STRASMORE/EXPLORE 2,170 QUERIES

The January 2019 universe, grouped by what happened to each name

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 2026-08-22, from Survivorship Bias in Stock Data, Explained.

as of ranking 9×4read in context →
The January 2019 universe, grouped by what happened to each name — 9 rows by 4 columns, computed from US exchange, SIP and OPRA data.
outcome_labelcohort_sizeavg_return_pctshare_above_entry_pct
Last bar in 201911912.272.3
Last bar in 20209020.953.3
Last bar in 20219762.179.4
Last bar in 2022975666
Last bar in 20238333.256.6
Last bar in 20247619.753.9
Last bar in 20258470.352.4
Last bar in 20264975.563.3
Still trading1951138.172.4
Rows × columns
9 × 4
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 January 2019 universe, grouped by what happened to each name, derived from the stored result.
ColumnTypeRangeNotes
outcome_label text 9 distinct values
cohort_size number 49 to 1,951
avg_return_pct number 12.2 to 138.1 percent
share_above_entry_pct number 52.4 to 79.4 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
WITH
    entry AS
    (
        SELECT
            ticker,
            argMin(toFloat64(close), date) AS entry_close
        FROM global_markets.stocks_daily_aggs
        WHERE date BETWEEN '2019-01-01' AND '2019-01-31'
          AND ticker NOT IN ('SPCX')
        GROUP BY ticker
        HAVING argMin(toFloat64(close), date) >= 5
           AND avg(volume) >= 250000
    ),
    outcome AS
    (
        SELECT
            ticker,
            argMax(toFloat64(close), date) AS final_close,
            max(date)                      AS last_bar
        FROM global_markets.stocks_daily_aggs
        WHERE date >= '2019-01-01'
        GROUP BY ticker
    )
SELECT
    if(o.last_bar >= today() - 45,
       'Still trading',
       concat('Last bar in ', toString(toYear(o.last_bar))))            AS outcome_label,
    count()                                                             AS cohort_size,
    round(100 * avg(o.final_close / e.entry_close - 1), 1)              AS avg_return_pct,
    round(100 * countIf(o.final_close > e.entry_close) / count(), 1)    AS share_above_entry_pct
FROM entry AS e
INNER JOIN outcome AS o ON o.ticker = e.ticker
GROUP BY outcome_label
ORDER BY outcome_label

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