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Model-based inflation expectations by horizon, monthly

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 2026-08-11, from Macro Picture Entering H2 2026, With Receipts.

as of ranking 6×4read in context →
Model-based inflation expectations by horizon, monthly — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
period_startexp_1y_pctexp_5y_pctexp_10y_pct
2026-01-012.592.342.33
2026-02-012.592.372.37
2026-03-012.292.242.26
2026-04-013.262.482.4
2026-05-013.542.592.48
2026-06-013.022.542.49
Rows × columns
6 × 4
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 Model-based inflation expectations by horizon, monthly, derived from the stored result.
ColumnTypeRangeNotes
period_start date 2026-01-01 to 2026-06-01
exp_1y_pct number 2.29 to 3.54 percent
exp_5y_pct number 2.24 to 2.59 percent
exp_10y_pct number 2.26 to 2.49 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.

the exact SQL behind every number
SELECT toString(date) AS period_start,
    round(model_1_year, 2) AS exp_1y_pct,
    round(model_5_year, 2) AS exp_5y_pct,
    round(model_10_year, 2) AS exp_10y_pct
FROM global_markets.inflation_expectations
WHERE date >= toDate('2026-01-01') AND date <= toDate('2026-06-30')
ORDER BY date

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