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Fed Balance Sheet

Total assets held by the Federal Reserve, the QE/QT gauge.

The Fed Balance Sheet is currently $6.69T, last updated . Fed balance sheet at $6.69T, track pace of QT runoff vs prior cycle

$6.69T
1W +0.28%1M +0.57%3M +1.33%
Updated 3m ago
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Liquidity is the oxygen of financial markets. When the Fed expands its balance sheet or the Treasury draws down the TGA, excess reserves flow into risk assets. The reverse repo facility acts as a barometer of surplus cash in the system. Tracking net liquidity, the Fed balance sheet minus TGA and reverse repo, has been one of the strongest macro signals of the post-2020 era.

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Fed balance sheet at $6.69T, track pace of QT runoff vs prior cycle

About Fed Balance Sheet

What Is Quantitative Tightening?

Quantitative Tightening (QT) is the process by which a central bank shrinks its balance sheet, withdrawing reserves from the financial system and reversing the liquidity injection of Quantitative Easing (QE). When the Federal Reserve conducts QT, it stops reinvesting the principal payments on the bonds it holds. As those bonds mature, the cash flows back to the Fed and is effectively destroyed, it disappears from circulation rather than being recycled into new purchases.

The Fed can also conduct active QT by selling bonds outright on the open market, though this is far more disruptive and has been avoided in practice. The preferred method is passive runoff, setting monthly caps on how much is allowed to roll off and reinvesting any excess above the cap. This makes the pace predictable and controllable, which is critical for market stability.

QT is one of the most powerful and least understood forces in modern financial markets. It operates in the background, with no single dramatic event to point to, but its cumulative effect on liquidity conditions drives asset prices over quarters and years.

Why QT Matters for Traders

QT matters because it determines the quantity of money available to the financial system, a fundamentally different lever from interest rates, which determine the price of money. Both matter, but QT's effects are more insidious because they are gradual, cumulative, and often invisible until something breaks.

The direct transmission channels:

  • Higher term premium: With the Fed no longer absorbing duration supply as a price-insensitive buyer, private investors must hold more bonds. They demand higher compensation (yield) for doing so. The Fed's QE purchases are estimated to have suppressed 10Y yields by 100-150bps; QT gradually reverses this.
  • Tighter financial conditions: Higher long-term yields feed directly into mortgage rates, corporate borrowing costs, and equity risk premiums. The Goldman Sachs Financial Conditions Index tightened by over 400bps between early 2022 and late 2023, with QT contributing roughly one-third of that move alongside rate hikes.
  • Reserve drainage: QT reduces bank reserves, the raw material of the financial system. When reserves are abundant, banks lend freely and markets function smoothly. When reserves become scarce, funding costs spike, market-making deteriorates, and liquidity evaporates.
  • Risk asset headwind: Less cash chasing assets means lower valuations, wider credit spreads, and more volatile markets. The correlation between net liquidity (Fed balance sheet minus TGA minus RRP) and the S&P 500 has been approximately 0.85 since 2020.

How to Read and Interpret QT

The Three Phases of QT

QT doesn't hit markets uniformly. It proceeds through three distinct phases, each with different market implications:

Phase What's Being Drained Market Impact Signal
Phase 1: RRP Drainage Excess cash in the ON RRP facility Minimal to positive, money re-enters markets Net liquidity rising even as balance sheet shrinks
Phase 2: Mixed Drainage RRP declining toward zero, reserves starting to feel it Moderate, increased rate volatility at quarter-ends SOFR spreads widening intermittently
Phase 3: Reserve Drainage Bank reserves directly reduced Significant, funding stress, credit tightening Sustained SOFR volatility, repo rate spikes

The critical variable is where in the liquidity stack the drainage is occurring. Most of 2023's QT was Phase 1, the $2.5 trillion RRP cushion absorbed the hit while reserves stayed comfortable. By late 2024, the system transitioned into Phase 2 as RRP approached zero.

