Strasmore Research
市场回顾 Matt Connor作者： Matt Connor · 更新于 2026-07-23

2026年7月6日当周市场回顾

半导体板块剧烈波动，NVDA表现亮眼，MU成交额竟超过SPY，解析指数平稳背后的个股分化。

2026年7月6日当周，半导体板块在看似平稳的指数表现下经历了剧烈波动。五个交易日内，市场经历了芯片股暴跌、反弹、夏季最剧烈的开盘，以及 NVDA 在周五的收复失地——最终 SPY 净涨 1.4%。两个事实说明了情况：本周 MU 的成交额超过了 SPY 本身，且在增长指数上涨 1.8% 的一周里，下跌的流动性股票多于上涨的股票。以下所有数据均提取自历史查询。

本周行情回顾

周涨跌幅统计周期为 7 月 2 日（周四）常规收盘至 7 月 10 日（周五）收盘（7 月 3 日为独立日休市）。各行按字母顺序排列。

查询SPY / QQQ / DIA / IWM — 7月6日当周对比7月2日收盘，含上周涨跌幅
每个数字背后的完整 SQL
SELECT ticker,
    round(argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-07-02') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS prior_week_close,
    round(argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-07-06') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS week_close,
    round((argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-07-06') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)
         / argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-07-02') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100, 1) AS week_change_pct,
    round((argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-07-02') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)
         / argMaxIf(toFloat64(close), window_start, toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-26') AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100, 1) AS prior_week_change_pct
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
  AND window_start >= '2026-06-22 13:30:00' AND window_start < '2026-07-10 20:00:00'
GROUP BY ticker
ORDER BY ticker

市场分化明显：QQQ +1.8% 与 SPY +1.4% 表现强劲，而 DIA -0.4% 与 IWM -0.5% 则表现疲软。增长主要集中在大型科技股；道琼斯指数和小盘股指数本周收跌。本周市场涨幅并未覆盖全行业。

本周表现逊于过去一年

查询SPY 年度回顾 (周涨跌幅，约53周)
每个数字背后的完整 SQL
SELECT round(anyIf(ret, wk = toDate('2026-07-06')), 2) AS week_open_to_close_pct,
       arrayCount(x -> x > anyIf(ret, wk = toDate('2026-07-06')), groupArrayIf(ret, wk != toDate('2026-07-06'))) + 1 AS rank_best,
       count() AS weeks_compared,
       toString(min(wk)) AS first_week,
       anyIf(sessions, wk = toDate('2026-07-06')) AS sessions_this_week
FROM (
    SELECT toStartOfWeek(toDate(toTimeZone(window_start, 'America/New_York')), 1) AS wk,
           uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
           (argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS ret
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2025-07-06 00:00:00')
      AND window_start < toDateTime('2026-07-11 00:00:00')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY wk
    HAVING sessions >= 3
)

若按开盘至收盘的涨跌幅计算，SPY 本周在过去 53 周中排名第 20 ——处于中游水平。本周经历了夏季以来波动最剧烈的单日开盘（周四）以及最剧烈的板块暴跌（周二），但最终表现平平：剧烈波动相互抵消，整体表现回归常态。

五个交易日，一个趋势

查询SPY 交易时段数据 — 收盘价、涨跌幅及成交额，7月6-10日
每个数字背后的完整 SQL
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 spy_close,
    round((argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / any(prev) - 1) * 100, 1) AS change_pct,
    round(toFloat64(sum(volume)) / 1e6, 1) AS spy_shares_m
FROM global_markets.delayed_stocks_minute_aggs
INNER JOIN (
    SELECT d, lagInFrame(c) OVER (ORDER BY d ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev
    FROM (
        SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
               argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) AS c
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-07-02 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
        GROUP BY d
    )
) AS p ON toDate(toTimeZone(window_start, 'America/New_York')) = p.d
WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
GROUP BY et_date
ORDER BY et_date

趋势走势：周一假期后开盘跳空上涨（+0.9%，回顾）；周二半导体板块走弱，但指数仅回撤 -0.5%（回顾）；周三芯片股大幅反弹，指数持平（-0.3%，回顾）；周四市场全面转绿，迎来夏季波动最剧烈的开盘（+0.8%，回顾）；周五 NVDA 领涨并平稳收尾（+0.4%，回顾），最终收于 $754.9。

