Strasmore Research
Deep Dives · Matt ConnorBy Matt Connor · · Updated 2026-08-08

MU: Micron 2026年6月成交額與市場排名

Micron 2026年6月正常交易時段成交額達 995.7 十億美元,為市場排名第first的股票,當月重新定價降溫至 14%。

Micron 在2026年上半年經歷劇烈重估。6月股價降溫,但交易走勢並未平靜。MU 6月收在 $1151.01,上漲 14%,是自2月以來最平靜的一個月;此前5月上漲 89.8%。其正常交易時段成交額達 $995.7 billion,在整個美國市場排名 first,甚至高於 SPY。本月按日計算的波動率也為上半年最高,年化達 127.6%。所謂平靜,只是期末數據造成的錯覺。

以下整理6月的成交、交易走勢、財報週申報資料、波動率、同業、spread、選擇權、放空部位,以及過去6個月的走勢。所有數字均來自儲存的查詢;展開任何面板即可查看其 SQL。

單月走勢

查詢MU 6月單列:開盤、收盤、極值、成交額及其依據
月初開盤價月底收盤價月報酬率 (%)月內最高值月內最高值首次出現時段(美東時間)月內最低值月內最低值首次出現時段(美東時間)正常交易時段減延長交易時段最低值月成交股數(十億股)正常交易時段成交金額(十億美元)觀察到的交易日數SPY 6月19日K線
1009.721151.011412552026-06-25 09:35850.12026-06-05 16:344.251.08995.7210
每個數據背後的精確 SQL 語法
WITH
    (
        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 max(toFloat64(high)) FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'MU'
          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 = 'MU'
          AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
    ) AS lo
SELECT
    round(argMinIf(toFloat64(open), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS month_open,
    round(argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS month_close,
    round((argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / argMinIf(toFloat64(open), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100, 1) AS month_return_pct,
    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,
    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_first_bar_et,
    round(minIf(toFloat64(low), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - lo, 2) AS rth_minus_extended_low,
    round(toFloat64(sum(volume)) / 1e9, 2) AS month_shares_bn,
    round(sumIf(toFloat64(close) * toFloat64(volume), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / 1e9, 1) AS rth_dollar_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 = 'MU'
  AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
自己執行這個查詢

對於如此大型的個股而言,月內波動區間極為驚人:盤中低點為 $850.1(2026-06-05 16:34 ET),高點為 $1255(2026-06-25 09:35 ET),波動幅度甚至超過多數股票全年的區間。6月19日全市場休市(0 SPY bars),因此當月共交易 21 個交易日。

6月相對於半年走勢

+14% 算大嗎?對這個 ticker 而言,在這半年期間,6月是最平靜的一個月。該面板每月以相同方式重新計算,並即時更新。

查詢MU逐月即時重算:報酬率、收盤價及正常交易時段成交額
期間開始日月報酬率 (%)月底收盤價正常交易時段成交金額(十億美元)
2026-01-0140.5414.73235.8
2026-02-010412.25236
2026-03-01-15.9337.62342.7
2026-04-0148.4517.63335
2026-05-0189.8971.58716.8
2026-06-01141151.01995.7
每個數據背後的精確 SQL 語法
SELECT toString(toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York')))) AS period_start,
    round((argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / argMinIf(toFloat64(open), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) - 1) * 100, 1) AS month_return_pct,
    round(argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS month_close,
    round(sumIf(toFloat64(close) * toFloat64(volume), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / 1e9, 1) AS rth_dollar_bn
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'MU'
  AND window_start >= toDateTime('2026-01-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
GROUP BY period_start
ORDER BY period_start
自己執行這個查詢

走勢如下:1月為 40.5%,2月持平於 0%,3月收在半年低點 -15.9%($337.62),4月為 48.4%,5月為 89.8%;六個月內,價格由 $414.73 升至 $1151.01。成交額也同步攀升:1月為 $235.8 billion,6月為 $995.7 billion。6月的價格變動是自2月以來最小的;但6月的成交最為活躍。

