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A nine-month estimate, interpolated between the 3-month and 1-year points

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 2026-10-07, from T-Bill Maturities and How Yields Are Quoted.

as of series 26×5read in context →
A nine-month estimate, interpolated between the 3-month and 1-year points — 26 rows by 5 columns, computed from US exchange, SIP and OPRA data.
weekweek_labelbill_3m_pctinterp_9m_pctbill_1y_pct
2026-03-30Mar 303.73.73.69
2026-04-06Apr 63.73.73.69
2026-04-13Apr 133.713.693.69
2026-04-20Apr 203.693.683.68
2026-04-27Apr 273.683.713.72
2026-05-04May 43.693.743.76
2026-05-11May 113.693.763.8
2026-05-18May 183.673.773.82
2026-05-25May 253.693.763.8
2026-06-01Jun 13.783.823.84
2026-06-08Jun 83.793.843.87
2026-06-15Jun 153.813.883.91
2026-06-22Jun 223.843.943.99
2026-06-29Jun 293.853.943.98
2026-07-06Jul 63.863.974.03
2026-07-13Jul 133.853.964.02
2026-07-20Jul 203.914.044.1
2026-07-27Jul 273.874.014.08
2026-08-03Aug 33.893.994.04
2026-08-10Aug 103.883.964
2026-08-17Aug 173.873.964
2026-08-24Aug 243.863.994.05
2026-08-31Aug 313.914.074.15
2026-09-07Sep 73.994.154.24
2026-09-14Sep 144.124.314.41
2026-09-21Sep 214.24.384.48
Rows × columns
26 × 5
Period covered
to
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 A nine-month estimate, interpolated between the 3-month and 1-year points, derived from the stored result.
ColumnTypeRangeNotes
week date 2026-03-30 to 2026-09-21
week_label text 26 distinct values (Apr 13, Apr 20, Apr 27…)
bill_3m_pct number 3.67 to 4.2 percent
interp_9m_pct number 3.68 to 4.38 percent
bill_1y_pct number 3.68 to 4.48 percent

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
    toString(toMonday(date))                AS week,
    formatDateTime(toMonday(date), '%b %e') AS week_label,
    round(avg(toFloat64(yield_3_month)), 2) AS bill_3m_pct,
    round(avg(
        toFloat64(yield_3_month)
        + (toFloat64(yield_1_year) - toFloat64(yield_3_month)) * (273 - 91) / (365 - 91)
    ), 2)                                   AS interp_9m_pct,
    round(avg(toFloat64(yield_1_year)), 2)  AS bill_1y_pct
FROM global_markets.treasury_yields
WHERE date >= '2026-04-01'
  AND date <  '2026-09-26'
  AND yield_3_month > 0
  AND yield_1_year  > 0
GROUP BY week, week_label
ORDER BY week
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