30Y Treasury Yield
Yield on 30-year US Treasury, long bond benchmark.
The 30Y Treasury Yield is currently 5.02%, last updated . 30Y at 5.02% is at multi-decade highs and signals acute long-end stress. Mortgage rates above 8% suppress housing demand, pension discount rates rise, equity multiples compress. The October 2023 break above 5% (first time since 2007) is the recent template — the regime tends to force policy capitulation.
Interest rates set the price of money and ripple through every asset class. An inverted yield curve has preceded every U.S. recession since the 1960s, making this the single most-watched corner of fixed income. Monitoring rate differentials, real yields, and forward expectations helps traders anticipate risk-on or risk-off regime shifts.
Current Reading
30Y at 5.02% is at multi-decade highs and signals acute long-end stress. Mortgage rates above 8% suppress housing demand, pension discount rates rise, equity multiples compress. The October 2023 break above 5% (first time since 2007) is the recent template — the regime tends to force policy capitulation.
What DGS30 Tracks and Why It Matters
DGS30 is the constant-maturity yield on the 30-year US Treasury, published daily by the Federal Reserve Board. The 30Y is the longest-maturity Treasury issued at regular auctions and the cleanest signal of the long end of the yield curve. It is also the most term-premium-sensitive of the Treasury benchmarks because of its duration (roughly 17-18 years).
Why it matters: the 30Y yield drives long-duration discount rates for infrastructure, pension liabilities, life-insurance reserves, and ultra-long-dated fixed-income portfolios. It is the reference benchmark for TLT (the 20+ year Treasury ETF), for mortgage-backed-securities pricing, and for the longest end of the corporate-credit curve. The 30Y is more sensitive than the 10Y to term-premium shifts and to fiscal-deficit concerns because 30 years of duration amplifies the sensitivity to long-term inflation and debt-trajectory expectations.
How to Read DGS30 Right Now
DGS30 is near 5.0% in April 2026, with the 30Y-10Y spread (DGS30 minus DGS10) approximately +69bp (5.0% minus 4.31%). The 30Y has been pressured higher by elevated term premium (ACM 30Y term premium at multi-year highs) and by sustained $2 trillion-plus federal deficits that are increasing the duration supply at the long end of the curve.
The April 29 Fed hold with rising cut probability is roughly neutral for DGS30: rate cuts at the front end may actually steepen the curve further because term premium and inflation-expectations don't move with the policy rate. The structural risk is fiscal-driven: any deficit-widening tax cuts or spending packages historically lift the 30Y by 20-50bp on supply concerns. The bull case is recession plus disinflation that lifts demand for long duration.
Historical Range and Drivers
Modern DGS30 range: 1.00% in March 2020 (COVID flight-to-quality, all-time low), 4.81% in October 2023 (cycle peak), 5.0% in April 2026. The 1981 peak was 15.21% (Volcker era). The three drivers are inflation expectations (long-term, drives nominal rate), term premium (compensation for duration risk, the 2023-2026 structural shift higher), and Treasury supply (the 30Y auction tail is a leading indicator of long-end stress).
What to Watch in DGS30
First, the ACM 30Y term premium series. Above +200bp would signal extreme duration stress; current readings near +100-150bp are already historically elevated.
Second, the 30Y-10Y spread. Steepening signals fiscal-deficit concerns or term-premium expansion; flattening signals demand for duration.
Third, 30Y Treasury auction results (bid-to-cover, dealer takedown, indirect bid share). Weak auctions historically lift the 30Y by 5-15bp on the day and signal foreign-demand softness.
About 30Y Treasury Yield
What Is a Yield Curve Butterfly?
A Yield Curve Butterfly is a three-leg fixed income relative value trade engineered to isolate yield curve curvature while remaining neutral to both parallel yield shifts and slope changes. The canonical structure involves being long the belly, typically 5-year Treasuries, and short the wings, typically 2-year and 10-year Treasuries, in DV01-weighted proportions, or the mirror image when the belly is expected to richen. The trade earns its name from the shape of the P&L profile plotted against yield changes, which resembles a butterfly with two wings.