價格降溫,但波動沒有。

上漲 14% 的月份算平靜嗎?若觀察實現波動率,也就是將每日收盤價變動年化後的數值,6月呈現的情況截然不同。

查詢MU逐月:年化實現波動率、平均盤中區間及單日最大變動
期間開始日年化實現波動率 (%)占峰值波動率 (%)平均日價格區間 (%)最大單日變動 (%)報酬日數
2026-01-0164.850.85.41019
2026-02-0167.853.16.31019
2026-03-0178.261.369.922
2026-04-0159.246.45.59.121
2026-05-01101.479.47.219.320
2026-06-01127.61007.615.821
每個數據背後的精確 SQL 語法
SELECT
    toString(toStartOfMonth(et_date)) AS period_start,
    round(stddevSamp(log_ret) * sqrt(252) * 100, 1) AS realized_vol_ann_pct,
    round(100 * stddevSamp(log_ret) / max(stddevSamp(log_ret)) OVER (), 1) AS pct_of_peak_vol,
    round(avg(day_range_pct), 1) AS avg_day_range_pct,
    round(max(abs(day_move_pct)), 1) AS biggest_day_move_pct,
    count() AS return_days
FROM (
    SELECT et_date, day_range_pct,
        if(prev_close > 0, ln(close_usd / prev_close), NULL) AS log_ret,
        if(prev_close > 0, (close_usd / prev_close - 1) * 100, NULL) AS day_move_pct
    FROM (
        SELECT et_date, close_usd, day_range_pct,
            lagInFrame(close_usd) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
        FROM (
            SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
                argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS close_usd,
                (maxIf(toFloat64(high), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) - 1) * 100 AS day_range_pct
            FROM global_markets.delayed_stocks_minute_aggs
            WHERE ticker = 'MU'
              AND window_start >= toDateTime('2026-01-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
            GROUP BY et_date
        )
    )
)
WHERE isFinite(log_ret) AND log_ret IS NOT NULL
GROUP BY period_start
ORDER BY period_start
自己執行這個查詢

以這項指標衡量,6月是上半年波動最劇烈的月份:年化波動率達 127.6%,高於5月的 101.4%;平均每個交易日的價格區間為 7.6%,且有一次收盤價較前一日收盤價變動 15.8%。月初與月底相對平靜,但期間的交易日並不平靜。

逐個交易日

查詢21個交易日:收盤價、收盤對收盤變動、全天成交量
21 rows (showing 20)
美東日期收盤價(美元)變動 (%)成交股數(百萬股)
2026-06-011034.83None43.7
2026-06-021064.082.843
2026-06-031079.561.537.5
2026-06-04997.17-7.651.6
2026-06-05864.01-13.471.3
2026-06-08949.479.950.5
2026-06-09935.89-1.470.2
2026-06-10891.5-4.752.8
2026-06-11995.6511.753.7
2026-06-12980.71-1.538.9
2026-06-151087.810.939.8
2026-06-161020.83-6.241.6
2026-06-171041.41243.4
2026-06-181132.018.748.2
2026-06-221211.2746.3
2026-06-231051.42-13.254
2026-06-241048.5-0.364.6
2026-06-251214.5915.877.2
2026-06-261122.92-7.558.8
2026-06-291145257.8
每個數據背後的精確 SQL 語法
SELECT et_date, close_usd,
    round(if(prev_close = 0, NULL, (close_usd / prev_close - 1) * 100), 1) AS change_pct,
    shares_m
FROM (
    SELECT et_date, close_usd, shares_m,
           lagInFrame(close_usd) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
    FROM (
        SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
            round(argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS close_usd,
            round(toFloat64(sum(volume)) / 1e6, 1) AS shares_m
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'MU'
          AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
        GROUP BY et_date
    )
)
ORDER BY et_date
自己執行這個查詢

股價在兩個方向間劇烈擺動,從2026-06-01的$1034.83一路經歷震盪,直到最後一個交易日的$1151.01。這正是「本月上漲14%」所掩蓋的情況:只有起點與終點相對平靜。波動最劇烈的交易日集中在財報公布週,接下來將逐一列出。

波動是否與公布財報的季度相符?

這些波動可以按日期核對:MU 6月的 SEC 文件紀錄來自 SEC 自身的索引,再與相關日期的股價走勢比對。

查詢MU 6月SEC申報文件及季度8-K後的交易日
盈餘8-K已申報6月24日8-K10-Q已申報8-K至10-Q天數6月申報文件總數8-K申報件數Form 4申報件數下一交易日變動幅度 (%)下一交易日成交股數(百萬)較次高成交量多出的股數(百萬)6月25日月內高點
2026-06-2412026-06-25182315.877.25.91
每個數據背後的精確 SQL 語法
WITH
    (
        SELECT maxIf(filing_date, form_type = '8-K')
        FROM global_markets.stocks_sec_edgar_index
        WHERE cik = '0000723125' AND filing_date >= toDate('2026-06-01') AND filing_date <= toDate('2026-06-30')
    ) AS last_8k_date,
    (
        SELECT minIf(filing_date, form_type = '10-Q')
        FROM global_markets.stocks_sec_edgar_index
        WHERE cik = '0000723125' AND filing_date >= toDate('2026-06-01') AND filing_date <= toDate('2026-06-30')
    ) AS tenq_date,
    (
        SELECT (count(), countIf(form_type = '8-K'), countIf(form_type = '4'))
        FROM global_markets.stocks_sec_edgar_index
        WHERE cik = '0000723125' AND filing_date >= toDate('2026-06-01') AND filing_date <= toDate('2026-06-30')
    ) AS filing_census,
    (
        SELECT toDate(toTimeZone(min(window_start), 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'MU'
          AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
          AND toFloat64(high) >= (
              SELECT max(toFloat64(high)) FROM global_markets.delayed_stocks_minute_aggs
              WHERE ticker = 'MU' AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
          ) - 0.011
    ) AS month_high_date
SELECT
    toString(last_8k_date) AS earnings_8k_filed,
    if(last_8k_date = toDate('2026-06-24'), 1, 0) AS eightk_on_jun24,
    toString(tenq_date) AS tenq_filed,
    dateDiff('day', last_8k_date, tenq_date) AS days_8k_to_10q,
    filing_census.1 AS june_filings_total,
    filing_census.2 AS eightk_filings,
    filing_census.3 AS form4_filings,
    round((anyIf(close_usd, et_date = toDate('2026-06-25')) / anyIf(close_usd, et_date = toDate('2026-06-24')) - 1) * 100, 1) AS next_session_move_pct,
    round(anyIf(shares_m, et_date = toDate('2026-06-25')), 1) AS next_session_shares_m,
    round(anyIf(shares_m, et_date = toDate('2026-06-25')) - maxIf(shares_m, et_date != toDate('2026-06-25')), 1) AS shares_lead_over_next_busiest_m,
    if(month_high_date = toDate('2026-06-25'), 1, 0) AS month_high_on_jun25
FROM (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
        argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) AS close_usd,
        toFloat64(sum(volume)) / 1e6 AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU'
      AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
    GROUP BY et_date
)
自己執行這個查詢

