005Q
2026-01-01
14,136,781
BOGZ1FL162000005Q
2026-04-01
14,372,129
BOGZ1FL192000005Q
2026-01-01
193,155,723
BOGZ1FL192000005Q
2026-04-01
205,942,629
BOGZ1FL313094213Q
2026-01-01
0
BOGZ1FL313094213Q
2026-04-01
0
BOGZ1FL503062003Q
2026-01-01
0
BOGZ1FL503062003Q
2026-04-01
0
BOGZ1FL503069075Q
2026-01-01
53,900
BOGZ1FL503069075Q
2026-04-01
56,436
BOGZ1FL613168005Q
2026-01-01
289,776
BOGZ1FL613168005Q
2026-04-01
295,723
BOGZ1FL632051103Q
2026-01-01
6,407
BOGZ1FL632051103Q
2026-04-01
6,830
BOGZ1FL664090663Q
2026-01-01
7,655,928
BOGZ1FL664090663Q
2026-04-01
8,403,405
BOGZ1FL713068725Q
2026-01-01
5
BOGZ1FL713068725Q
2026-04-01
0
BOGZ1FL713068743Q
2026-01-01
0
BOGZ1FL713068743Q
2026-04-01
0
BOGZ1FL713068803Q
2026-01-01
0
BOGZ1FL713068803Q
2026-04-01
0
BOGZ1FL713068863Q
2026-01-01
38
BOGZ1FL713068863Q
2026-04-01
19
BOGZ1FL713068905Q
2026-01-01
0
BOGZ1FL713068905Q
2026-04-01
0
BOGZ1FL713090003Q
2026-01-01
55,093
BOGZ1FL713090003Q
2026-04-01
55,781
BOGZ1FL763069143Q
2026-01-01
0
BOGZ1FL763069143Q
2026-04-01
0
BOGZ1FL874001005Q
2026-01-01
31,912,719
BOGZ1FL874001005Q
2026-04-01
32,968,099
BOGZ1FL874001105Q
2026-01-01
3,183,752
BOGZ1FL874001105Q
2026-04-01
3,324,313
BOGZ1FR104001005Q
2026-01-01
-179,091
BOGZ1FR104001005Q
2026-04-01
549,485
BOGZ1FR104001105Q
2026-01-01
0
BOGZ1FR104001105Q
2026-04-01
0
BOGZ1FR313094213Q
2026-01-01
0
BOGZ1FR313094213Q
2026-04-01
0
BOGZ1FR503062003Q
2026-01-01
0
BOGZ1FR503062003Q
2026-04-01
0
BOGZ1FR503069075Q
2026-01-01
0
BOGZ1FR503069075Q
2026-04-01
0
BOGZ1FR613168005Q
2026-01-01
0
BOGZ1FR613168005Q
2026-04-01
0
BOGZ1FR713068725Q
2026-01-01
0
BOGZ1FR713068725Q
2026-04-01
0
BOGZ1FR713068743Q
2026-01-01
0
BOGZ1FR713068743Q
2026-04-01
0
End of preview. Expand in Data Studio

US macro data: Liquidity (340 series)

340 liquidity series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-liquidity/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-liquidity/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-liquidity"). Wide tables by frequency: wide_daily (5 series), wide_weekly (102 series), wide_monthly (14 series), wide_quarterly (219 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("WALCL")                        # full history, latest values
c.macro("WALCL", vintage="first")       # as first released
c.macro("WALCL", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="liquidity")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
WALCL Assets: Total Assets: Total Assets (Less Eliminations from Consolidation): Wednesday Level Millions of U.S. Dollars Weekly, As of Wednesday 2002
RRPONTSYD Overnight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations Billions of US Dollars Daily 2003
WTREGEN Liabilities and Capital: Liabilities: Deposits with F.R. Banks, Other Than Reserve Balances: U.S. Treasury, General Account: Week Average Millions of U.S. Dollars Weekly, Ending Wednesday 1986
WRESBAL Liabilities and Capital: Other Factors Draining Reserve Balances: Reserve Balances with Federal Reserve Banks: Week Average Millions of U.S. Dollars Weekly, Ending Wednesday 1984
RRPONTSYAWARD Overnight Reverse Repurchase Agreements Award Rate Percent Daily 2013
WRBWFRBL Liabilities and Capital: Other Factors Draining Reserve Balances: Reserve Balances with Federal Reserve Banks: Wednesday Level Millions of U.S. Dollars Weekly, As of Wednesday 2002
RESPPANWW Assets: Total Assets: Total Assets: Wednesday Level Millions of U.S. Dollars Weekly, As of Wednesday 2002
RRPONTTLD Overnight Reverse Repurchase Agreements: Total Securities Sold by the Federal Reserve in the Temporary Open Market Operations Billions of US Dollars Daily 2003
WLRRAL Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level Millions of U.S. Dollars Weekly, As of Wednesday 2002
H41RESPPALDKNWW Assets: Liquidity and Credit Facilities: Loans: Bank Term Funding Program, Net: Wednesday Level (DISCONTINUED) Millions of U.S. Dollars Weekly, Ending Wednesday 2002
TLAACBW027SBOG Total Assets, All Commercial Banks Billions of U.S. Dollars Weekly, Ending Wednesday 1973
QBPBSTAS Balance Sheet: Total Assets Millions of U.S. Dollars Quarterly 1984
WCURCIR Liabilities and Capital: Other Factors Draining Reserve Balances: Currency in Circulation: Week Average Millions of U.S. Dollars Weekly, Ending Wednesday 1984
BOGMBBM Monetary Base: Reserve Balances Billions of Dollars Monthly 1959
BOGZ1FL153064476Q Households and Nonprofit Organizations; Directly and Indirectly Held Corporate Equities as a Percentage of Total Assets, Level Percent Quarterly, End of Period 1945
WLRRAFOIAL Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Foreign Official and International Accounts: Wednesday Level Millions of U.S. Dollars Weekly, As of Wednesday 2002
BOGZ1FL632051103Q Money Market Funds; Security Repurchase Agreements (Federal Reserve Reverse Repurchase Agreement Operations); Asset, Level Millions of U.S. Dollars Quarterly, End of Period 1945
WFRBLT01000 Total Assets Held by the Top 1% (99th to 100th Wealth Percentiles) Millions of Dollars Quarterly 1989
WREPODEL Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Others: Week Average Millions of U.S. Dollars Weekly, Ending Wednesday 2002
WREPOFOR Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Foreign Official and International Accounts: Week Average Millions of U.S. Dollars Weekly, Ending Wednesday 2002
WFRBST01108 Share of Total Assets Held by the Top 1% (99th to 100th Wealth Percentiles) Percent of Aggregate Quarterly 1989
BOGZ1FL192000005Q Households; Total Assets, Level Millions of U.S. Dollars Quarterly, End of Period 1987
TLAACBM027SBOG Total Assets, All Commercial Banks Billions of U.S. Dollars Monthly 1973
D2WATAL Assets: Total Assets: Total Assets: Wednesday Level in Federal Reserve District 2: New York Millions of U.S. Dollars Weekly, As of Wednesday 2002
RRPONTSYOFFR Overnight Reverse Repurchase Agreements: Offering Rate Percent Daily 2021

All 340 series: series.csv. Browse them at https://finzdata.com/macro/category/liquidity.

More from FinzData

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.

Downloads last month
293