STRASMORE/EXPLORE 3,293 QUERIES

SPY daily closes from the VIX record close (March 16, 2020) through March 27

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 2026-10-24, from What Is a High VIX? Levels and Extremes.

as of series 10×4read in context →
SPY daily closes from the VIX record close (March 16, 2020) through March 27 — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_datedate_labelspy_closeday_change_pct
2020-03-16Mar 16239.85-10.94
2020-03-17Mar 17252.85.4
2020-03-18Mar 18240-5.06
2020-03-19Mar 19240.510.21
2020-03-20Mar 20228.8-4.87
2020-03-23Mar 23222.95-2.56
2020-03-24Mar 24243.159.06
2020-03-25Mar 25246.791.5
2020-03-26Mar 26261.25.84
2020-03-27Mar 27253.42-2.98
Rows × columns
10 × 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 SPY daily closes from the VIX record close (March 16, 2020) through March 27, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2020-03-16 to 2020-03-27
date_label text 10 distinct values (Mar 16, Mar 17, Mar 18…)
spy_close number 222.95 to 261.2 US dollars
day_change_pct number -10.94 to 9.06 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(d)                                   AS session_date,
    formatDateTime(d, '%b %e')                    AS date_label,
    round(c, 2)                                   AS spy_close,
    round((c / prev_c - 1) * 100, 2)              AS day_change_pct
FROM
(
    SELECT
        d,
        c,
        lagInFrame(c, 1) OVER (ORDER BY d ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_c
    FROM
    (
        SELECT
            date                    AS d,
            toFloat64(any(close))   AS c
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'SPY'
          AND date >= '2020-03-13'
          AND date <= '2020-03-27'
        GROUP BY d
    )
)
WHERE d >= '2020-03-16'
ORDER BY d
⌘/Ctrl + Enter

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