STRASMORE/EXPLORE 2,948 QUERIES

split_era_prices

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 2026-10-02, from wmt-stock-split-history.

as of ranking 12×3read in context →
split_era_prices — 12 rows by 3 columns, computed from US exchange, SIP and OPRA data.
yearyear_end_closeyear_high
201428.6329.36
201520.4330.32
201623.0425.06
201732.9233.38
201831.0536.66
201939.6141.79
202048.0551.22
202148.2350.86
202247.2653.59
202352.5556.65
202490.3596.18
2025111.41117.45
Rows × columns
12 × 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 split_era_prices, derived from the stored result.
ColumnTypeRangeNotes
year text 12 distinct values (2014, 2015, 2016…)
year_end_close number 20.43 to 111.41 US dollars
year_high number 25.06 to 117.45 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.

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(toYear(date))                   AS year,
    toFloat64(round(argMax(close, date), 2)) AS year_end_close,
    toFloat64(round(max(high), 2))           AS year_high
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'WMT'
  AND date >= '2014-01-01'
  AND date <  '2026-01-01'
GROUP BY year
ORDER BY year
⌘/Ctrl + Enter

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