The screen, stage by stage: how many names survive each filter
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.
| screen_step | names |
|---|---|
| Traded the first and the last full session | 4481 |
| Averaging $100m+ a day over the past month | 1104 |
| Opened 2026 above $10 a share | 1075 |
| Not on the excluded-fund list | 1040 |
| No split or stock dividend in 2026 | 1022 |
- Rows × columns
- 5 × 2
- 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 |
|---|---|---|---|
screen_step |
text | 5 distinct values | |
names |
number | 1,022 to 4,481 |
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
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 sum(toFloat64(close) * toFloat64(volume)) / uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) >= 100000000
),
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
GROUP BY ticker
HAVING bars_open >= 100 AND bars_close >= 100
),
flagged AS (
SELECT ticker,
year_open,
ticker IN (SELECT ticker FROM universe) AS liquid,
ticker NOT IN ('SPCX','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') AS not_geared,
ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
WHERE execution_date BETWEEN toDate('2026-01-01') AND today()) AS no_split
FROM edges
)
SELECT tup.1 AS screen_step, tup.2 AS names
FROM (
SELECT arrayJoin([
('Traded the first and the last full session', count()),
('Averaging $100m+ a day over the past month', countIf(liquid)),
('Opened 2026 above $10 a share', countIf(liquid AND year_open >= 10)),
('Not on the excluded-fund list', countIf(liquid AND year_open >= 10 AND not_geared)),
('No split or stock dividend in 2026', countIf(liquid AND year_open >= 10 AND not_geared AND no_split))
]) AS tup
FROM flagged
)
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