STRASMORE/EXPLORE 2,433 QUERIES

The Treasury curve, July 1 close vs June 30 (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: July 1, 2026, The Day in Numbers.

as of ranking 8×3read in context →
The Treasury curve, July 1 close vs June 30 (populated maturities only) — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
curve_pointjul1_yield_pctone_day_change_bp
1 month3.67-3
3 month3.85-2
1 year42
2 year4.173
5 year4.245
10 year4.484
30 year4.976
2s10s spread0.311
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, July 1 close vs June 30 (populated maturities only), derived from the stored result.
ColumnTypeRangeNotes
curve_point text 8 distinct values (1 month, 1 year, 10 year…)
jul1_yield_pct number 0.31 to 4.97 percent
one_day_change_bp number -3 to 6

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 jul1_yield_pct,
    round((t.2 - t.3) * 100) AS one_day_change_bp
FROM (
    SELECT arrayJoin([
        ('1 month',  toFloat64(d.yield_1_month),  toFloat64(p.yield_1_month)),
        ('3 month',  toFloat64(d.yield_3_month),  toFloat64(p.yield_3_month)),
        ('1 year',   toFloat64(d.yield_1_year),   toFloat64(p.yield_1_year)),
        ('2 year',   toFloat64(d.yield_2_year),   toFloat64(p.yield_2_year)),
        ('5 year',   toFloat64(d.yield_5_year),   toFloat64(p.yield_5_year)),
        ('10 year',  toFloat64(d.yield_10_year),  toFloat64(p.yield_10_year)),
        ('30 year',  toFloat64(d.yield_30_year),  toFloat64(p.yield_30_year)),
        ('2s10s spread', toFloat64(d.yield_10_year - d.yield_2_year), toFloat64(p.yield_10_year - p.yield_2_year))
    ]) AS t
    FROM (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-07-01') AS d,
         (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-30') AS p
)
⌘/Ctrl + Enter
More from this analysisMarket Recap: July 1, 2026, The Day in Numbers
The day's last twelve news articles tagging MU, SNDK, STX, WDC or META (one licensed feed) table 12×4 The eleven S&P sector ETFs on July 1, best to worst vs Tuesday's close table 11×7 Volume leaders two ways: top 6 by dollars traded, top 4 by shares traded (one reused-symbol listing excluded pending entity verification) table 10×6 The biggest names going ex-dividend on July 1, ranked by the day's dollar volume table 8×7 The memory complex and the megacaps: change vs Tuesday's close, range timing, and dollar volume table 8×9 The volatility complex on July 1: VIX-futures ETFs vs Tuesday's close, with SPY as the anchor table 5×5 See all 2,433 queries →