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
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1009.72 | 1151.01 | 14 | 1255 | 2026-06-25 09:35 | 850.1 | 2026-06-05 16:34 | 4.25 | 1.08 | 995.7 | 21 | 0 |
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')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。
| 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) |
|---|---|---|---|
| 2026-01-01 | 40.5 | 414.73 | 235.8 |
| 2026-02-01 | 0 | 412.25 | 236 |
| 2026-03-01 | -15.9 | 337.62 | 342.7 |
| 2026-04-01 | 48.4 | 517.63 | 335 |
| 2026-05-01 | 89.8 | 971.58 | 716.8 |
| 2026-06-01 | 14 | 1151.01 | 995.7 |
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。
| 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 |
|---|---|---|---|---|---|
| 2026-01-01 | 64.8 | 50.8 | 5.4 | 10 | 19 |
| 2026-02-01 | 67.8 | 53.1 | 6.3 | 10 | 19 |
| 2026-03-01 | 78.2 | 61.3 | 6 | 9.9 | 22 |
| 2026-04-01 | 59.2 | 46.4 | 5.5 | 9.1 | 21 |
| 2026-05-01 | 101.4 | 79.4 | 7.2 | 19.3 | 20 |
| 2026-06-01 | 127.6 | 100 | 7.6 | 15.8 | 21 |
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
| 美東日期 | 收盤價(美元) | 變動 (%) | 成交股數(百萬股) |
|---|---|---|---|
| 2026-06-01 | 1034.83 | None | 43.7 |
| 2026-06-02 | 1064.08 | 2.8 | 43 |
| 2026-06-03 | 1079.56 | 1.5 | 37.5 |
| 2026-06-04 | 997.17 | -7.6 | 51.6 |
| 2026-06-05 | 864.01 | -13.4 | 71.3 |
| 2026-06-08 | 949.47 | 9.9 | 50.5 |
| 2026-06-09 | 935.89 | -1.4 | 70.2 |
| 2026-06-10 | 891.5 | -4.7 | 52.8 |
| 2026-06-11 | 995.65 | 11.7 | 53.7 |
| 2026-06-12 | 980.71 | -1.5 | 38.9 |
| 2026-06-15 | 1087.8 | 10.9 | 39.8 |
| 2026-06-16 | 1020.83 | -6.2 | 41.6 |
| 2026-06-17 | 1041.41 | 2 | 43.4 |
| 2026-06-18 | 1132.01 | 8.7 | 48.2 |
| 2026-06-22 | 1211.2 | 7 | 46.3 |
| 2026-06-23 | 1051.42 | -13.2 | 54 |
| 2026-06-24 | 1048.5 | -0.3 | 64.6 |
| 2026-06-25 | 1214.59 | 15.8 | 77.2 |
| 2026-06-26 | 1122.92 | -7.5 | 58.8 |
| 2026-06-29 | 1145 | 2 | 57.8 |
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。
| 盈餘8-K已申報 | 6月24日8-K | 10-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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-06-24 | 1 | 2026-06-25 | 1 | 8 | 2 | 3 | 15.8 | 77.2 | 5.9 | 1 |
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
)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。
| ticker | 6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 (%) |
|---|---|---|---|---|
| SNDK | 31.3 | 17.3 | 381.6 | 38.3 |
| INTC | 27.5 | 13.5 | 272.4 | 27.4 |
| WDC | 19.1 | 5.1 | 105.1 | 10.6 |
| MU | 14 | 0 | 995.7 | 100 |
| SPY | -1.2 | -15.2 | 771.5 | 77.5 |
| NVDA | -7.4 | -21.4 | 523 | 52.5 |
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
| ticker | 正常交易時段成交額(十億美元) | 占領先者 (%) |
|---|---|---|
| MU | 995.7 | 100 |
| SPY | 771.5 | 77.5 |
| QQQ | 672.8 | 67.6 |
| NVDA | 523 | 52.5 |
| SNDK | 381.6 | 38.3 |
| TSLA | 342.7 | 34.4 |
| MRVL | 302.7 | 30.4 |
| INTC | 272.4 | 27.4 |
| AAPL | 270 | 27.1 |
| MSFT | 268.6 | 27 |
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| MU排名 | MU成交額(十億美元) | 較次高者領先(十億美元) |
|---|---|---|
| 1 | 995.7 | 224.3 |
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
)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
| 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 |
|---|---|---|---|---|---|---|---|---|
| 35.17 | 8 | 38.3 | 91.7 | 9.04 | 19.64 | 99.86 | 16963 | 78 |
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)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?
