Opening prints on settlement morning, May 15, 2026: twelve large US constituents
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 2026-08-03, from Nikkei 225 Options and SQ Settlement.
| ticker | open_gap_pct | open_to_close_pct |
|---|---|---|
| MSFT | 1.15 | 1.86 |
| KO | 1.09 | -0.66 |
| WMT | 0.94 | -1.62 |
| XOM | 0.64 | 2.72 |
| JPM | 0.06 | -0.79 |
| JNJ | -0.02 | -1.75 |
| AAPL | -0.09 | 0.79 |
| META | -0.72 | 0.05 |
| GOOGL | -1.19 | 0.13 |
| AMZN | -1.78 | 0.65 |
| CAT | -2.32 | -1.19 |
| NVDA | -2.54 | -1.94 |
- Rows × columns
- 12 × 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 | 12 distinct values (AAPL, AMZN, CAT…) | |
open_gap_pct |
number | -2.54 to 1.15 | percent |
open_to_close_pct |
number | -1.94 to 2.72 | 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 px AS (
SELECT ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
argMin(open, window_start) AS session_open,
argMax(close, window_start) AS session_close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('AAPL','MSFT','NVDA','AMZN','GOOGL','META','JPM','XOM','JNJ','KO','WMT','CAT')
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (toDate('2026-05-14'), toDate('2026-05-15'))
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY ticker, session_date
)
SELECT ticker,
round(100 * (toFloat64(anyIf(session_open, session_date = toDate('2026-05-15')))
/ toFloat64(anyIf(session_close, session_date = toDate('2026-05-14'))) - 1), 2) AS open_gap_pct,
round(100 * (toFloat64(anyIf(session_close, session_date = toDate('2026-05-15')))
/ toFloat64(anyIf(session_open, session_date = toDate('2026-05-15'))) - 1), 2) AS open_to_close_pct
FROM px
GROUP BY ticker
HAVING countIf(session_date = toDate('2026-05-14')) = 1
AND countIf(session_date = toDate('2026-05-15')) = 1
ORDER BY open_gap_pct DESC
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