Strasmore Research
Market Recap 2026-07-01

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

The quarter's last session from stored SQL: a growth-led up day, semis into the quarter turn, a crypto counter-current, and a near-empty filing index.

Tuesday, June 30, 2026 — the quarter's last session — was a growth-led up day: QQQ gained 1.63%, SPY 0.73%, and 3349 liquid names rose against 3033 decliners — a narrow positive edge, 51.8% of the liquid tape. The quarter it closed is measured end to end in the Q2 recap; the session before it is the June 29 recap. Every number below is read from a stored query — expand any panel for the exact SQL.

The scoreboard

Every change compares June 30's last regular-session minute bar with Monday June 29's.

QuerySPY / QQQ / DIA / IWM — June 30 vs the June 29 close, regular hours
The exact SQL behind every number
WITH prior AS (
    SELECT ticker, argMax(close, window_start) AS prior_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
      AND window_start >= '2026-06-29 13:30:00' AND window_start < '2026-06-29 20:00:00'
    GROUP BY ticker
),
sess AS (
    SELECT ticker,
           argMin(open, window_start) AS day_open,
           argMax(close, window_start) AS day_close,
           max(high) AS day_high,
           min(low) AS day_low,
           round(toFloat64(sum(volume)) / 1e6, 1) AS shares_traded_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
      AND window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
    GROUP BY ticker
)
SELECT
    s.ticker AS ticker,
    round(toFloat64(p.prior_close), 2) AS prior_close,
    round(toFloat64(s.day_open), 2) AS day_open,
    round(toFloat64(s.day_close), 2) AS day_close,
    round((toFloat64(s.day_close) / toFloat64(p.prior_close) - 1) * 100, 2) AS pct_change,
    round(toFloat64(s.day_high), 2) AS day_high,
    round(toFloat64(s.day_low), 2) AS day_low,
    s.shares_traded_m AS shares_traded_m
FROM sess s
JOIN prior p ON s.ticker = p.ticker
ORDER BY s.ticker

SPY opened at $741.29 and finished at $746.32, near its $748.02 high. QQQ's 1.63% against DIA's 0.12% marks a growth-and-tech day — the price-weighted industrials index barely moved while the growth index ran. IWM added 0.49%.

Was the day unusual?

QuerySPY's open-to-close move ranked against the trailing month of sessions (rank 1 = biggest absolute move)
The exact SQL behind every number
SELECT round(anyIf(oc_pct, d = toDate('2026-06-30')), 2) AS day_move_pct,
       arrayCount(x -> x > abs(anyIf(oc_pct, d = toDate('2026-06-30'))), groupArrayIf(abs(oc_pct), d != toDate('2026-06-30'))) + 1 AS abs_move_rank,
       count() AS sessions_compared,
       toString(min(d)) AS first_session
FROM (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           (argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS oc_pct
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      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 d
)

Measured open-to-close within the session — a different lens from the close-over-close scoreboard above, and the receipt states it — SPY moved 0.68%, ranking 7 of 21 trailing sessions by absolute size — nothing extreme, six trailing sessions moved more. The texture below is where June 30 earned its recap.

Breadth: a narrow positive edge

QueryAdvancers vs decliners among tickers with at least $1M traded on June 30
The exact SQL behind every number
WITH per_ticker 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,
        sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-06-30 00:00:00') AS day_dollar_volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE (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
    countIf(day_close > prior_close AND day_dollar_volume >= 1000000) AS advancers,
    countIf(day_close < prior_close AND day_dollar_volume >= 1000000) AS decliners,
    countIf(day_close = prior_close AND day_dollar_volume >= 1000000) AS unchanged,
    countIf(day_dollar_volume >= 1000000) AS liquid_tickers,
    count() AS tickers_traded_both_sessions,
    count() - countIf(day_dollar_volume >= 1000000) AS dropped_by_liquidity_filter,
    round(100.0 * countIf(day_close > prior_close AND day_dollar_volume >= 1000000)
        / countIf(day_dollar_volume >= 1000000), 1) AS advancer_pct
FROM per_ticker
WHERE prior_close > 0 AND day_close > 0

3349 advancers, 3033 decliners, 88 unchanged: 51.8% of the liquid tape rose. The liquidity filter drops 5055 of 11525 dual-session tickers — names with less than $1 million traded on the day — counted here, never hidden.