MU 的季度 8-K 日期為 2026-06-24,10-Q 則晚一天,日期為 1(8 是6月申報文件,3 是內部人士 Form 4 申報)。8-K 日期後的下一個交易日收高 15.8%,成交量為 77.2 百萬股,為當月最高,較次高的交易日多 5.9 百萬股;當月最高價 $1255 也在同一交易日出現(2026-06-25 09:35 ET;agreement 欄位確認兩者相符)。這裡僅陳述日期與走勢的一致性,不作進一步推論。

Micron 個股行情,還是記憶體族群行情?

其他記憶體與儲存裝置相關股票是否也同步上漲?這個籃子固定且已明確定義:六月新聞中與 MU 最常共同標註的三檔儲存裝置股票,再加上 NVDA 與 SPY 作為基準。

查詢6月並列比較:記憶體/儲存設備籃子、NVDA及SPY
ticker6月報酬率 (%)相對MU百分點正常交易時段成交金額(十億美元)占最高成交額 (%)
SNDK31.317.3381.638.3
INTC27.513.5272.427.4
WDC19.15.1105.110.6
MU140995.7100
SPY-1.2-15.2771.577.5
NVDA-7.4-21.452352.5
每個數據背後的精確 SQL 語法
WITH (
    SELECT (argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / argMinIf(toFloat64(open), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU' AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS mu_return
SELECT ticker,
    round(june_return_pct, 1) AS june_return_pct,
    round(june_return_pct - mu_return, 1) AS vs_mu_pct_points,
    rth_dollar_bn,
    round(100 * rth_dollar_bn / max(rth_dollar_bn) OVER (), 1) AS pct_of_top_turnover
FROM (
    SELECT ticker,
        (argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / argMinIf(toFloat64(open), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100 AS june_return_pct,
        round(sumIf(toFloat64(close) * toFloat64(volume), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / 1e9, 1) AS rth_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('MU', 'SNDK', 'WDC', 'INTC', 'NVDA', 'SPY')
      AND window_start >= toDateTime('2026-06-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
    GROUP BY ticker
)
ORDER BY june_return_pct DESC
自己執行這個查詢

這是記憶體族群的行情,但 MU 落後。SNDK 上漲 31.3%,INTC 27.5%,WDC 19.1%;每檔儲存裝置股票都領先 MU 5.1 至 17.3 個百分點,而 SPY 與 NVDA 收低,六月下跌。MU 的特點是:其成交額高於此處每一列的其他標的。

盤面上成交額最大的 ticker

查詢全美股市依2026年6月正常交易時段成交額排名(排除一筆待確認實體的重複代號掛牌)
ticker正常交易時段成交額(十億美元)占領先者 (%)
MU995.7100
SPY771.577.5
QQQ672.867.6
NVDA52352.5
SNDK381.638.3
TSLA342.734.4
MRVL302.730.4
INTC272.427.4
AAPL27027.1
MSFT268.627
每個數據背後的精確 SQL 語法
SELECT ticker,
    round(sum(toFloat64(volume) * toFloat64(close)) / 1e9, 1) AS regular_hours_dollar_bn,
    round(100 * sum(toFloat64(volume) * toFloat64(close)) / max(sum(toFloat64(volume) * toFloat64(close))) OVER (), 1) AS pct_of_leader
FROM global_markets.delayed_stocks_minute_aggs
WHERE 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
  AND ticker NOT IN ('SPCX')
GROUP BY ticker
ORDER BY regular_hours_dollar_bn DESC
LIMIT 10
自己執行這個查詢
查詢排名依據:MU名次、領先下一名的幅度及計算基礎
MU排名MU成交額(十億美元)較次高者領先(十億美元)
1995.7224.3
每個數據背後的精確 SQL 語法
WITH (
    SELECT sum(toFloat64(volume) * toFloat64(close))
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU'
      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
) AS mu_d
SELECT
    countIf(d > mu_d AND ticker != 'MU') + 1 AS mu_rank,
    round(mu_d / 1e9, 1) AS mu_dollar_bn,
    round((mu_d - maxIf(d, d < mu_d AND ticker != 'MU')) / 1e9, 1) AS lead_over_next_bn
FROM (
    SELECT ticker, sum(toFloat64(volume) * toFloat64(close)) AS d
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE 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
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
自己執行這個查詢

