STRASMORE/EXPLORE 2,749 QUERIES

inversions

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 2026-09-28, from what-is-the-5s30s-spread.

as of table 14×5read in context →
inversions — 14 rows by 5 columns, computed from US exchange, SIP and OPRA data.
startedendedsession_countdeepest_spread_bpsaverage_spread_bps
Jan 26, 2000Sep 15, 2000163-61-40
Sep 19, 2000Sep 26, 20006-4-2
Oct 26, 2000Nov 1, 20005-7-4
Feb 9, 2006Mar 13, 200622-12-5
Apr 1, 2022Apr 7, 20225-12-8
Sep 13, 2022Oct 21, 202228-43-21
Oct 28, 2022Nov 8, 20228-18-9
Nov 17, 2022Dec 27, 202227-27-11
Dec 29, 2022Jan 6, 20236-12-5
Feb 3, 2023Mar 10, 202325-46-22
Jun 9, 2023Aug 2, 202337-36-16
Aug 11, 2023Aug 17, 20235-7-4
Aug 21, 2023Aug 31, 20239-14-7
Sep 6, 2023Sep 22, 202313-12-5
Rows × columns
14 × 5
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 inversions, derived from the stored result.
ColumnTypeRangeNotes
started text 14 distinct values (Apr 1, 2022, Aug 11, 2023, Aug 21, 2023…)
ended text 14 distinct values (Apr 7, 2022, Aug 17, 2023, Aug 2, 2023…)
session_count number 5 to 163 count
deepest_spread_bps number -61 to -4
average_spread_bps number -40 to -2

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.

WITH daily AS
(
    SELECT
        date,
        toFloat64(yield_30_year) - toFloat64(yield_5_year) AS spread
    FROM global_markets.treasury_yields
    WHERE date >= subtractYears(today(), 30)
      AND yield_5_year  > 0
      AND yield_30_year > 0
),
islands AS
(
    SELECT
        date,
        spread,
        row_number() OVER (ORDER BY date)
            - row_number() OVER (PARTITION BY spread < 0 ORDER BY date) AS island
    FROM daily
)
SELECT
    formatDateTime(min(date), '%b %e, %Y') AS started,
    formatDateTime(max(date), '%b %e, %Y') AS ended,
    count()                                AS session_count,
    round(min(spread) * 100, 0)            AS deepest_spread_bps,
    round(avg(spread) * 100, 0)            AS average_spread_bps
FROM islands
WHERE spread < 0
GROUP BY island
HAVING session_count >= 5
ORDER BY min(date)
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