Key Metrics to Monitor

  • Fed Balance Sheet (WALCL on FRED): Weekly release, Thursday 4:30 PM ET. Track the pace of decline.
  • Reserve Balances (WRESBAL): The critical stock variable. Estimated "lowest comfortable level" is $3.0-3.5T.
  • ON RRP Balance (RRPONTSYD): The liquidity buffer. Near zero means Phase 3 is imminent.
  • Net Liquidity: Fed Balance Sheet − TGA − RRP. The single best summary measure.
  • SOFR rate distribution: A widening right tail (more trades printing well above the median) signals reserve scarcity before the headline rate moves.

Historical Context

QT1: 2017-2019, The First Experiment

The Fed's first QT cycle began in October 2017, starting at just $10B/month and gradually increasing to $50B/month by October 2018. The balance sheet declined from $4.5T to $3.8T, a modest $700B reduction over two years.

Despite the slow pace, the cycle ended in disaster. On September 17, 2019, overnight repo rates spiked from 2% to 10% intraday. SOFR printed at 5.25%, 300bps above the Fed's target. The proximate cause was a confluence of corporate tax payments and Treasury settlement, but the underlying cause was that reserves had been drained below the system's comfort level ($1.4T at the time). The Fed was forced to restart repo operations immediately and began expanding the balance sheet again by October 2019, effectively admitting QT had gone too far.

Key lesson: The transition from ample to scarce reserves is a cliff, not a slope. Markets function normally right until the moment they don't.

QT2: 2022-Present, Faster, Bigger, More Complex

The current QT cycle began in June 2022, at a pace nearly double the first cycle: $60B/month in Treasuries and $35B/month in MBS ($95B total). The starting balance sheet was $8.96T, roughly double QT1's starting point.

Several features distinguish QT2:

  • Concurrent with aggressive rate hikes: Unlike QT1 (which ran alongside a gradual hiking cycle), QT2 coincided with 525bps of hikes in 16 months. The combined tightening was unprecedented.
  • The RRP buffer: The $2.55T RRP balance in late 2022 provided a massive cushion that QT1 never had. This allowed QT to run faster without immediately hitting reserves.
  • MBS runoff lag: MBS prepayments slowed dramatically as mortgage rates rose above 7%, meaning actual MBS runoff consistently fell short of the $35B cap. This effectively slowed QT from the planned $95B/month to ~$75-80B.
  • Tapering QT: In June 2024, the Fed reduced the Treasury runoff cap from $60B to $25B/month, a tacit acknowledgment that the RRP cushion was nearly gone and reserve drainage was approaching.

The March 2023 Banking Crisis

The Silicon Valley Bank collapse in March 2023 complicated QT. The Fed created the Bank Term Funding Program (BTFP) to lend against underwater bond portfolios, effectively injecting ~$160B in new reserves. For several months, the BTFP offset QT entirely, the balance sheet was shrinking via QT while simultaneously expanding via emergency lending. This illustrates a core tension: the Fed wants to tighten via QT but cannot allow the financial system to break.

Cross-Asset Implications

QT's effects cascade across every major asset class, but with different lags and magnitudes:

  • US Treasuries: QT directly increases the supply of bonds that private markets must absorb. This pushes yields higher, particularly at the long end where the Fed's holdings are concentrated. The 10Y yield rose from ~1.5% to ~5% between 2022-2023, with QT estimated to account for 50-80bps of that move.
  • Equities: QT creates a headwind via higher discount rates and reduced liquidity. The most sensitive segments are small caps (Russell 2000) and unprofitable growth stocks, which depend on abundant cheap capital. Large-cap tech is less sensitive due to massive free cash flow generation.
  • Credit: HY spreads historically widen 50-100bps during QT as reduced liquidity makes risk assets less attractive. IG is more resilient but still faces higher all-in yields.
  • Crypto: Bitcoin has approximately 0.90 correlation with net liquidity. QT that reduces net liquidity is one of the strongest negative signals for crypto prices.
  • Dollar: QT tightens dollar liquidity globally, strengthening the dollar. This creates a feedback loop: stronger dollar → tighter EM conditions → reduced global risk appetite → further dollar demand.

