মার্কেট Recap: 30 June 2026 এর সংখ্যা

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

WITH q2 AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           argMin(toFloat64(open), window_start) AS d_open,
           argMax(toFloat64(close), window_start) AS d_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
      AND window_start >= toDateTime('2026-04-01 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 ticker, d
)
SELECT
    ticker,
    toString(min(d)) AS quarter_first_session,
    count() AS quarter_sessions,
    round(argMin(d_open, d), 2) AS quarter_open,
    round(argMax(d_close, d), 2) AS quarter_close,
    round((argMax(d_close, d) / argMin(d_open, d) - 1) * 100, 2) AS quarter_pct,
    countIf(d_close > d_open) AS up_sessions
FROM q2
GROUP BY ticker
ORDER BY quarter_pct DESC, ticker ASC

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
)

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,
    countIf(ticker IN ('XLB', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')) AS sector_funds_counted,
    countIf(ticker IN ('XLB', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
        AND day_close > prior_close) AS sector_funds_up
FROM per_ticker
WHERE prior_close > 0 AND day_close > 0

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,
        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 ('XLB', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
      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,
    if(day_close > prior_close, 1, 0) AS is_up,
    round(max((day_close / prior_close - 1) * 100) OVER () - (day_close / prior_close - 1) * 100, 2) AS pts_behind_leader,
    day_dollar_bn
FROM per_name
ORDER BY pct_chg DESC, ticker ASC

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
    HAVING prior_close > 1 AND day_close > 0 AND day_dollar_volume >= 10000000 AND ticker NOT IN ('SPCX')
)
SELECT
    board,
    ticker,
    prior_close,
    day_close,
    pct_chg,
    round(abs(pct_chg), 2) AS abs_pct_chg,
    dollar_volume_m,
    if(ticker IN (SELECT ticker FROM global_markets.stocks_splits
                  WHERE execution_date >= '2026-06-29' AND execution_date <= '2026-06-30'), 1, 0) AS split_record_on_file
FROM (
    SELECT 'top gainers' AS board, 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_dollar_volume / 1e6, 0) AS dollar_volume_m
    FROM per_ticker
    ORDER BY (day_close / prior_close) DESC, ticker ASC
    LIMIT 5
    UNION ALL
    SELECT 'top decliners' AS board, 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_dollar_volume / 1e6, 0) AS dollar_volume_m
    FROM per_ticker
    ORDER BY (day_close / prior_close) ASC, ticker ASC
    LIMIT 5
)
ORDER BY if(board = 'top gainers', 0, 1) ASC, pct_chg DESC, ticker ASC

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

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

SELECT
    names.n AS ticker,
    countIf(has(tickers, names.n)) AS articles_today,
    if(countIf(has(tickers, names.n)) = 0, 'none',
       formatDateTime(toTimeZone(argMaxIf(published_utc, (published_utc, id), has(tickers, names.n)), 'America/New_York'), '%H:%i')) AS latest_et,
    if(countIf(has(tickers, names.n)) = 0, 'no article in our feed this session',
       JSONExtractString(argMaxIf(publisher, (published_utc, id), has(tickers, names.n)), 'name')) AS publisher_name,
    if(countIf(has(tickers, names.n)) = 0, 'no article in our feed this session',
       argMaxIf(title, (published_utc, id), has(tickers, names.n))) AS latest_headline
FROM global_markets.stocks_news
CROSS JOIN (SELECT arrayJoin(['NVDA', 'MU', 'SNDK', 'CRCL', 'SOC', 'ABVX', 'JEM']) AS n) AS names
WHERE published_utc >= '2026-06-30 04:00:00' AND published_utc < '2026-07-01 04:00:00'
GROUP BY names.n
ORDER BY articles_today DESC, ticker ASC

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

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

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_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,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P'))
        / toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'C')), 2) AS spy_put_call_ratio,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'C'
        AND substring(ticker, length(ticker) - 14, 6) = '260630' AND toFloat64(strike_price) > spy_close)) / 1e6, 2) AS spy_0dte_otm_calls_m,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'C'
        AND substring(ticker, length(ticker) - 14, 6) = '260630' AND toFloat64(strike_price) <= spy_close)) / 1e6, 2) AS spy_0dte_itm_calls_m,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P'
        AND substring(ticker, length(ticker) - 14, 6) = '260630' AND toFloat64(strike_price) < spy_close)) / 1e6, 2) AS spy_0dte_otm_puts_m,
    round(toFloat64(sumIf(size, underlying_symbol = 'SPY' AND option_type = 'P'
        AND substring(ticker, length(ticker) - 14, 6) = '260630' AND toFloat64(strike_price) >= spy_close)) / 1e6, 2) AS spy_0dte_itm_puts_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_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'

SELECT
    concat(underlying, ' $', toString(strike), ' ', if(typ = 'C', 'call', 'put')) AS contract,
    toString(expiry) AS expires,
    formatDateTimeInJodaSyntax(expiry, 'MMMM d, yyyy') AS expires_label,
    if(expiry = toDate('2026-06-30'), 1, 0) AS is_same_day,
    contracts,
    round(avg_px, 3) AS avg_premium,
    round(100 * contracts / max(contracts) OVER (), 1) AS pct_of_busiest
FROM (
    SELECT any(underlying_symbol) AS underlying,
           any(toFloat64(strike_price)) AS strike,
           any(option_type) AS typ,
           any(toDateOrNull(concat('20', substring(ticker, length(ticker) - 14, 6)))) AS expiry,
           sum(size) AS contracts,
           avg(toFloat64(price)) AS avg_px,
           any(ticker) AS occ
    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 contracts DESC, occ ASC
    LIMIT 6
)
ORDER BY contracts DESC, contract ASC

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
)

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

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'