周二暴跌的两只核心个股表现如下：

查询周二暴跌：INTC 与 TER，7月7日收盘对比7月6日收盘
每个数字背后的完整 SQL
SELECT ticker, round((c7 / c6 - 1) * 100, 1) AS day_pct
FROM (
    SELECT ticker,
           toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-06 20:00:00')) AS c6,
           toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-07 13:30:00' AND window_start < '2026-07-07 20:00:00')) AS c7
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('INTC', 'TER')
      AND window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-07 20:00:00'
    GROUP BY ticker
)
ORDER BY ticker

周二两股走势：INTC -9.6%，TER -9.6%，同期 SPY 表现为 -0.5%。

市场观点

本文仅作客观陈述；本周叙述均附有姓名。本周 981 篇文章中，市场关注点集中在波动核心的四个标的上：

查询每日新闻摘要：提及 NVDA, MU, INTC, TER 的文章 — 7月6-10日
每个数字背后的完整 SQL
SELECT toDate(toTimeZone(published_utc, 'America/New_York')) AS d,
       countIf(has(tickers, 'NVDA')) AS nvda_articles,
       countIf(has(tickers, 'MU')) AS mu_articles,
       countIf(has(tickers, 'INTC')) AS intc_articles,
       countIf(has(tickers, 'TER')) AS ter_articles
FROM global_markets.stocks_news
WHERE published_utc >= '2026-07-06 00:00:00' AND published_utc < '2026-07-11 04:00:00'
  AND toDate(toTimeZone(published_utc, 'America/New_York')) >= '2026-07-06'
  AND toDate(toTimeZone(published_utc, 'America/New_York')) <= '2026-07-10'
GROUP BY d
ORDER BY d

此处不对标题进行转述，直接引用自原始数据流：

查询新闻原文摘要 (The Motley Fool，暴跌日与反弹日)
每个数字背后的完整 SQL
SELECT toString(toDate(toTimeZone(published_utc, 'America/New_York'))) AS session,
       JSONExtractString(publisher, 'name') AS outlet,
       title AS headline
FROM global_markets.stocks_news
WHERE toDate(toTimeZone(published_utc, 'America/New_York')) IN ('2026-07-07', '2026-07-08')
  AND JSONExtractString(publisher, 'name') = 'The Motley Fool'
  AND (positionCaseInsensitive(title, 'Burry') > 0 OR positionCaseInsensitive(title, 'Sandisk Stock Pop') > 0)
ORDER BY session, title

在暴跌日，该数据流报道了 The Motley Fool 的“Michael Burry Just Revealed His Next Big Short, and It's a Bet Against Nvidia, Micron, and AMD”；在反弹日，同一媒体提出了“Why Did Sandisk Stock Pop Today?”。NVDA 在周五的上涨并未伴随任何催化剂新闻，仅见估值相关的报道；从该数据中无法确定具体原因。

两项发现：MU (17 篇文章) 仅有一次覆盖量超过 NVDA (13) —— 即周三反弹日（NVDA 在其余四天中处于领先地位）；此外，暴跌最剧烈的两个标的之一 TER，在破位当天被提及 0 次，其余日期均为零。这仅代表单一数据流的关注度，而非全球媒体的共识。

市场宽度：多数个股下跌，指数却上涨

查询每周市场广度：7月10日收盘对比7月2日收盘，周成交额 >$5M 的个股
每个数字背后的完整 SQL
SELECT
    countIf(cw > cp AND cp > 0 AND dv >= 5000000) AS advancers,
    countIf(cw < cp AND cp > 0 AND dv >= 5000000) AS decliners,
    countIf(cp > 0 AND cw > 0 AND dv >= 5000000) AS measured_names,
    round(100.0 * countIf(cw > cp AND cp > 0 AND dv >= 5000000) / countIf(cp > 0 AND cw > 0 AND dv >= 5000000), 1) AS advancer_pct
FROM (
    SELECT ticker,
           toFloat64(argMaxIf(close, window_start, window_start < '2026-07-03 00:00:00')) AS cp,
           toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00')) AS cw,
           sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-06 13:30:00') AS dv
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ((window_start >= '2026-07-02 13:30:00' AND window_start < '2026-07-02 20:00:00')
        OR (window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-11 00:00:00'))
    GROUP BY ticker
)