以6月正常交易時段的成交金額計算,MU在所有於美國上市的股票代號中排名第first,成交金額為 $995.7 billion,領先排名第二的SPY達$224.3 billion。單一公司在一個月內的成交額超越旗艦指數基金,這種盤面結構相當罕見;其背景可參考上文的財報週與同業段落。統計基準為6月1日至30日的正常交易時段,另排除一個重複使用的上市代號,待完成實體核實(其收據)。全市場視角請參閱6月回顧。

交易紀錄的構成

查詢MU全月行情單列:成交筆數、每筆成交量及報價統計
成交筆數(百萬)成交筆數中位數(股)平均每筆成交股數零股成交占比 (%)零碎股成交占比 (%)NBBO更新次數(百萬)完整雙邊報價占比 (%)交叉報價更新次數單邊或空白報價更新次數
35.17838.391.79.0419.6499.861696378
每個數據背後的精確 SQL 語法
WITH
    (
        SELECT (round(count() / 1e6, 2),
                round(100.0 * countIf(bid_price > 0 AND ask_price > 0 AND ask_price > bid_price) / count(), 2),
                countIf(bid_price > 0 AND ask_price > 0 AND ask_price < bid_price),
                countIf(bid_price <= 0 OR ask_price <= 0))
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'MU'
          AND sip_timestamp >= toDateTime64('2026-06-01 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
    ) AS quote_census
SELECT
    round(count() / 1e6, 2) AS prints_m,
    quantileDeterministic(0.5)(toFloat64(size), toUInt64(abs(sequence_number))) AS median_print_shares,
    round(avg(toFloat64(size)), 1) AS avg_print_shares,
    round(100.0 * countIf(size < 100) / count(), 1) AS odd_lot_pct_of_prints,
    round(100.0 * countIf(toFloat64(size) != round(toFloat64(size))) / count(), 2) AS fractional_pct_of_prints,
    quote_census.1 AS nbbo_updates_m,
    quote_census.2 AS clean_two_sided_pct,
    quote_census.3 AS crossed_updates,
    quote_census.4 AS one_sided_or_empty_updates
FROM global_markets.stocks_trades
WHERE ticker = 'MU'
  AND sip_timestamp >= toDateTime64('2026-06-01 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
自己執行這個查詢

35.17 百萬筆成交,每筆成交量中位數為 8 股,另有 91.7% 筆零股成交;這是我們測量過最偏向散戶拆單的交易紀錄之一(NVDA 6月的數據明顯較低;深度解析中附有雙面板)。股價達到四位數時,「整股」交易涉及的金額很高,因此小額成交自然占主導;零碎股成交(9.04%)也呈現相同方向。報價部分則包括 19.64 百萬次 NBBO 更新,其中 99.86% 次為有效的雙邊報價、16963 次為交叉報價,78 次為單邊報價或無報價;這些資料均已揭露,並未遭到丟棄。

重新定價期間的買賣價差

一檔股票若在單季內接近翻三倍,買賣價差的問題就需要從不同角度觀察:在股價找到新的定價水準期間,報價是否仍維持緊密?

查詢逐交易日價差:正常交易時段中位數(美分及基點)
21 rows (showing 20)
交易時段中位價差(美分)中位價差(基點)報價更新次數捨棄的無效資料
2026-06-01413.96497073428
2026-06-02403.84482044467
2026-06-03464.31389386341
2026-06-04414.1546741456
2026-06-05414.459462201190
2026-06-08394.08713643406
2026-06-09525.681165907595
2026-06-10475.13905403668
2026-06-11495.3112089022487
2026-06-12525.27532349273
2026-06-15413.81740689450
2026-06-16535.04924925227
2026-06-17524.971195996252
2026-06-18413.651327917617
2026-06-22443.715801441139
2026-06-23454.2940595554
2026-06-245251051175537
2026-06-2557.54.788155321003
2026-06-265851030596412
2026-06-29504.62748086414
每個數據背後的精確 SQL 語法
SELECT session,
    round(quantileDeterministicIf(0.5)(toFloat64(ask_price) - toFloat64(bid_price), toUInt64(toUnixTimestamp64Micro(sip_timestamp)), bid_price > 0 AND ask_price >= bid_price) * 100, 1) AS med_spread_cents,
    round(quantileDeterministicIf(0.5)((toFloat64(ask_price) - toFloat64(bid_price)) / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000, toUInt64(toUnixTimestamp64Micro(sip_timestamp)), bid_price > 0 AND ask_price >= bid_price), 2) AS med_spread_bps,
    count() AS quote_updates,
    countIf(NOT (bid_price > 0 AND ask_price > 0 AND ask_price >= bid_price)) AS invalid_dropped
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'MU'
  AND sip_timestamp >= toDateTime64('2026-06-01 13:30:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
  AND (toHour(sip_timestamp) * 60 + toMinute(sip_timestamp)) BETWEEN 810 AND 1199
GROUP BY toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session
ORDER BY session
自己執行這個查詢

