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The same monthly lots ranked by per share result at the December 2022 price

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 2026-08-01, from Selling Mutual Funds at a Loss: How Basis Works.

as of ranking 18×3read in context →
The same monthly lots ranked by per share result at the December 2022 price — 18 rows by 3 columns, computed from US exchange, SIP and OPRA data.
labelcost_per_share_usdper_share_result_usd
Dec 2021241.48-50.23
Oct 2021236.92-45.67
Nov 2021233.47-42.22
Aug 2021233.17-41.92
Mar 2022227.76-36.51
Jan 2022226.82-35.57
Jul 2021226.72-35.47
Sep 2021222.03-30.78
Feb 2022221.16-29.91
Apr 2022207.14-15.89
May 2022206.57-15.32
Jul 2022206.28-15.02
Nov 2022204.07-12.82
Aug 2022198.56-7.31
Oct 2022194-2.75
Dec 2022191.250
Jun 2022188.742.51
Sep 2022179.3711.88
Rows × columns
18 × 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 same monthly lots ranked by per share result at the December 2022 price, derived from the stored result.
ColumnTypeRangeNotes
label text 18 distinct values (Apr 2022, Aug 2021, Aug 2022…)
cost_per_share_usd number 179.37 to 241.48 US dollars
per_share_result_usd number -50.23 to 11.88 US dollars

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 
WITH monthly AS (
    SELECT toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York'))) AS month_start,
           argMax(close, window_start) AS close_price
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'VTI'
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2021-07-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2022-12-31')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY month_start
),
sale AS (
    SELECT argMax(close_price, month_start) AS sale_price
    FROM monthly
)
SELECT formatDateTimeInJodaSyntax(m.month_start, 'MMM yyyy') AS label,
       round(m.close_price, 2) AS cost_per_share_usd,
       round(s.sale_price - m.close_price, 2) AS per_share_result_usd
FROM monthly AS m
CROSS JOIN sale AS s
ORDER BY per_share_result_usd ASC

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