在本周成交额至少达 500 万美元的 6319 只个股中，3270 的个股下跌，而 3015 的个股上涨——上涨股占比仅为 47.7%；与此同时，增长指数上涨了 1.8%。指数的上涨主要由权重股推动；中位数个股的表现则为下跌。这种市场宽度过窄的现象在 周五回顾 中曾被提及，并在过去五天内持续加剧。

板块表现

哪些板块出现下跌？以下是十个 SPDR 板块 ETF 从 7 月 2 日收盘至 7 月 10 日的表现（按字母顺序排列）：

查询板块 ETF 全周涨跌：7月10日收盘对比7月2日收盘
每个数字背后的完整 SQL
SELECT ticker, round((cw / cp - 1) * 100, 1) AS week_pct
FROM (
    SELECT ticker,
           toFloat64(argMaxIf(close, window_start, window_start < '2026-07-03 00:00:00')) AS cp,
           toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')) AS cw
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('XLB', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
      AND ((window_start >= '2026-07-02 13:30:00' AND window_start < '2026-07-02 20:00:00')
        OR (window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'))
    GROUP BY ticker
)
ORDER BY ticker

十个板块中有四个收涨，但仅有两个涨幅显著：能源 (XLE, +3.5%) 和科技 (XLK, +2.9%) 领涨。金融 (0.2%) 和非必需消费 (0.1%) 仅微幅收涨。其余六个板块（从材料 -2.1% 到医疗 -1.8%）均收跌。除这两个明显的赢家外，整体走势偏向下跌。

市场领头羊：MU 交易量连续一周超过指数

查询常规交易时段成交额领先个股，7月6-10日全周
每个数字背后的完整 SQL
SELECT ticker,
       round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 1) AS week_dollar_bn
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-10 20:00:00'
  AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
  AND ticker NOT IN ('SPCX')
GROUP BY ticker
ORDER BY week_dollar_bn DESC
LIMIT 6

MU 在五个交易日内的常规交易美元成交量为 164B，超过了 SPY 的 137.3B。单只存储股的周交易量超过 S&P 500 ETF，这与六月的情况相似 (MU 六月深度分析)；本周交易量前五名还包括 AI/GPU 风向标 NVDA (107.1B) 和另一家存储股 SNDK (88B)。市场波动不仅体现在价格上，更体现在全周资金博弈的焦点上。

剧烈波动后的结果：走势分化，两极分化

本周所有新闻的核心驱动因素为 14 只芯片股。统计周期为 7 月 2 日收盘至 7 月 10 日。按字母顺序排列。

查询芯片板块全周涨跌 — 7月10日收盘对比7月2日收盘，共14个个股
每个数字背后的完整 SQL
SELECT ticker,
       round((cw / cp - 1) * 100, 1) AS week_pct
FROM (
    SELECT ticker,
           toFloat64(argMaxIf(close, window_start, window_start < '2026-07-03 00:00:00')) AS cp,
           toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')) AS cw
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AMD', 'AVGO', 'INTC', 'KLAC', 'LRCX', 'MRVL', 'MU', 'NVDA', 'SNDK', 'SOXL', 'SOXS', 'STX', 'TER', 'WDC')
      AND ((window_start >= '2026-07-02 13:30:00' AND window_start < '2026-07-02 20:00:00')
        OR (window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'))
    GROUP BY ticker
)
ORDER BY ticker

在经历暴跌、反弹、大幅跳空高开以及周五的上涨后，该板块并未同步运行，而是呈现两极分化。AVGO (+11%)、STX (+11%)、SNDK (+9.9%)、NVDA (+8.5%) 和 WDC (+8.1%) 周末涨幅巨大；INTC (-8.8%) 表现惨淡；而周四出现大幅跳空的设备股 KLAC (-1.8%) 和 LRCX (-0.3%) 则回到了原点，基本持平。结论是：交易量超过 S&P 500 ETF 的 MU，全周净涨幅为 +0.3%。 尽管成交额高达 164 亿美元，价格却几乎没有变动——这是市场在高成交量下陷入激烈争论的最典型体现。