以基點計算,整段行情期間的買賣價差都維持機構級水準:3.96 個基點位於 2026-06-01,最後一個交易日為 4.19 個基點;以美分計的價差則大致隨股價水準同步變化。若要了解其中的運作機制,請參閱買賣價差說明。

選擇權:雙向交易

查詢MU選擇權市場單列:總量、到期日及買權/賣權拆分
成交筆數(百萬)不重複合約數成交合約數(百萬)權利金名目金額(十億美元)月度Put/Call比率成交到期日數最活躍履約價(美元)
4.691178916.7677.130.99231200
每個數據背後的精確 SQL 語法
SELECT
    round(count() / 1e6, 2) AS prints_m,
    uniqExact(ticker) AS distinct_contracts,
    round(sum(size) / 1e6, 2) AS contracts_traded_m,
    round(sum(toFloat64(price) * size) * 100 / 1e9, 2) AS premium_notional_busd,
    round(toFloat64(sumIf(size, substring(ticker, 11, 1) = 'P')) / toFloat64(sumIf(size, substring(ticker, 11, 1) = 'C')), 2) AS month_put_call_ratio,
    uniqExact(substring(ticker, 5, 6)) AS expiries_traded,
    round(intDiv(toUInt32OrZero(substring(argMax(ticker, sz), 12, 8)), 1000), 0) AS busiest_strike_usd
FROM (
    SELECT ticker, price, size, sum(size) OVER (PARTITION BY ticker) AS sz
    FROM global_markets.options_trades
    WHERE startsWith(ticker, 'O:MU') AND length(ticker) = 19
      AND sip_timestamp >= toDateTime64('2026-06-01 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
)
自己執行這個查詢

16.76 百萬張合約分布於 11789 個不同合約,權利金總額為 $77.13 億,而且買賣雙方都相當活躍:當月 put/call ratio 為 0.99,基本上處於均衡狀態(NVDA 6月的交易則偏向買權;比較)。在劇烈重新定價期間,接近平衡的 put/call ratio 代表選擇權市場對行情走勢的看法分歧,數據呈現的是這種分歧,而非交易者的意圖。

查詢合約落點:各履約價區間的買權及賣權成交量
履約價區間買權合約賣權合約Put占比 (%)
$0866432910497.4
$100662833021898
$200537211175195.4
$300885520491395.9
$4002505035861793.5
$5002365466979896.6
$6003005994070696.9
$7006779487024292.8
$800209357125782985.7
$9001137271146023656.2
$10001923982107658935.9
$1100167873559600426.2
$120012890971092087.8
$1300601699172282.8
$140033043187072.6
$15001056463189161.8
每個數據背後的精確 SQL 語法
SELECT
    concat('$', toString(toUInt32(bucket))) AS strike_bucket,
    call_contracts,
    put_contracts,
    round(100.0 * put_contracts / (call_contracts + put_contracts), 1) AS put_share_pct
FROM (
    SELECT
        least(floor(toFloat64(toUInt32OrZero(substring(ticker, 12, 8))) / 1000 / 100) * 100, 1500) AS bucket,
        toUInt64(sumIf(size, substring(ticker, 11, 1) = 'C')) AS call_contracts,
        toUInt64(sumIf(size, substring(ticker, 11, 1) = 'P')) AS put_contracts
    FROM global_markets.options_trades
    WHERE startsWith(ticker, 'O:MU') AND length(ticker) = 19
      AND sip_timestamp >= toDateTime64('2026-06-01 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
    GROUP BY bucket
)
ORDER BY toUInt32OrZero(substring(strike_bucket, 2))
自己執行這個查詢

履約價分布涵蓋的範圍,在1月時看來會相當荒謬;從 $0 區間到 $1500+ 的上限都有實際成交量,反映標的資產價格大幅移動的程度。若要押注這段行情,成本是多少?當月最後一個交易日給出了答案:

