The month on one row: open, close, extremes, volume, and their receipts
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 2026-07-26, from NVDA: NVIDIA's Full June 2026, Tick by Tick.
- Rows × columns
- 1 × 25
- Period covered
- 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 |
|---|---|---|---|
month_open |
number | every row is 215.77 | US dollars |
month_close |
number | every row is 199.76 | US dollars |
month_change_pct |
number | every row is -7.4 | percent |
month_decline_abs_pct |
number | every row is 7.4 | percent |
peak_close_date |
date | 2026-06-01 | |
peak_close |
number | every row is 224.43 | US dollars |
month_high |
number | every row is 235 | US dollars |
month_high_first_bar_et |
date | 2026-06-02 | |
bars_within_cent_of_high |
number | every row is 1 | US dollars |
high_minute_trades |
number | every row is 9,329 | US dollars |
rth_month_high |
number | every row is 232.28 | US dollars |
rth_high_first_bar_et |
date | 2026-06-02 | |
rth_bars_near_high |
number | every row is 1 | US dollars |
month_low |
number | every row is 189.8 | US dollars |
month_low_bar_et |
date | 2026-06-29 | |
bars_within_cent_of_low |
number | every row is 1 | US dollars |
low_minute_trades |
number | every row is 43,131 | US dollars |
rth_month_low |
number | every row is 189.8 | US dollars |
rth_minus_extended_low |
number | every row is 0 | US dollars |
month_shares_bn |
number | every row is 2.75 | count |
month_dollar_bn |
number | every row is 571.9 | |
rth_dollar_bn |
number | every row is 523 | |
rth_shares_bn |
number | every row is 2.52 | count |
session_days_observed |
number | every row is 21 | |
spy_bars_june19 |
number | every row is 0 |
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
(
SELECT (toString(argMax(et_date, c)), max(c), argMax(c, et_date))
FROM (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
argMax(toFloat64(close), window_start) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
GROUP BY et_date
)
) AS closes,
(
SELECT max(toFloat64(high)) FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS hi,
(
SELECT min(toFloat64(low)) FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS lo,
(
SELECT maxIf(toFloat64(high), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS rth_hi,
(
SELECT minIf(toFloat64(low), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS rth_lo,
(
SELECT count() FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2026-06-19 00:00:00') AND window_start < toDateTime('2026-06-20 00:00:00')
) AS spy_jun19
SELECT
round(toFloat64(argMin(open, window_start)), 2) AS month_open,
closes.3 AS month_close,
round((closes.3 / toFloat64(argMin(open, window_start)) - 1) * 100, 1) AS month_change_pct,
round((1 - closes.3 / toFloat64(argMin(open, window_start))) * 100, 1) AS month_decline_abs_pct,
closes.1 AS peak_close_date,
round(closes.2, 2) AS peak_close,
round(hi, 2) AS month_high,
formatDateTime(toTimeZone(minIf(window_start, toFloat64(high) >= hi - 0.011), 'America/New_York'), '%Y-%m-%d %H:%i') AS month_high_first_bar_et,
countIf(toFloat64(high) >= hi - 0.011) AS bars_within_cent_of_high,
argMinIf(transactions, window_start, toFloat64(high) >= hi - 0.011) AS high_minute_trades,
round(rth_hi, 2) AS rth_month_high,
formatDateTime(toTimeZone(minIf(window_start, toFloat64(high) >= rth_hi - 0.011 AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 'America/New_York'), '%Y-%m-%d %H:%i') AS rth_high_first_bar_et,
countIf(toFloat64(high) >= rth_hi - 0.011 AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) AS rth_bars_near_high,
round(lo, 2) AS month_low,
formatDateTime(toTimeZone(minIf(window_start, toFloat64(low) <= lo + 0.011), 'America/New_York'), '%Y-%m-%d %H:%i') AS month_low_bar_et,
countIf(toFloat64(low) <= lo + 0.011) AS bars_within_cent_of_low,
argMin(transactions, toFloat64(low)) AS low_minute_trades,
round(rth_lo, 2) AS rth_month_low,
round(rth_lo - lo, 2) AS rth_minus_extended_low,
round(toFloat64(sum(volume)) / 1e9, 2) AS month_shares_bn,
round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 1) AS month_dollar_bn,
round(sumIf(toFloat64(close) * toFloat64(volume), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / 1e9, 1) AS rth_dollar_bn,
round(sumIf(toFloat64(volume), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / 1e9, 2) AS rth_shares_bn,
uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS session_days_observed,
spy_jun19 AS spy_bars_june19
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
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