The day's highlight: semiconductors into the quarter turn

Six names traded the same theme with very different outcomes — we report co-movement and magnitude; the data does not say why.

QueryThe semiconductor and storage names: change vs Monday's close, range, and dollar volume
The exact SQL behind every number
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 ('AMD', 'INTC', 'MU', 'SNDK', 'TSM', 'WDC')
      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

SanDisk jumped 10.79%, AMD 7.7%, Intel 5.93%, and TSMC 4.86% — while MU, the tape's biggest ticket at $37.41 billion of turnover, closed just 0.52% higher, and Western Digital, at -2.01%, was the storage name that did not participate. MU's June is dissected tick by tick here.

The counter-current ran through crypto-adjacent financials, against the green tape:

QueryCrypto-adjacent financials: change vs Monday's close, range, and dollar volume
The exact SQL behind every number
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

CRCL printed -17.53% — its $62.52 day low arrived at 15:59 ET, the session's final minute — with MSTR at -6.2%, COIN -3.61%, and HOOD -1.53% alongside. Co-movement observed; cause not asserted.

Where the money traded

QueryVolume leaders two ways: top 6 by dollars traded, top 4 by shares traded (one reused-symbol listing excluded pending entity verification)
The exact SQL behind every number
SELECT ticker, leaderboard, dollar_volume_bn, if(dollar_volume_bn < 1, dollar_volume_m, NULL) AS dollar_value_m, shares_m,
    round(100 * if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m)
        / max(if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m)) OVER (PARTITION BY leaderboard), 1) AS pct_of_board_leader
FROM (
    SELECT
        'by dollars traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e6, 0) AS dollar_volume_m,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY dollar_volume_bn DESC
    LIMIT 6
    UNION ALL
    SELECT
        'by shares traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e6, 0) AS dollar_volume_m,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY shares_m DESC
    LIMIT 4
)
ORDER BY leaderboard ASC, if(leaderboard = 'by dollars traded', dollar_volume_bn, shares_m) DESC

By dollars, MU towered over everything, index funds included: $37.41 billion against SPY's $31.84 billion — the second straight session the memory maker out-traded the flagship index fund (Monday's recap carries the first). Share-count boards mislead: the share leaders were SOXS, a 3x-leveraged inverse semiconductor ETF (515.5 million shares), and two sub-dollar names whose combined shares were worth a rounding error of MU's day. Basis: June 30 regular hours; one reused-symbol June listing is excluded pending entity verification — its receipts.

QueryShares traded per 30-minute bucket, regular hours (billions)
The exact SQL behind every number
SELECT
    formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
    round(sum(toFloat64(volume)) / 1e9, 2) AS shares_bn,
    round(100 * sum(toFloat64(volume)) / max(sum(toFloat64(volume))) OVER (), 1) AS pct_of_biggest_bucket
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
GROUP BY et_time
ORDER BY et_time

2.05 billion shares in the opening half hour, a 0.78 billion trough at 13:30, and the day's biggest bucket — 2.69 billion — in the closing half hour. How to read what sits underneath minute bars: the June 29 microstructure deep dive.