查詢月末波動價格:6月最後一個價平跨式組合
最近到期日距到期日曆日數現貨收盤價價平履約價跨式組合(美元)跨式組合占現貨百分比雙邊履約價
2026-07-0221151.01115069.956.08135
每個數據背後的精確 SQL 語法
WITH (
    SELECT argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU' AND window_start >= toDateTime('2026-06-30 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS spot
SELECT
    toString(any(expiry)) AS nearest_expiry,
    dateDiff('day', toDate('2026-06-30'), any(expiry)) AS calendar_days_to_expiry,
    round(spot, 2) AS spot_close,
    argMin(strike_usd, (dist, strike_usd)) AS atm_strike,
    round(argMin(call_last + put_last, (dist, strike_usd)), 2) AS straddle_usd,
    round(argMin(call_last + put_last, (dist, strike_usd)) / spot * 100, 2) AS straddle_pct_of_spot,
    count() AS two_sided_strikes
FROM (
    SELECT expiry, strike_usd, abs(strike_usd - spot) AS dist,
        anyIf(last_px, opt_type = 'C') AS call_last,
        anyIf(last_px, opt_type = 'P') AS put_last
    FROM (
        SELECT
            toDateOrNull(concat('20', substring(ticker, 5, 2), '-', substring(ticker, 7, 2), '-', substring(ticker, 9, 2))) AS expiry,
            substring(ticker, 11, 1) AS opt_type,
            toFloat64(toUInt32OrZero(substring(ticker, 12, 8))) / 1000 AS strike_usd,
            argMax(toFloat64(price), (sip_timestamp, toFloat64(price))) AS last_px
        FROM global_markets.options_trades
        WHERE startsWith(ticker, 'O:MU') AND length(ticker) = 19
          AND sip_timestamp >= toDateTime64('2026-06-30 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
        GROUP BY expiry, opt_type, strike_usd
    )
    WHERE expiry > toDate('2026-06-30')
    GROUP BY expiry, strike_usd
    HAVING countIf(opt_type = 'C') > 0 AND countIf(opt_type = 'P') > 0
)
WHERE expiry = (
    SELECT min(toDateOrNull(concat('20', substring(ticker, 5, 2), '-', substring(ticker, 7, 2), '-', substring(ticker, 9, 2))))
    FROM global_markets.options_trades
    WHERE startsWith(ticker, 'O:MU') AND length(ticker) = 19
      AND sip_timestamp >= toDateTime64('2026-06-30 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-01 00:00:00', 9)
      AND toDateOrNull(concat('20', substring(ticker, 5, 2), '-', substring(ticker, 7, 2), '-', substring(ticker, 9, 2))) > toDate('2026-06-30')
)
自己執行這個查詢

截至6月30日收市,最近到期的合約距離到期日還有 2 個日曆日;履約價為 $1150 的平值買權與賣權,最後合計成交價為 $69.95,相當於 $1151.01 股價的 6.08%。買方必須在這 2 日內,讓標的價格朝任一方向移動相同幅度,才能損益兩平;6月收市時,市場仍反映出大幅波動的定價。

新聞流

查詢6月標記MU的文章:數量、最大出版商占比及共同標籤
6月文章出版商主要出版商主要出版商占比NVDA相關公司文章SNDK相關公司文章INTC相關公司文章
1954The Motley Fool59863221
每個數據背後的精確 SQL 語法
WITH
    (
        SELECT (JSONExtractString(any(publisher), 'name'), count())
        FROM global_markets.stocks_news
        WHERE has(tickers, 'MU')
          AND published_utc >= toDateTime('2026-06-01 00:00:00') AND published_utc < toDateTime('2026-07-01 04:00:00')
        GROUP BY JSONExtractString(publisher, 'name') ORDER BY count() DESC LIMIT 1
    ) AS top_pub
SELECT
    count() AS june_articles,
    uniqExact(JSONExtractString(publisher, 'name')) AS publishers,
    top_pub.1 AS top_publisher,
    round(100.0 * top_pub.2 / count(), 0) AS top_publisher_pct,
    countIf(has(tickers, 'NVDA')) AS nvda_co_articles,
    countIf(has(tickers, 'SNDK')) AS sndk_co_articles,
    countIf(has(tickers, 'INTC')) AS intc_co_articles
FROM global_markets.stocks_news
WHERE has(tickers, 'MU')
  AND published_utc >= toDateTime('2026-06-01 00:00:00') AND published_utc < toDateTime('2026-07-01 04:00:00')
自己執行這個查詢

來自 4 家出版商、帶有 MU 標籤的文章共有 195 篇。閱讀時應保持審慎;其中 The Motley Fool 家出版商單獨撰寫了 59% 篇。共同標籤勾勒出半導體產業的脈絡:86 篇文章提到 NVDA,32 篇提到 SNDK,21 篇提到 INTC。文章談的是什麼?供應商自行設定的文章標籤提供了相關詞彙,但不代表我們採用這些標籤的解讀:

查詢6月MU報導主題:依出版商自有文章標籤計數
關鍵字文章文章占比
AI infrastructure4925.1
memory chips4322.1
semiconductor stocks3819.5
DRAM2412.3
semiconductor199.7
artificial intelligence189.2
data centers189.2
high-bandwidth memory147.2
Micron Technology136.7
AI chips126.2
每個數據背後的精確 SQL 語法
SELECT keyword, count() AS articles,
    round(100.0 * count() / (SELECT count() FROM global_markets.stocks_news WHERE has(tickers, 'MU') AND published_utc >= toDateTime('2026-06-01 00:00:00') AND published_utc < toDateTime('2026-07-01 04:00:00')), 1) AS pct_of_articles
FROM global_markets.stocks_news
ARRAY JOIN keywords AS keyword
WHERE has(tickers, 'MU')
  AND published_utc >= toDateTime('2026-06-01 00:00:00') AND published_utc < toDateTime('2026-07-01 04:00:00')
GROUP BY keyword
ORDER BY articles DESC, keyword ASC
LIMIT 10
自己執行這個查詢