The week's newest ticker: SK Hynix's US debut

Friday added a listed member to the memory complex that owned the week's tape — the debut, receipted:

查询SK Hynix 美股首秀：募资、延迟开盘、收盘价对比发行价，以及首日成交排名
每个数字背后的完整 SQL
WITH ipo AS (
    SELECT toFloat64(final_issue_price) AS offer, toFloat64(total_offer_size) AS raise
    FROM global_markets.stocks_ipos
    WHERE issuer_name = 'SK Hynix Inc' AND listing_date = '2026-07-10'
    LIMIT 1
),
debuts AS (
    SELECT a.ticker AS t, sum(toFloat64(a.close) * toFloat64(a.volume)) AS debut_rth_dollars
    FROM global_markets.delayed_stocks_minute_aggs a
    INNER JOIN (
        SELECT multiIf(replaceAll(ticker, ' ', '') = 'SKHY', 'SKHYV', replaceAll(ticker, ' ', '')) AS tk, listing_date
        FROM global_markets.stocks_ipos
        WHERE listing_date >= '2026-01-01' AND listing_date <= '2026-07-10'
    ) l ON a.ticker = l.tk
    WHERE a.window_start >= '2026-01-01 00:00:00' AND a.window_start < '2026-07-11 00:00:00'
      AND toDate(a.window_start) = l.listing_date
      AND (toHour(a.window_start) * 60 + toMinute(a.window_start)) BETWEEN 810 AND 1199
    GROUP BY a.ticker
)
SELECT
    round((SELECT offer FROM ipo), 2) AS offer_px,
    round((SELECT raise FROM ipo) / 1e9, 1) AS raised_bn,
    (SELECT countIf(toFloat64(total_offer_size) > (SELECT raise FROM ipo)) FROM global_markets.stocks_ipos WHERE listing_date >= '2026-01-01' AND listing_date <= '2026-07-10') AS bigger_2026_raises,
    round((SELECT max(toFloat64(total_offer_size)) FROM global_markets.stocks_ipos WHERE listing_date >= '2026-01-01' AND listing_date <= '2026-07-10') / 1e9, 1) AS biggest_2026_raise_bn,
    round(toFloat64(argMinIf(open, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')), 2) AS first_rth_px,
    toHour(toTimeZone(minIf(window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'), 'America/New_York')) * 60
        + toMinute(toTimeZone(minIf(window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'), 'America/New_York')) AS first_rth_bar_et_minute,
    formatDateTime(toTimeZone(minIf(window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'), 'America/New_York'), '%H:%i') AS first_rth_bar_et,
    round(toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')), 2) AS debut_close,
    round((toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')) / (SELECT offer FROM ipo) - 1) * 100, 1) AS close_vs_offer_pct,
    round(toFloat64(argMinIf(open, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00'))
        - toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')), 2) AS faded_from_first_print,
    round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00') / 1e9, 2) AS rth_dollar_bn,
    (SELECT count() FROM debuts) AS debuts_measured_2026,
    (SELECT countIf(debut_rth_dollars > (SELECT debut_rth_dollars FROM debuts WHERE t = 'SKHYV')) + 1 FROM debuts) AS debut_dollar_rank_2026,
    round((SELECT max(debut_rth_dollars) FROM debuts) / 1e9, 1) AS biggest_2026_debut_bn
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SKHYV' AND window_start >= '2026-07-10 04:00:00' AND window_start < '2026-07-11 00:00:00'

The raise: $28.1 billion at $158.14 a share — 1 US raise in 2026 was bigger, SpaceX's $75 billion June listing. With no prior close, the opening cross took until 11:34 ET to find a price: $170. The close, $168.33, faded $1.67 from that first print yet held 6.4% above the offer. And the tape: $18.03 billion of regular-hours dollars — of 144 US debuts measured in 2026, only SpaceX's $81.2 billion first day was heavier.