The spread is quoted as: Butterfly Spread = 2 × Yield(5y) − Yield(2y) − Yield(10y). A positive reading indicates the belly is cheap relative to the wings, the curve has a pronounced hump, while a negative reading signals the belly is rich, often associated with an inverted hump or pronounced curve concavity. Unlike a simple yield curve steepener or flattener, which each express a single-dimension slope view, the butterfly isolates a genuinely third-order dynamic: curvature itself. This makes it one of the most refined instruments in the rates relative value toolkit.
In practice, butterflies are executed across cash Treasuries, Treasury futures (using 2-year, 5-year, and 10-year note contracts), or interest rate swaps. Each vehicle introduces distinct basis considerations. When using futures, traders must account for cheapest-to-deliver dynamics and roll costs, which can cause apparent butterfly moves that are purely technical rather than macroeconomic in origin.
Why It Matters for Traders
The butterfly spread is a core instrument on rates relative value desks at macro hedge funds, primary dealers, and central bank reserve managers because it captures monetary policy cycle transitions that raw slope metrics fundamentally miss. During Federal Reserve hiking cycles, the market typically first expresses a 2s10s flattener as short rates are repriced higher. Subsequently, and this is where the butterfly diverges from simpler measures, the belly cheapens sharply as the market struggles to price the terminal rate: the 2-year is anchored to near-term policy expectations, the 10-year reflects long-run growth and inflation, but the 5-year must price the path between them under maximum uncertainty. This creates a persistently positive butterfly through late-cycle hiking phases.
As the cycle matures and recession pricing emerges, the butterfly typically collapses and turns negative: duration buyers concentrate demand in intermediate maturities for their superior convexity characteristics, and the belly richens sharply as Fed pivot expectations crystallize. The butterfly thus acts as a real-time signal of where the market is placing the inflection point in the rate cycle.
The spread also serves as a cross-asset stress indicator. Heavy mortgage-backed securities convexity hedging, when prepayment durations extend as rates rise, forces servicers and originators to sell the 5–7 year sector mechanically, cheapening the belly irrespective of fundamental macro views. Monitoring broker-dealer estimates of MBS convexity hedging flows alongside the raw butterfly spread helps traders distinguish macro signal from technical noise.
How to Read and Interpret It
Several interpretive frameworks help translate raw spread levels into actionable positions:
- Positive butterfly (belly cheap): Signals elevated policy uncertainty and a volatile rate environment. The 5-year sector underperforms as the market prices a wide distribution of terminal rate outcomes. Classic in active hiking cycles and periods of fiscal supply uncertainty.
- Negative butterfly (belly rich): Associated with flight-to-quality flows, strong demand for intermediate duration, or clear Fed pivot expectations. Often precedes or accompanies bull-steepening episodes as recession probability rises.
- Magnitude thresholds: During the 2015–2019 tightening cycle, the 2s5s10s butterfly ranged roughly between −20 bps and +30 bps. Readings beyond ±35–40 bps have historically flagged mean-reversion opportunities for relative value traders, though post-2020 quantitative easing distortions have widened the normal operating range.
- Duration-neutrality verification: A properly constructed butterfly requires leg sizes calibrated by DV01 so the position carries no net interest rate exposure. A common error is sizing legs by face value rather than rate sensitivity, inadvertently embedding a directional duration bet that can overwhelm the curvature signal.
- Slope contamination check: Even a DV01-neutral butterfly can carry residual key rate duration exposure if the DV01 weights are calculated from a flat curve assumption. Sophisticated desks use full key rate duration vectors to verify true neutrality across the curve.
Historical Context
The 2022–2023 Fed tightening cycle generated some of the most dramatic butterfly dynamics in a generation. As the Fed hiked from near-zero to 5.25–5.50% between March 2022 and July 2023, the 2s5s10s butterfly swung from approximately −30 bps (belly rich) in early 2022, when markets were still pricing a modest, orderly normalization, to roughly +40 bps (belly cheap) by mid-2022, a 70 bps swing in under six months. The 5-year sector was caught in a pricing vacuum: 2-year yields were rapidly repriced for imminent hikes, 10-year yields were pulled lower by recession fears and term premium compression, while the 5-year had to absorb the maximum uncertainty about whether the terminal rate would land at 3%, 4%, or 5%.
