Excluded from the boards: 2026 splits large enough to fake a year-to-date move
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 2026-10-08, from Biggest Stock Gainers & Losers of 2026.
| ticker | unadjusted_ytd_pct | split_price_effect_pct | split_type | split_date |
|---|---|---|---|---|
| BKNG | -97.1 | -96 | forward split | 2026-04-06 |
| CVNA | -84.9 | -80 | forward split | 2026-05-08 |
| KLAC | -84.3 | -90 | forward split | 2026-06-12 |
| VGT | -83 | -87.5 | forward split | 2026-04-21 |
| VUG | -81.2 | -83.3 | forward split | 2026-04-21 |
| VOOG | -80.4 | -83.3 | forward split | 2026-04-21 |
| MGK | -77.1 | -80 | forward split | 2026-04-21 |
| HDV | -76.7 | -80 | forward split | 2026-04-29 |
| IWF | -72.9 | -75 | forward split | 2026-04-29 |
| VO | -72.2 | -75 | forward split | 2026-04-21 |
| MNST | -43.6 | -50 | stock dividend | 2026-08-11 |
| CRWD | -41.2 | -75 | stock dividend | 2026-07-02 |
| INTW | -39.8 | -87.5 | forward split | 2026-06-26 |
| APH | -35.4 | -50 | stock dividend | 2026-09-03 |
| ETHA | 165.6 | 200 | reverse split | 2026-10-06 |
- Rows × columns
- 15 × 5
- Period covered
- to
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ticker |
text | 15 distinct values (APH, BKNG, CRWD…) | |
unadjusted_ytd_pct |
number | -97.1 to 165.6 | percent |
split_price_effect_pct |
number | -96 to 200 | percent |
split_type |
text | 3 distinct values | |
split_date |
date | 2026-04-06 to 2026-10-06 |
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.
WITH complete AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2026-01-01 00:00:00')
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
GROUP BY d
HAVING count() >= 380
),
universe AS (
SELECT ticker,
sum(toFloat64(close) * toFloat64(volume)) / uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS adv
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 21 DAY
AND toDate(toTimeZone(window_start, 'America/New_York')) >= today() - 20
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT d FROM complete)
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
GROUP BY ticker
HAVING adv >= 100000000
),
split_terms AS (
SELECT ticker,
argMax(split_to, execution_date) AS new_shares,
argMax(split_from, execution_date) AS old_shares,
round((old_shares / new_shares - 1) * 100, 1) AS split_price_effect_pct,
replaceAll(argMax(adjustment_type, execution_date), '_', ' ') AS split_type,
toString(max(execution_date)) AS split_date
FROM global_markets.stocks_splits
WHERE execution_date BETWEEN toDate('2026-01-01') AND today()
GROUP BY ticker
HAVING new_shares > 0 AND old_shares > 0
AND greatest(new_shares / old_shares, old_shares / new_shares) >= 1.25
),
edges AS (
SELECT ticker,
argMinIf(toFloat64(open), toTimeZone(window_start, 'America/New_York'), toDate(toTimeZone(window_start, 'America/New_York')) = (SELECT min(d) FROM complete)) AS year_open,
argMaxIf(toFloat64(close), toTimeZone(window_start, 'America/New_York'), toDate(toTimeZone(window_start, 'America/New_York')) = (SELECT max(d) FROM complete)) AS latest_close,
countIf(toDate(toTimeZone(window_start, 'America/New_York')) = (SELECT min(d) FROM complete)) AS bars_open,
countIf(toDate(toTimeZone(window_start, 'America/New_York')) = (SELECT max(d) FROM complete)) AS bars_close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ((window_start >= toDateTime('2026-01-01 00:00:00') AND window_start < toDateTime('2026-01-10 00:00:00'))
OR (window_start >= now() - INTERVAL 8 DAY))
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
AND ticker NOT IN ('SPCX')
AND ticker NOT IN ('KORU','SOXL','SOXS','SOXY','TQQQ','SQQQ','QQQU','SPXL','SPXS','UPRO','SPXU','SPYU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','GDXU','GDXD','FNGU','FNGD','DUST','JNUG','JDST','NUGT','BITX','BITU','SBIT','ETHU','ETHT','NVDL','NVDS','NVD','NVDX','NVDU','NVDD','NVDQ','TSLL','TSLQ','TSLZ','TSLR','TSLT','TSLS','TSDD','AAPU','AAPD','MSFU','MSFD','GGLL','GGLS','AMZU','AMZD','METU','METD','PLTU','PLTD','SMCX','SMCZ','CONL','CONI','MSTX','MSTU','MSTZ','BRKU','AMDL','AMUU','AMDD','ELIL','ELIS','HOOX','AVGX','AVGU','TSMX','TSMZ','MULL')
AND ticker IN (SELECT ticker FROM split_terms)
GROUP BY ticker
HAVING bars_open >= 100 AND bars_close >= 100
),
ranked AS (
SELECT e.ticker AS ticker,
round((e.latest_close / e.year_open - 1) * 100, 1) AS unadjusted_ytd_pct,
s.split_price_effect_pct AS split_price_effect_pct,
s.split_type AS split_type,
s.split_date AS split_date
FROM edges AS e
INNER JOIN split_terms AS s ON e.ticker = s.ticker
WHERE e.year_open >= 10 AND e.ticker IN (SELECT ticker FROM universe)
)
SELECT ticker, unadjusted_ytd_pct, split_price_effect_pct, split_type, split_date
FROM (
SELECT ticker, unadjusted_ytd_pct, split_price_effect_pct, split_type, split_date,
row_number() OVER (ORDER BY unadjusted_ytd_pct ASC) AS rn_low,
row_number() OVER (ORDER BY unadjusted_ytd_pct DESC) AS rn_high
FROM ranked
)
WHERE rn_low <= 14 OR rn_high = 1
ORDER BY unadjusted_ytd_pct ASC
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