本周涨跌幅最大的股票

除了芯片股，谁赢了，谁输了？由于未经调整的行情数据会因 30 拆股 而产生虚假的四位数“涨幅”，因此本榜单排除了周内拆股的情况，且要求成交额达到 500 万美元。

查询每周涨跌幅：十大最大涨跌个股，成交额 >$5M，不含拆股因素
每个数字背后的完整 SQL
SELECT ticker, board, week_pct, week_dollar_m,
       round(100 * week_dollar_m / max(week_dollar_m) OVER (), 1) AS pct_of_dollar_max
FROM (
    SELECT 'gainers' AS board, ticker, round((cw / cp - 1) * 100, 1) AS week_pct, round(dv / 1e6, 1) AS week_dollar_m
    FROM (
        SELECT ticker,
               toFloat64(argMaxIf(close, window_start, window_start < '2026-07-03 00:00:00')) AS cp,
               toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')) AS cw,
               sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-06 13:30:00') AS dv
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker NOT IN ('SPCX')
          AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits WHERE execution_date >= '2026-07-06' AND execution_date <= '2026-07-10')
          AND ((window_start >= '2026-07-02 13:30:00' AND window_start < '2026-07-02 20:00:00')
            OR (window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-11 00:00:00'))
        GROUP BY ticker
        HAVING cp > 0 AND cw > 0 AND dv >= 5000000
    )
    ORDER BY week_pct DESC
    LIMIT 10
    UNION ALL
    SELECT 'decliners' AS board, ticker, round((cw / cp - 1) * 100, 1) AS week_pct, round(dv / 1e6, 1) AS week_dollar_m
    FROM (
        SELECT ticker,
               toFloat64(argMaxIf(close, window_start, window_start < '2026-07-03 00:00:00')) AS cp,
               toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-10 13:30:00' AND window_start < '2026-07-10 20:00:00')) AS cw,
               sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-06 13:30:00') AS dv
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker NOT IN ('SPCX')
          AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits WHERE execution_date >= '2026-07-06' AND execution_date <= '2026-07-10')
          AND ((window_start >= '2026-07-02 13:30:00' AND window_start < '2026-07-02 20:00:00')
            OR (window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-11 00:00:00'))
        GROUP BY ticker
        HAVING cp > 0 AND cw > 0 AND dv >= 5000000
    )
    ORDER BY week_pct ASC
    LIMIT 10
)
ORDER BY board DESC, abs(week_pct) DESC

两个板块的波动都很大：涨幅最小的股票上涨了 67%，跌幅最小的股票下跌了 -44.6%。即便 INTC 本周的芯片股表现极其惨淡 (-8.8%)，其波动幅度也远不及榜单中的任何一只股票。这些板块主要由小盘股组成，但有一个例外：CRNX，成交额 9660.5 百万美元，涨幅 98%，是本周成交金额最高的股票 —— 周二隔夜几乎翻倍 的涨幅一直维持到了周五。

做空数据：完整周内仅一份文件缺失

查询每日卖空成交量：个股及卖空总股数，7月6-10日
每个数字背后的完整 SQL
SELECT toString(date) AS d,
       uniqExact(ticker) AS tickers_on_file,
       round(sum(short_volume) / 1e9, 2) AS short_shares_bn
FROM global_markets.stocks_short_volume
WHERE date >= '2026-07-06' AND date <= '2026-07-10'
GROUP BY date
ORDER BY date

五份每日做空交易量文件中有四份是完整的，每份包含约 15384 个代码。7月7日（周二）的文件仅包含 4333 个代码 ——不足其他日期的三分之一 —— 总做空股数也随之缩减（1.93B，而完整日期的数值约为 ~4.62B）。6月29日的文件也存在类似的缺失情况（该周回顾），而7月7日恰好是市场大跌的日子。在文件重新发布前，请勿采信任何关于7月7日单只代码的 做空交易量 数据，因为这些数据无法验证。

期权周：当日到期交易量随日历波动

查询期权合约与 0DTE 股数按交易时段统计，7月6-10日
每个数字背后的完整 SQL
SELECT toDate(sip_timestamp) AS d,
       round(toFloat64(sum(size)) / 1e6, 1) AS contracts_m,
       round(100.0 * sumIf(size, substring(ticker, length(ticker) - 14, 6) = formatDateTime(toDate(sip_timestamp), '%y%m%d')) / sum(size), 1) AS pct_0dte
FROM global_markets.options_trades
WHERE sip_timestamp >= '2026-07-06 00:00:00' AND sip_timestamp < '2026-07-11 00:00:00'
GROUP BY d
ORDER BY d