| 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 |
|---|---|---|---|---|
| 2026-06-01 | 41 | 3.96 | 497073 | 428 |
| 2026-06-02 | 40 | 3.84 | 482044 | 467 |
| 2026-06-03 | 46 | 4.31 | 389386 | 341 |
| 2026-06-04 | 41 | 4.1 | 546741 | 456 |
| 2026-06-05 | 41 | 4.45 | 946220 | 1190 |
| 2026-06-08 | 39 | 4.08 | 713643 | 406 |
| 2026-06-09 | 52 | 5.68 | 1165907 | 595 |
| 2026-06-10 | 47 | 5.13 | 905403 | 668 |
| 2026-06-11 | 49 | 5.31 | 1208902 | 2487 |
| 2026-06-12 | 52 | 5.27 | 532349 | 273 |
| 2026-06-15 | 41 | 3.81 | 740689 | 450 |
| 2026-06-16 | 53 | 5.04 | 924925 | 227 |
| 2026-06-17 | 52 | 4.97 | 1195996 | 252 |
| 2026-06-18 | 41 | 3.65 | 1327917 | 617 |
| 2026-06-22 | 44 | 3.7 | 1580144 | 1139 |
| 2026-06-23 | 45 | 4.2 | 940595 | 554 |
| 2026-06-24 | 52 | 5 | 1051175 | 537 |
| 2026-06-25 | 57.5 | 4.78 | 815532 | 1003 |
| 2026-06-26 | 58 | 5 | 1030596 | 412 |
| 2026-06-29 | 50 | 4.62 | 748086 | 414 |
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
| 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) |
|---|---|---|---|---|---|---|
| 4.69 | 11789 | 16.76 | 77.13 | 0.99 | 23 | 1200 |
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)
)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。
| 履約價區間 | 買權合約 | 賣權合約 | Put占比 (%) |
|---|---|---|---|
| $0 | 8664 | 329104 | 97.4 |
| $100 | 6628 | 330218 | 98 |
| $200 | 5372 | 111751 | 95.4 |
| $300 | 8855 | 204913 | 95.9 |
| $400 | 25050 | 358617 | 93.5 |
| $500 | 23654 | 669798 | 96.6 |
| $600 | 30059 | 940706 | 96.9 |
| $700 | 67794 | 870242 | 92.8 |
| $800 | 209357 | 1257829 | 85.7 |
| $900 | 1137271 | 1460236 | 56.2 |
| $1000 | 1923982 | 1076589 | 35.9 |
| $1100 | 1678735 | 596004 | 26.2 |
| $1200 | 1289097 | 109208 | 7.8 |
| $1300 | 601699 | 17228 | 2.8 |
| $1400 | 330431 | 8707 | 2.6 |
| $1500 | 1056463 | 18916 | 1.8 |
每個數據背後的精確 SQL 語法
SELECT
concat('$', 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))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:
| 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 |
|---|---|---|---|---|---|---|
| 2026-07-02 | 2 | 1151.01 | 1150 | 69.95 | 6.08 | 135 |
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')
)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
| 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 |
|---|---|---|---|---|---|---|
| 195 | 4 | The Motley Fool | 59 | 86 | 32 | 21 |
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')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:
| 關鍵字 | 文章 | 文章占比 |
|---|---|---|
| AI infrastructure | 49 | 25.1 |
| memory chips | 43 | 22.1 |
| semiconductor stocks | 38 | 19.5 |
| DRAM | 24 | 12.3 |
| semiconductor | 19 | 9.7 |
| artificial intelligence | 18 | 9.2 |
| data centers | 18 | 9.2 |
| high-bandwidth memory | 14 | 7.2 |
| Micron Technology | 13 | 6.7 |
| AI chips | 12 | 6.2 |
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「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
| 日 | 放空股數(百萬股) | 場外放空占比 |
|---|---|---|
| 2026-06-01 | 6.63 | 31.2 |
| 2026-06-02 | 10.06 | 47.1 |
| 2026-06-03 | 8.29 | 45.1 |
| 2026-06-05 | 14.8 | 41.7 |
| 2026-06-08 | 7.6 | 32.3 |
| 2026-06-09 | 14.36 | 41.3 |
| 2026-06-11 | 9.31 | 34.4 |
| 2026-06-12 | 8.94 | 45.2 |
| 2026-06-15 | 6.83 | 37.1 |
| 2026-06-17 | 6.63 | 28.8 |
| 2026-06-18 | 7.07 | 31.7 |
| 2026-06-22 | 8 | 38.8 |
| 2026-06-24 | 10.45 | 41.9 |
| 2026-06-25 | 17.55 | 46.6 |
| 2026-06-26 | 15.44 | 54.7 |
| 2026-06-30 | 9.32 | 50.9 |
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。
| 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 |
|---|---|---|---|---|---|
| 2026-06-15 | 41.59 | 2026-06-30 | 31.67 | 9.92 | 0.53 |
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')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。
| 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 |
|---|---|---|---|---|
| 2024-08-29 | 7.75 | 56.8 | 0.89 | 0.8 |
| 2024-11-28 | 8.71 | 63.9 | 1.87 | 1.67 |
| 2025-02-27 | 8.05 | 59 | 1.58 | 1.41 |
| 2025-05-29 | 9.3 | 68.2 | 1.88 | 1.68 |
| 2025-08-28 | 11.32 | 83 | 3.2 | 2.84 |
| 2025-11-27 | 13.64 | 100 | 5.24 | 4.6 |
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。