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US Fed liquidity & balance-sheet signals

Weekly US Federal Reserve liquidity-plumbing signals (2002 ->): total balance-sheet assets, bank reserve balances, and overnight reverse-repo facility usage, with 13-week momentum, 26-week change volatility, 3-sigma anomaly flags, drift forecasts, a quantitative-tightening pace gauge, the ON RRP drain share, the reserve cushion share, 5-year balance-sheet z-scores, an RRP surge flag, and an ample-reserves regime flag. The liquidity-plumbing companion to us-monetary-aggregates-signals (money stock) and us-financial-stress-signals (market stress). All rows normalized to country_code USA. Raw series: Board of Governors of the Federal Reserve System / Federal Reserve Bank of New York via FRED.

Source: Fed Liquidity Signals (derived)3,714 rowsUpdated: 9/22/2026
federal-reservebalance-sheetquantitative-tighteningreservesreverse-repoliquiditymonetary-policymomentumanomaly-detectionforecastingsignalsfred

Quality

92.9

Attribution

Board of Governors of the Federal Reserve System and Federal Reserve Bank of New York via FRED; derived signals by Frontier Data Hub

Schema

ColumnTypeDescription
datestringObservation date (FRED API field date; YYYY-MM-DD, weekly). RRPONTSYD daily observations are averaged to weekly Saturday-ending weeks.
countrystring
country_codestring
series_idstringFRED series ID: WALCL (total assets of all Federal Reserve banks), WRESBAL (reserve balances with Federal Reserve banks), RRPONTSYD (overnight reverse repurchase agreements, Treasury securities sold by the Federal Reserve Bank of New York).
series_labelstringOfficial FRED series title as published for the series.
valuefloatSeries value in millions of US dollars: WALCL total assets and WRESBAL reserve balances are weekly levels as published; RRPONTSYD is published by FRED in billions of US dollars and is converted here to millions for unit consistency. RRPONTSYD is the weekly average of daily overnight reverse-repo amounts, with weeks lacking any RRP operations recorded as 0 (Federal Reserve via FRED).
momentum_3mfloat
volatility_30dfloat
anomaly_flaginteger
forecast_1mfloat
qt_pace_13w_pctfloat
rrp_drain_sharefloat
reserve_sharefloat
balance_z_5yfloat
reserve_z_5yfloat
rrp_z_1yfloat
rrp_surge_flaginteger
ample_reserves_flaginteger

Sample rows

datecountrycountry_codeseries_idseries_labelvaluemomentum_3mvolatility_30danomaly_flagforecast_1mqt_pace_13w_pctrrp_drain_sharereserve_sharebalance_z_5yreserve_z_5yrrp_z_1yrrp_surge_flagample_reserves_flag
2003-02-08United StatesUSARRPONTSYDOvernight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations2500000
2003-02-15United StatesUSARRPONTSYDOvernight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations0000
2003-02-22United StatesUSARRPONTSYDOvernight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations0000
2003-03-01United StatesUSARRPONTSYDOvernight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations0000
2003-03-08United StatesUSARRPONTSYDOvernight Reverse Repurchase Agreements: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations0000

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/fed_liquidity_signals/us_fed_liquidity_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fed_liquidity_signals/us_fed_liquidity_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/fed_liquidity_signals/us_fed_liquidity_signals

Tip: fetch /llms.txt for the full machine-readable catalog.