合约成交量从 58.9M（周四，最低）上升至 65.6M（周五，最高）。0DTE（当日到期）期权反映了日历规律：周四由于没有重大到期日，占比降至 28.7%；而周五随着周度期权到期，占比跃升至 48.7%，正如 到期日历 所预期的。当日到期期权的占比大小仍由日历决定。

利率：全周持续走高

查询国债收益率曲线：7月10日周五数据对比7月2日收盘
每个数字背后的完整 SQL
SELECT
    round((toFloat64(anyIf(yield_2_year, date = '2026-07-10')) - toFloat64(anyIf(yield_2_year, date = '2026-07-02'))) * 100) AS chg_2y_bp,
    round((toFloat64(anyIf(yield_10_year, date = '2026-07-10')) - toFloat64(anyIf(yield_10_year, date = '2026-07-02'))) * 100) AS chg_10y_bp,
    round((toFloat64(anyIf(yield_30_year, date = '2026-07-10')) - toFloat64(anyIf(yield_30_year, date = '2026-07-02'))) * 100) AS chg_30y_bp,
    round(toFloat64(anyIf(yield_10_year, date = '2026-07-10')), 2) AS y10_fri_pct,
    round(toFloat64(anyIf(yield_30_year, date = '2026-07-10')), 2) AS y30_fri_pct,
    (SELECT count() FROM global_markets.treasury_yields WHERE date IN ('2026-07-09', '2026-07-10')) AS jul9_jul10_print_rows
FROM global_markets.treasury_yields
WHERE date IN ('2026-07-02', '2026-07-10')

截至本周五（7月10日）的最终数据，收益率曲线较上周收盘呈近乎平行的上行趋势：2年期 +7 bp，10年期 +7 bp 至 4.56%，30年期 +8 bp 至 5.06% —— 曲线形态未发生扭曲，仅为整体上移。7月9日和10日的数据由于滞后，发布时间较往常更晚（目前已记录 2 行数据）；本节涵盖本周完整数据。

本周行情背后的日程表

查询本周公司日程：文件、股息、拆股、新闻
每个数字背后的完整 SQL
SELECT
    (SELECT count() FROM global_markets.stocks_sec_edgar_index WHERE filing_date >= '2026-07-06' AND filing_date <= '2026-07-10') AS filings_week,
    (SELECT count() FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-10') AS filings_friday,
    toInt64((SELECT count() FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-06'))
        - toInt64((SELECT max(c) FROM (SELECT count() AS c FROM global_markets.stocks_sec_edgar_index WHERE filing_date > '2026-07-06' AND filing_date <= '2026-07-10' GROUP BY filing_date))) AS monday_minus_next_busiest,
    (SELECT round(countIf(form_type = '4' AND filing_date = '2026-07-06') / countIf(form_type = '4' AND filing_date = '2026-07-10'), 1) FROM global_markets.stocks_sec_edgar_index WHERE filing_date >= '2026-07-06' AND filing_date <= '2026-07-10') AS monday_over_friday_form4,
    (SELECT min(c) FROM (SELECT count() AS c FROM global_markets.stocks_sec_edgar_index WHERE filing_date >= '2026-07-06' AND filing_date <= '2026-07-10' AND form_type = '424B2' GROUP BY filing_date)) AS min_daily_424b2,
    (SELECT max(c) FROM (SELECT count() AS c FROM global_markets.stocks_sec_edgar_index WHERE filing_date >= '2026-07-06' AND filing_date <= '2026-07-10' AND form_type = '424B2' GROUP BY filing_date)) AS max_daily_424b2,
    (SELECT count() FROM global_markets.stocks_dividends WHERE ex_dividend_date >= '2026-07-06' AND ex_dividend_date <= '2026-07-10') AS ex_dividends_week,
    (SELECT countIf(toFloat64(split_from) > toFloat64(split_to)) FROM global_markets.stocks_splits WHERE execution_date >= '2026-07-06' AND execution_date <= '2026-07-10') AS reverse_splits_week,
    (SELECT countIf(toFloat64(split_to) > toFloat64(split_from)) FROM global_markets.stocks_splits WHERE execution_date >= '2026-07-06' AND execution_date <= '2026-07-10') AS forward_splits_week,
    (SELECT count() FROM global_markets.stocks_news WHERE toDate(toTimeZone(published_utc, 'America/New_York')) >= '2026-07-06'
        AND toDate(toTimeZone(published_utc, 'America/New_York')) <= '2026-07-10') AS news_week