The options tape

QueryOne row for the whole options day: volume, same-day expiry, the holiday-shifted week
The exact SQL behind every number
WITH
    (
        SELECT (any(underlying_symbol), any(toFloat64(strike_price)), any(option_type),
                any(toDateOrNull(concat('20', substring(ticker, length(ticker) - 14, 6)))),
                sum(size), count(), round(avg(toFloat64(price)), 3))
        FROM global_markets.options_trades
        WHERE sip_timestamp >= '2026-06-30 00:00:00' AND sip_timestamp < '2026-07-01 00:00:00'
        GROUP BY ticker
        ORDER BY sum(size) DESC
        LIMIT 1
    ) AS top_contract,
    (
        SELECT round(toFloat64(argMax(close, window_start)), 2)
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
    ) AS spy_regular_close
SELECT
    round(count() / 1e6, 2) AS option_prints_m,
    round(toFloat64(sum(size)) / 1e6, 2) AS contracts_m,
    round(100.0 * sumIf(size, option_type = 'C') / sum(size), 1) AS call_pct_of_volume,
    round(100.0 * sumIf(size, substring(ticker, length(ticker) - 14, 6) = '260630') / sum(size), 1) AS same_day_expiry_pct,
    round(toFloat64(sumIf(size, substring(ticker, length(ticker) - 14, 6) = '260702')) / 1e6, 2) AS thu_jul2_expiry_contracts_m,
    countIf(substring(ticker, length(ticker) - 14, 6) = '260703') AS fri_jul3_expiry_prints,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY')) / 1e6, 2) AS spy_contracts_m,
    round(toFloat64(sumIf(size, underlying_symbol = 'QQQ')) / 1e6, 2) AS qqq_contracts_m,
    top_contract.1 AS top_contract_underlying,
    top_contract.2 AS top_contract_strike,
    top_contract.3 AS top_contract_type,
    top_contract.4 AS top_contract_expiry,
    top_contract.5 AS top_contract_volume,
    round(top_contract.7, 3) AS top_contract_avg_price,
    round(top_contract.2 - spy_regular_close, 2) AS top_strike_minus_spy_close
FROM global_markets.options_trades
WHERE sip_timestamp >= '2026-06-30 00:00:00' AND sip_timestamp < '2026-07-01 00:00:00'

Options traded 61.95 million contracts across 10.06 million prints. Calls took 57.3% of contract volume, and 28% of everything that traded expired that same Tuesday. The busiest single contract anywhere was the same-day SPY $747 call — 821361 contracts at a per-print average premium of $0.641, with SPY's last-minute-bar close landing 0.68 dollars below the strike: on our measure, the day's most-traded option finished out of the money. No contract with a Friday, July 3 expiration code printed all day (0 prints) — the market is closed that Friday — while the Thursday weekly carried 10.52 million contracts.

Rates: the long end rose into the half's close

Yields are daily closes; changes are against Monday, June 29.

QueryThe Treasury curve, June 30 close vs June 29 (populated maturities only)
The exact SQL behind every number
SELECT
    t.1 AS curve_point,
    round(t.2, 2) AS jun30_yield_pct,
    round((t.2 - t.3) * 100) AS one_day_change_bp
FROM (
    SELECT arrayJoin([
        ('1 month',  toFloat64(d.yield_1_month),  toFloat64(p.yield_1_month)),
        ('3 month',  toFloat64(d.yield_3_month),  toFloat64(p.yield_3_month)),
        ('1 year',   toFloat64(d.yield_1_year),   toFloat64(p.yield_1_year)),
        ('2 year',   toFloat64(d.yield_2_year),   toFloat64(p.yield_2_year)),
        ('5 year',   toFloat64(d.yield_5_year),   toFloat64(p.yield_5_year)),
        ('10 year',  toFloat64(d.yield_10_year),  toFloat64(p.yield_10_year)),
        ('30 year',  toFloat64(d.yield_30_year),  toFloat64(p.yield_30_year)),
        ('2s10s spread', toFloat64(d.yield_10_year - d.yield_2_year), toFloat64(p.yield_10_year - p.yield_2_year))
    ]) AS t
    FROM (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-30') AS d,
         (SELECT * FROM global_markets.treasury_yields WHERE date = '2026-06-29') AS p
)

The long end backed up on the half's final day: the 10-year rose 6 bp to 4.44%, the 2-year 4 bp to 4.14%, and the 2s10s spread steepened 2 bp to 0.3 percentage points. Where the half took the whole curve is in the H1 recap.