「AI infrastructure」出現在 195 篇文章中的 49,排名最高;其後是「memory chips」與「DRAM」,以及「high-bandwidth memory」。這是一套 AI 記憶體詞彙,呈現的是標籤出現次數,而非對事件的解釋。

空頭部位縮減,但資料缺口仍在

查詢FINRA場外放空成交量:MU 6月涵蓋範圍及標記放空占比
日放空股數(百萬股)場外放空占比
2026-06-016.6331.2
2026-06-0210.0647.1
2026-06-038.2945.1
2026-06-0514.841.7
2026-06-087.632.3
2026-06-0914.3641.3
2026-06-119.3134.4
2026-06-128.9445.2
2026-06-156.8337.1
2026-06-176.6328.8
2026-06-187.0731.7
2026-06-22838.8
2026-06-2410.4541.9
2026-06-2517.5546.6
2026-06-2615.4454.7
2026-06-309.3250.9
每個數據背後的精確 SQL 語法
SELECT toString(date) AS d,
    round(toFloat64(any(short_volume)) / 1e6, 2) AS short_shares_m,
    round(100 * toFloat64(any(short_volume)) / toFloat64(any(total_volume)), 1) AS short_pct_of_offexchange
FROM global_markets.stocks_short_volume
WHERE ticker = 'MU' AND date >= toDate('2026-06-01') AND date <= toDate('2026-06-30')
GROUP BY date
ORDER BY date
自己執行這個查詢

先說明資料涵蓋情況:MU 6月的放空成交量檔案僅涵蓋 16 個交易日,占 21 個交易日;除了全市場在6月29日截短資料外,MU 另有數筆資料列缺失。因此,本月無法計算整月比率。逐日資料列均為實際數據,缺口也已揭露。

查詢6月結算雙點:月中及月底放空部位
6月中旬結算6月中旬放空股數(百萬股)月底結算月底放空股數(百萬股)減少股數(百萬股)月底回補天數
2026-06-1541.592026-06-3031.679.920.53
每個數據背後的精確 SQL 語法
SELECT
    toString(maxIf(settlement_date, settlement_date <= toDate('2026-06-20'))) AS mid_june_settlement,
    round(toFloat64(maxIf(short_interest, settlement_date <= toDate('2026-06-20'))) / 1e6, 2) AS mid_june_shares_short_m,
    toString(maxIf(settlement_date, settlement_date > toDate('2026-06-20'))) AS eom_settlement,
    round(toFloat64(maxIf(short_interest, settlement_date > toDate('2026-06-20'))) / 1e6, 2) AS eom_shares_short_m,
    round((toFloat64(maxIf(short_interest, settlement_date <= toDate('2026-06-20'))) - toFloat64(maxIf(short_interest, settlement_date > toDate('2026-06-20')))) / 1e6, 2) AS decline_m_shares,
    round(toFloat64(maxIf(short_interest, settlement_date > toDate('2026-06-20'))) / toFloat64(maxIf(avg_daily_volume, settlement_date > toDate('2026-06-20'))), 2) AS eom_days_to_cover
FROM global_markets.stocks_short_interest
WHERE ticker = 'MU' AND settlement_date >= toDate('2026-06-01') AND settlement_date <= toDate('2026-06-30')
自己執行這個查詢

結算資料完整:在 2026-06-15 結算日,放空股數為 41.59 百萬股;至 2026-06-30 降至 31.67 百萬股。後半月減少 9.92 百萬股,而財報公布週也落在這段期間。月底空頭部位相當於 0.53 天的平均成交量,對這檔股票而言並不大。本頁首次發布時,該筆數據尚待公布(延遲屬正常情況);上方數字就是資料到位後的結果。

財報數據背後的基本面

公司的自身披露顯示了什麼?但有一點需要注意:資料流落後於申報時程,最新一列早於6月10日的10-Q,因此這裡要看的是期間趨勢,而非最新前端數據。

查詢檔案中MU最近公布的六個季度:營收、淨利及稀釋後EPS
季末營收(十億美元)占最高營收百分比淨利(十億美元)稀釋後每股盈餘
2024-08-297.7556.80.890.8
2024-11-288.7163.91.871.67
2025-02-278.05591.581.41
2025-05-299.368.21.881.68
2025-08-2811.32833.22.84
2025-11-2713.641005.244.6
每個數據背後的精確 SQL 語法
SELECT quarter_end, revenue_bn,
    round(100 * revenue_bn / max(revenue_bn) OVER (), 1) AS pct_of_peak_revenue,
    net_income_bn, diluted_eps
FROM (
    SELECT toString(period_end) AS quarter_end,
        round(toFloat64(revenue) / 1e9, 2) AS revenue_bn,
        round(toFloat64(net_income_loss_attributable_common_shareholders) / 1e9, 2) AS net_income_bn,
        round(toFloat64(diluted_earnings_per_share), 2) AS diluted_eps
    FROM global_markets.stocks_income_statements
    WHERE has(tickers, 'MU') AND timeframe = 'quarterly'
    ORDER BY period_end DESC
    LIMIT 6
)
ORDER BY quarter_end ASC
自己執行這個查詢