18347 SEC 文件、560 除权记录、30 逆向与 9 正向拆股、981 新闻文章。本文发布时，7 月 10 日（周五）的 EDGAR 指数尚未更新（这是我们 曾撰文说明过的 数据延迟问题）。目前数据已更新至 3135 文件，因此上述周总计已包含全部五个交易日。

按日期和 表格类型 划分的本周申报情况：

查询按交易时段及表格类型分类的 SEC 文件，7月6-10日
每个数字背后的完整 SQL
SELECT toString(filing_date) AS d,
       count() AS filings,
       countIf(form_type = '4') AS form4,
       countIf(form_type = '8-K') AS form8k,
       countIf(form_type = '424B2') AS f424b2
FROM global_markets.stocks_sec_edgar_index
WHERE filing_date >= '2026-07-06' AND filing_date <= '2026-07-10'
GROUP BY filing_date
ORDER BY filing_date

周一的申报量最高，共计 5019 份，比次忙碌的交易日多出 1289；其中内部人士 Form 4 占比最大，占 2465。3.6 次为周五的 694，发生在独立日四天假期后的第一个交易日。波动最平稳的是 424B2 表格（银行用于结构化票据的搁置招股说明书）：该表格在每个交易日中保持在 487 至 679 的窄幅区间。内部人士申报随日历波动，而票据发行则非常稳定。

周五的申报中还包含了本周新上市的股票代码。SK Hynix 在美上市的申报记录：

查询SK Hynix 7月10日美股上市前的 SEC 文件记录
每个数字背后的完整 SQL
SELECT toString(filing_date) AS filing_date,
       form_type
FROM global_markets.stocks_sec_edgar_index
WHERE issuer_name = 'SK hynix Inc.'
  AND filing_date >= '2026-06-01' AND filing_date <= '2026-07-10'
ORDER BY filing_date ASC, form_type ASC

6 月份的注册声明、本周一的修正案、周四的交易所认证，以及最后一行：424B4 最终招股说明书，于 2026-07-10 提交，即该股开盘的交易日。申报指数与行情走势在日期上保持一致。

交易时段已确认

查询交易时段核实：5个交易日，无节假日，下次休市时间
每个数字背后的完整 SQL
SELECT
    uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions_in_week,
    toString(min(toDate(toTimeZone(window_start, 'America/New_York')))) AS first_session,
    toString(max(toDate(toTimeZone(window_start, 'America/New_York')))) AS last_session,
    (SELECT count() FROM global_markets.stocks_market_holidays WHERE date >= '2026-07-06' AND date <= '2026-07-10') AS holiday_rows_in_week,
    (SELECT toString(min(date)) FROM global_markets.stocks_market_holidays WHERE date > '2026-07-10' AND status = 'closed') AS next_closure_date,
    (SELECT argMin(name, date) FROM global_markets.stocks_market_holidays WHERE date > '2026-07-10' AND status = 'closed') AS next_closure_name
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= '2026-07-06 13:30:00' AND window_start < '2026-07-10 20:00:00'
  AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199

5 个完整交易日，涵盖 2026-07-06 至 2026-07-10，该窗口期内无节假日。这是自 6 月中旬以来第一个连续五个交易日的周。下一个预定休市日为：2026-09-07 的 Labor Day。

