STRASMORE/EXPLORE 2,985 QUERIES

Crypto-adjacent financials: change vs Monday's close, range, and dollar volume

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 Market Recap: June 30, 2026, The Day in Numbers.

as of table 4×10read in context →
Crypto-adjacent financials: change vs Monday's close, range, and dollar volume — 4 rows by 10 columns, computed from US exchange, SIP and OPRA data.
tickerprior_closeday_closepct_chgday_highday_high_etday_lowday_low_etrange_pctday_dollar_bn
COIN151.66146.19-3.61148.8609:30142.311:064.611.07
CRCL75.9762.65-17.5373.209:3262.5215:5917.082.24
HOOD101.83100.27-1.53103.0611:2999.6614:123.411.53
MSTR92.6886.93-6.288.2610:3083.4211:065.82.52
Rows × columns
4 × 10
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Crypto-adjacent financials: change vs Monday's close, range, and dollar volume, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (COIN, CRCL, HOOD…)
prior_close number 75.97 to 151.66 US dollars
day_close number 62.65 to 146.19 US dollars
pct_chg number -17.53 to -1.53 percent
day_high number 73.2 to 148.86 US dollars
day_high_et text 4 distinct values (09:30, 09:32, 10:30…)
day_low number 62.52 to 142.3 US dollars
day_low_et text 3 distinct values (11:06, 14:12, 15:59)
range_pct number 3.41 to 17.08 percent
day_dollar_bn number 1.07 to 2.52

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 per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-06-30 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-06-30 00:00:00')) AS day_close,
        maxIf(toFloat64(high), window_start >= '2026-06-30 00:00:00') AS day_high,
        minIf(toFloat64(low), window_start >= '2026-06-30 00:00:00') AS day_low,
        argMinIf(window_start, toFloat64(low), window_start >= '2026-06-30 00:00:00') AS low_bar,
        argMaxIf(window_start, toFloat64(high), window_start >= '2026-06-30 00:00:00') AS high_bar,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-06-30 00:00:00') / 1e9, 2) AS day_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('COIN', 'CRCL', 'HOOD', 'MSTR')
      AND ((window_start >= '2026-06-29 13:30:00' AND window_start < '2026-06-29 20:00:00')
        OR (window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    round(day_high, 2) AS day_high,
    formatDateTime(toTimeZone(high_bar, 'America/New_York'), '%H:%i') AS day_high_et,
    round(day_low, 2) AS day_low,
    formatDateTime(toTimeZone(low_bar, 'America/New_York'), '%H:%i') AS day_low_et,
    round((day_high / day_low - 1) * 100, 2) AS range_pct,
    day_dollar_bn
FROM per_name
ORDER BY ticker
⌘/Ctrl + Enter

Làm việc với dữ liệu này trong trợ lý AI của bạn

Mở ra sẵn sàng truy vấn, với dữ liệu của trang này. Miễn phí, không cần tài khoản.

More from this analysisMarket Recap: June 30, 2026, The Day in Numbers
Volume leaders two ways: top 6 by dollars traded, top 4 by shares traded (one reused-symbol listing excluded pending entity verification) table 10×6 → The ten S&P sector funds on June 30: change vs Monday's close, and how far each sat behind the leader table 10×7 → Top 5 gainers and top 5 decliners among names with $10M+ traded on June 30 (one reused-symbol listing excluded) table 10×8 → The semiconductor and storage names: change vs Monday's close, range, and dollar volume table 6×10 → SPY / QQQ / DIA / IWM: June 30 vs the June 29 close, regular hours table 4×8 → Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions) series 13×3 → See all 2,985 queries →