Earlier, in the 2004–2006 hiking cycle, the butterfly followed a textbook arc: initial belly cheapening as the Fed began measured 25 bps hikes, followed by a sharp reversal into negative territory in 2006 as the yield curve inverted and recession risk repricing concentrated demand in the 5-year sector. That cycle produced belly richening of roughly 25–30 bps from peak to trough, a significant return for a duration-neutral position.
Limitations and Caveats
Butterfly trades carry meaningful structural vulnerabilities that traders must manage actively. Treasury auction supply is among the most disruptive: a weak 5-year auction, reflected in a low bid-to-cover ratio or a large tail, can cheapen the belly by several basis points in hours, creating a false curvature signal that reverses once the technical overhang clears. This is especially pronounced in months with heavy refunding supply.
The duration-neutrality assumption breaks down during large MBS convexity hedging episodes, where the belly is sold mechanically at scale regardless of valuation. During the 2013 taper tantrum and again in early 2022, these flows dominated butterfly dynamics for weeks, drowning out macroeconomic signal. Additionally, managing butterfly positions across Treasury futures introduces roll risk and cheapest-to-deliver optionality differences between contract months, adding operational complexity that can silently erode realized edge even when the directional view proves correct.
What to Watch
- Weekly 2s5s10s spread levels versus 52-week and cycle averages to contextualize mean-reversion setups and identify extreme readings
- MBS convexity hedging flow estimates from broker-dealer research, which isolate technical belly supply/demand from macro-driven curvature moves
- SOFR options and futures implied distributions for the terminal Fed Funds Rate, wider distributions systematically cheapen the belly; narrowing distributions trigger belly richening
- 5-year Treasury auction metrics, bid-to-cover ratios, dealer takedowns, and auction tails signal near-term technical belly richness or cheapness independent of macro drivers
- Fed communication cadence, FOMC meeting cycles and dot plot releases are the single largest scheduled catalysts for butterfly repricing, often moving the spread 10–20 bps on a single statement
Recent Data
Download CSV| Date | Value | Change |
|---|---|---|
| May 14, 2026 | 5.02% | -0.20% |
| May 13, 2026 | 5.03% | +0.00% |
| May 12, 2026 | 5.03% | +1.00% |
| May 11, 2026 | 4.98% | +0.61% |
| May 8, 2026 | 4.95% | -0.40% |
| May 7, 2026 | 4.97% | +0.61% |
| May 6, 2026 | 4.94% | -0.80% |
| May 5, 2026 | 4.98% | -0.80% |
| May 4, 2026 | 5.02% | +1.01% |
| May 1, 2026 | 4.97% | -0.20% |
| Apr 30, 2026 | 4.98% | +0.00% |
| Apr 29, 2026 | 4.98% | +0.81% |
| Apr 28, 2026 | 4.94% | +0.00% |
| Apr 27, 2026 | 4.94% | +0.61% |
| Apr 24, 2026 | 4.91% | -0.20% |
| Apr 23, 2026 | 4.92% | +0.41% |
| Apr 22, 2026 | 4.90% | +0.20% |
| Apr 21, 2026 | 4.89% | +0.20% |
| Apr 20, 2026 | 4.88% | +0.00% |
| Apr 17, 2026 | 4.88% | -1.01% |
| Apr 16, 2026 | 4.93% | +0.82% |
| Apr 15, 2026 | 4.89% | +0.41% |
| Apr 14, 2026 | 4.87% | -0.61% |
| Apr 13, 2026 | 4.90% | — |
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Data sourced from FRED, CoinGecko, CBOE, CFTC, and EIA. Updated daily. This page is for informational purposes only and does not constitute financial advice.