在目前收錄的六個季度中,營收介於7.75億美元(2024-08-29)至13.64億美元(2025-11-27)之間。最新一列創下這段期間的高點,該季淨利為5.24億美元,稀釋後 EPS 為4.6美元。走勢並非直線上升,但這段期間以高點收尾。

接下來應關注的事項

以下僅列出行事曆上的已知事項:下一次放空部位結算將在7月中旬進行,並依 FINRA 通常的延遲時程公布;6月申報的季度資料,待資料供應商更新後,將納入基本面資料列;至於7月的盤勢,將在本系列下一期以相同方式處理。

常見問題

MU 股票為何在2026年6月大幅波動?

本頁著重呈現數據,而非解釋原因:MU 的交易區間介於 $850.1 至 $1255;季度 8-K 的日期為 2026-06-24,下一個交易日上漲 15.8%,成交量也是當月最高;整個記憶體類股籃子在此期間也朝相同方向變動。

MU 在2026年6月的波動程度如何?

這是其半年期間波動最劇烈的月份:年化實現波動率為 127.6%,平均單日價格區間為 7.6%;但期初至期末報酬率僅為 14%。

MU 6月的走勢是公司特有,還是整個產業的走勢?

這是整個產業的走勢,而 MU 在上漲股中表現落後:SNDK 上漲 31.3%,所有儲存類股的表現都優於 MU 的 14%;SPY 與 NVDA 則收低。MU 的特點在於成交額:995.7 十億美元,為該類股籃子中最高。

MU 的融券餘額高嗎?

相對於自身交易量而言不高:截至 2026-06-30 結算日,融券股數為 31.67 百萬股,約相當於 0.53 個平均成交量日的回補時間,較6月中旬減少 9.92 百萬股。融券餘額一律會有結算日落後公布的時間差。

MU 的 put/call ratio 代表什麼?

6月的比率為 0.99,表示買權與賣權的成交量幾乎相等,反映雙向市場,而不是單邊押注。低於一通常表示買權偏多(NVDA 6月的情況),高於一則表示賣權偏多。

資料說明

完整資料說明
  • 標的。 MU 代表 Micron Technology, Inc.,CIK 0000723125,為單一且持續的 EDGAR 身分;沒有代號重複使用的疑慮。
  • 放空成交量涵蓋範圍。 6月檔案涵蓋 16 個交易日中的 21 個交易日(包括6月29日的不完整資料,以及 MU 特有的缺漏);所示比率僅按日計算。
  • 同業籃子。 包含 SNDK、WDC、INTC(6月 MU 新聞流中最常見的儲存產業共同標籤),以及作為參考基準的 NVDA 和 SPY;事前即已定義,並非事後組成。
  • 選擇權解析。 依 OCC 代號重新解析到期日、類型與履約價(第5、11、12位);權利金以 100 股乘數計算。
  • 跨式選擇權方法。 採用最終收盤價附近履約價、且為月底後最近到期日的最後成交價,而非報價;這是成交紀錄,不是模型推算的波動率。
  • 基本面資料落後。 損益表資料流落後於申報日程;其中最新一筆 MU 資料早於6月的 10-Q,僅供觀察趨勢背景。
  • 6月19日休市 已由 SPY 零成交柱的記錄核實。
  • 價差面板 排除交叉報價或單邊報價,並在同列揭露排除筆數。
  • 包括本代號登上整體市場成交排行榜首位在內的全市場背景,請參閱 2026年6月回顧。

方法論

  • 期間為2026年6月1日至30日(21個交易日,已根據觀察到的 bars 驗證)。報酬率以正常交易時段開盤價至正常交易時段最後收盤價計算。6月全月均採 EDT,因此正常交易時段的原始時間範圍為 UTC 13:30–20:00。追蹤面板涵蓋以 EST 計算的月份,並改用 Eastern 時鐘篩選。
  • 已實現波動率為每日收盤至收盤對數報酬率的樣本標準差(採正常交易時段收盤價),再乘以 252 的平方根年化;當月第一筆報酬率跨越月份邊界,並計入後一個月。
  • 追蹤比較均即時計算,不使用儲存值。
  • 生成作業僅能透過設有閘門的唯讀路徑批次執行;公開頁面不會查詢即時資料。資料倉儲截至2026年7月12日。

每個面板均對應一個儲存物件,包括圖表、表格與 SQL。可在 Strasmore terminal 上進一步執行任何查詢。

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