Limitations and Caveats

QT is not the simple mechanical process it appears. Several factors complicate the analysis:

  • MBS runoff is unpredictable: Prepayment rates depend on mortgage rates, housing activity, and seasonal patterns. When mortgage rates rise, prepayments slow and actual MBS runoff falls short of caps.
  • Treasury issuance mix matters: If Treasury shifts issuance toward bills (which are bought by money funds from RRP cash), the liquidity impact of QT is partially offset. The bill/coupon mix in quarterly refunding announcements is critical.
  • Global central bank coordination: When the Fed, ECB, and BoJ all tighten simultaneously (as in 2022), the combined impact is far greater than any single institution's QT. When they diverge (BoJ easing while Fed tightens), cross-border capital flows complicate the picture.
  • The "lowest comfortable level of reserves" is unknown: The Fed does not know precisely when reserves become scarce. Their estimates have been revised multiple times. This creates a risk of overtightening, the same error that caused the 2019 repo crisis.

What to Watch Right Now

  1. Weekly H.4.1 release: Track the Fed balance sheet and compute the actual monthly runoff rate (which often differs from the cap due to MBS shortfalls).
  2. Net liquidity trajectory: Fed Balance Sheet − TGA − RRP. This is the master variable. Plot it weekly against the S&P 500 and BTC for divergence signals.
  3. FOMC minutes and Fedspeak: Any discussion of "ample reserves," "appropriate level of reserves," or QT endpoint signals are market-moving. The Fed will likely signal QT's end 2-3 meetings before acting.
  4. Quarter-end repo stress: If SOFR spikes at quarter-end (when banks window-dress balance sheets), it's an early warning that reserves are becoming operationally scarce.
  5. Treasury refunding announcements: The quarterly announcement (February, May, August, November) reveals the bill/coupon issuance mix, which determines whether new supply drains RRP (benign) or reserves (painful).
Read full glossary entry →

Recent Data

DateValueChange
Apr 8, 2026$6.69T+0.28%
Apr 1, 2026$6.68T+0.27%
Mar 25, 2026$6.66T+0.02%
Mar 18, 2026$6.66T+0.14%
Mar 11, 2026$6.65T+0.26%
Mar 4, 2026$6.63T+0.23%
Feb 25, 2026$6.61T+0.01%
Feb 18, 2026$6.61T-0.14%
Feb 11, 2026$6.62T+0.25%
Feb 4, 2026$6.61T

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Frequently Asked Questions

What is Fed Balance Sheet?
Total assets held by the Federal Reserve, the QE/QT gauge.
How does Fed Balance Sheet relate to liquidity?
Fed Balance Sheet is part of the Liquidity category. Liquidity is the oxygen of financial markets. When the Fed expands its balance sheet or the Treasury draws down the TGA, excess reserves flow into risk assets. The reverse repo facility acts as a barometer of surplus cash in the system. Tracking net liquidity, the Fed balance sheet minus TGA and reverse repo, has been one of the strongest macro signals of the post-2020 era.
How often is Fed Balance Sheet updated?
Fed Balance Sheet is updated weekly, typically on the same day each week. Each metric page on Convex shows the exact time of the last data update and provides historical data going back up to five years.
Where does Convex source Fed Balance Sheet data?
Convex sources Fed Balance Sheet data from the Federal Reserve Economic Data (FRED) API, maintained by the Federal Reserve Bank of St. Louis. Data is fetched automatically and displayed alongside interactive charts, AI analysis, and historical context.
What can I do on the Fed Balance Sheet chart page?
The Fed Balance Sheet page includes an interactive chart with selectable time ranges (1 month to 5 years), percentage changes over multiple timeframes, a table of recent readings, AI-generated analysis, and links to related metrics and comparisons.

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Data sourced from FRED, CoinGecko, CBOE, CFTC, and EIA. Updated weekly. This page is for informational purposes only and does not constitute financial advice.