STRASMORE/EXPLORE 2,985 QUERIES

The Treasury curve, June 29 close vs June 26 (populated maturities only)

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-07-26, from Market Recap: June 29, 2026, The Day in Numbers.

as of ranking 8×3read in context →
The Treasury curve, June 29 close vs June 26 (populated maturities only) — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
curve_pointjun29_yield_pctone_day_change_bp
1 month3.711
3 month3.874
1 year3.973
2 year4.13
5 year4.142
10 year4.380
30 year4.86-1
2s10s spread0.28-3
Rows × columns
8 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for The Treasury curve, June 29 close vs June 26 (populated maturities only), derived from the stored result.
ColumnTypeRangeNotes
curve_point text 8 distinct values (1 month, 1 year, 10 year…)
jun29_yield_pct number 0.28 to 4.86 percent
one_day_change_bp number -3 to 4

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

SELECT
    t.1 AS curve_point,
    round(t.2, 2) AS jun29_yield_pct,
    round((t.2 - t.3) * 100) AS one_day_change_bp
FROM (
    SELECT arrayJoin([
        ('1 month',  toFloat64(mon.yield_1_month),  toFloat64(fri.yield_1_month)),
        ('3 month',  toFloat64(mon.yield_3_month),  toFloat64(fri.yield_3_month)),
        ('1 year',   toFloat64(mon.yield_1_year),   toFloat64(fri.yield_1_year)),
        ('2 year',   toFloat64(mon.yield_2_year),   toFloat64(fri.yield_2_year)),
        ('5 year',   toFloat64(mon.yield_5_year),   toFloat64(fri.yield_5_year)),
        ('10 year',  toFloat64(mon.yield_10_year),  toFloat64(fri.yield_10_year)),
        ('30 year',  toFloat64(mon.yield_30_year),  toFloat64(fri.yield_30_year)),
        ('2s10s spread', toFloat64(mon.yield_10_year - mon.yield_2_year), toFloat64(fri.yield_10_year - fri.yield_2_year))
    ]) AS t
    FROM (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-29') AS mon,
         (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-26') AS fri
)
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisMarket Recap: June 29, 2026, The Day in Numbers
Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions) series 13×4 → The eleven sector baskets: June 29 vs the June 26 close, regular hours table 11×6 → Volume leaders two ways: top 6 by dollars traded, top 4 by shares traded table 10×6 → SPY / QQQ / DIA / IWM: June 29 vs the June 26 close, regular hours table 4×9 → What it cost to cross the spread: NBBO updates and median quoted width, regular hours table 4×7 → The memory/storage names: change vs Friday's close and intraday range table 4×9 → See all 2,985 queries →