预告

下周，来自我们自有数据的更新：

查询下周日程：休市、除息及月度期权到期
每个数字背后的完整 SQL
SELECT
    (SELECT count() FROM global_markets.stocks_market_holidays WHERE date >= '2026-07-11' AND date <= '2026-07-17' AND status != 'open') AS closures_next_week,
    (SELECT count() FROM global_markets.stocks_dividends WHERE ex_dividend_date >= '2026-07-13' AND ex_dividend_date <= '2026-07-17') AS ex_dividends_next_week,
    (SELECT countIf(ticker IN ('AAPL', 'MSFT', 'JPM', 'KO', 'JNJ', 'XOM', 'CVX', 'PG', 'WMT', 'HD')) FROM global_markets.stocks_dividends WHERE ex_dividend_date >= '2026-07-13' AND ex_dividend_date <= '2026-07-17') AS household_ex_div_next_week,
    (SELECT round(100.0 * sumIf(size, substring(ticker, length(ticker) - 14, 6) = '260717') / sum(size), 1) FROM global_markets.options_trades WHERE sip_timestamp >= '2026-07-06 00:00:00' AND sip_timestamp < '2026-07-11 00:00:00') AS jul17_expiry_pct_of_week_volume

节假日数据表显示，下周将有 0 次休市——共计五个完整交易日。640 除权 记录包含在内，但样本中的十家知名公司均无此类记录。下周五是七月的第三个周五——每月期权到期日——当日到期的合约已占本周期权成交量的 14。目前仍有一项数据待更新：7月9日和7月10日的国债发行记录（文件包含 2 行），该数据是本页重新生成的触发条件，需等待财政部文件发布。周五的 EDGAR 指数（本页的另一触发条件）已发布，内容已在上方完整列出。

常见问题

2026年7月6日当周股市表现如何？

走势分化：SPY上涨 1.4%，QQQ上涨 1.8%，DIA 和 IWM 收跌。3270 的 6319 股流动性股票下跌。

2026年7月6日当周哪个板块表现最好？

能源板块：XLE 上涨 3.5%，领先于科技板块的 +2.9% —— 两者是十个板块中明确的赢家。金融板块和非必需消费品板块也小幅收涨（+0.2%，+0.1%），其余六个板块收跌。

SK Hynix 在美股上市表现如何？

其募资额为 28.1 美元，是 2026 年美股第二大募资规模，仅次于 SpaceX。首个交易日收盘价高于 158.14 美元发行价 6.4%，常规交易时段成交额为 18.03 美元。

下一次月度期权到期日是什么时候？

7 月的第三个星期五 —— 即本周之后的周五。当天到期的合约已占本周期权成交量的 14%。

数据说明

所有时间戳均为 UTC；每场交易的常规交易时间为 13:30-20:00 UTC；周统计周期从 7 月 2 日收盘开始，至 7 月 10 日结束。周滚动排名采用开盘至收盘收益率，因此与收盘至收盘计分板不同——两者均已标注。周宽度对比的是 7 月 2 日与 7 月 10 日的收盘价，并应用了单周成交额 500 万美元的筛选条件。其中一个触发阈值被限制为零：即 7 月 9 日和 7 月 10 日的国债发行数据。本页面首次运行时，周五的 EDGAR 日度指数尚未更新，目前已完全计入周申报总量中，该总量不再是底线值。此处不显示 VIX 类型的指标：指数隐含波动率序列未获得本仓库的授权——波动率直接从盘面读取（包括价格区间、0DTE 股票及报价行为）。IPO 表格中保留了带有空格的上市代码；上市面板则通过清洗后的代码进行关联。

方法论

  • 市场数据来源：综合行情数据 —— 价格与成交量采用 delayed_stocks_minute_aggs；期权周数据采用 options_trades。
  • 时区处理：存储的时间戳为 UTC；SELECT 列表中的 ET 标签通过 toTimeZone(...) 实现；WHERE 子句使用原始 UTC 字面量。
  • 确定性聚合：使用元组键进行平局处理；文案中的陈述均以边界值进行编码。
  • SEC 备案来源：stocks_sec_edgar_index（每日 EDGAR 备案索引），按 filing_date 进行计数。
  • 数据仓库截止日期：2026 年 7 月 13 日；已完整摄取股票行情、期权交易及当周的五份 EDGAR 每日索引。7 月 9 日和 7 月 10 日的国债数据仍在传输中。

交叉链接：五份每日数据 —— 周一、周二、周三、周四、周五；以及 MU 六月深度分析、期权到期时间 和 上周回顾。

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