The calendar behind the day

QueryJune 30's corporate calendar and information flow, in one row (the filing-index gap on display)
The exact SQL behind every number
WITH
    (
        SELECT (count(), uniqExact(publisher))
        FROM global_markets.stocks_news
        WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-06-30'
    ) AS news,
    (
        SELECT (argMax(t, n), max(n))
        FROM (
            SELECT t, count() AS n
            FROM (
                SELECT arrayJoin(tickers) AS t
                FROM global_markets.stocks_news
                WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-06-30'
            )
            WHERE t != 'SPCX'
            GROUP BY t
        )
    ) AS top_news
SELECT
    (SELECT count() FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-06-30') AS ex_dividend_records,
    (SELECT count() FROM global_markets.stocks_splits WHERE execution_date = '2026-06-30') AS splits_executed,
    (SELECT count() FROM global_markets.stocks_ipos WHERE listing_date = '2026-06-30') AS ipos_listed,
    (SELECT uniqExact(accession_number) FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-06-30') AS sec_filings,
    (SELECT uniqExactIf(accession_number, form_type = '4') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-06-30') AS insider_form4_filings,
    (SELECT uniqExactIf(accession_number, form_type = '8-K') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-06-30') AS filings_8k,
    (SELECT arrayStringConcat(groupArray(concat(ticker, ' — ', issuer_name)), '; ') FROM (
        SELECT ticker, issuer_name FROM global_markets.stocks_ipos WHERE listing_date = '2026-06-30' ORDER BY ticker
    )) AS ipo_names,
    news.1 AS news_articles,
    news.2 AS news_publishers,
    top_news.1 AS most_covered_ticker,
    top_news.2 AS most_covered_articles,
    (SELECT uniqExact(accession_number) FROM global_markets.stocks_sec_edgar_index WHERE filing_date = toDate('2026-06-29')) AS filings_prior_session

704 dividend records went ex-dividend on the quarter's last day, 7 splits executed, and 2 new listings (AACU — Ares Acquisition Corp III; OSPRU — Osprey Acquisition Corp. III). The filing column is the day's data-quality headline: the SEC index holds 31 filings for June 30 — 0 insider Form 4s, 0 8-Ks — against 4439 on the session before. That near-empty day is part of a 2026 month-end pattern in the filing feed, diagnosed receipt by receipt in the month-end gap note; any filing count that includes this day is understated until the feed backfills. Our news feed carried 211 articles from 3 publishers; the most-covered name was NVDA at 21 articles.

The session, verified

QuerySession check: SPY's observed minute-bar span
The exact SQL behind every number
SELECT
    formatDateTime(min(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS first_spy_bar_et,
    formatDateTime(max(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS last_spy_bar_et,
    count() AS spy_minute_bars,
    countIf(window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00') AS regular_session_bars,
    uniqExactIf(toDate(toTimeZone(window_start, 'America/New_York')), window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00') AS day_sessions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY' AND window_start >= '2026-06-30 00:00:00' AND window_start < '2026-07-01 00:00:00'

SPY's bars run 04:00 to 19:59 New York time with exactly 390 regular-window bars — a complete regular session, verified from the tape (the exchange-calendar dataset only carries upcoming closures, so past-day session checks are tape-based).

Data notes

  • Dollar volume is a per-minute proxy. Every dollar-volume figure here is close × volume summed per minute bar — close to, but not exactly, the sum of individual print values.
  • The June 30 filing index is near-empty — disclosed inline with the counts, diagnosed in the month-end gap note.
  • One reused-symbol June listing is excluded from the volume leaderboards pending entity verification; its own post carries the receipts.
  • The index ETFs' highs and lows were cross-checked against adjacent bars at authoring time — an editorial procedure, receipted only when it surfaces an anomaly; none did on this session.

Methodology

  • The period is a single trading session ({v:session_count} session, verified from observed bars). Timestamps are stored in UTC and converted to New York time inside the queries. "Close" means the last regular-session minute bar, not the official auction print; day changes compare June 30 with June 29. The session was verified from the observed bar span — never assumed.
  • Decimal columns are cast to 64-bit floats before ratio arithmetic; option expiries are re-parsed from the OCC ticker (the table's own expiry column is broken). All panels are read once, at authoring time, through the gated read-only path — readers never trigger live queries. Warehouse state as of July 5, 2026.

Every panel is a stored query result — chart, table, and SQL are one object. Paste any of them into the Strasmore terminal and make them your own. Next session: July 1. The quarter this day closed: Q2 2026.

#recap#daily#spy#qqq#market structure