Biggest stock gainers this month (companies trading $1B+ over the window)
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 2026-08-25, from Biggest Stock Movers This Month.
| ticker | month_return_pct | month_dollar_bn |
|---|---|---|
| MRNA | 193.9 | 29 |
| AMLX | 110.6 | 1.6 |
| TEAM | 92.4 | 13.3 |
| HTFL | 80.7 | 1.2 |
| RNG | 69.9 | 2.5 |
| U | 56.6 | 8.9 |
| FBRX | 53.5 | 3.1 |
| P | 53.1 | 4.8 |
| PAYC | 52.9 | 3.3 |
| CACI | 49 | 2.9 |
- Rows × columns
- 10 × 3
- 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 | 10 distinct values (AMLX, CACI, FBRX…) | |
month_return_pct |
number | 49 to 193.9 | percent |
month_dollar_bn |
number | 1.2 to 29 |
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 window_days AS (
SELECT d
FROM (
SELECT d, max(d) OVER () AS last_full
FROM (
SELECT d
FROM (
SELECT d, bars, medianExact(bars) OVER () AS typical_bars
FROM (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d, count() AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 34 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 d
HAVING d < toDate(toTimeZone(now(), 'America/New_York'))
)
)
WHERE bars >= 0.85 * typical_bars
)
)
WHERE d > last_full - 30
)
SELECT ticker,
round((argMax(c, d) / argMin(o, d) - 1) * 100, 1) AS month_return_pct,
round(sum(dollars) / 1e9, 1) AS month_dollar_bn
FROM (
SELECT ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
argMin(toFloat64(open), window_start) AS o,
argMax(toFloat64(close), window_start) AS c,
sum(toFloat64(close) * toFloat64(volume)) AS dollars
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 34 DAY
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT d FROM window_days)
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','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
AND ticker IN (SELECT ticker FROM global_markets.stocks_ratios
WHERE market_cap > 0)
AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
WHERE execution_date BETWEEN today() - 45 AND today())
GROUP BY ticker, d
)
GROUP BY ticker
HAVING sum(dollars) >= 1000000000 AND argMin(o, d) >= 10 AND count() >= 15
ORDER BY argMax(c, d) / argMin(o, d) DESC
LIMIT 10
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