Strasmore Research
Deep Dives · Matt ConnorBy Matt Connor · · Updated 2026-08-31

NVDA: NVDA 7月6日当周走势与成交额

NVDA在7月6日当周先抗跌后领涨:五个交易日逐日拆解涨跌、盘中高低点与成交额,查看周五为何成为成交额最高的ticker。

NVDA 在 2026 年 7 月 6 日当周先是与所属板块走势错位,随后又跑在板块前面。周二芯片股遭抛售时,在下文跟踪的五只主要股票中,只有 NVDA 收涨;周四,其他四只股票全部收涨时,只有 NVDA 收跌。周五,NVDA 录得本周最佳单日表现,并成为当日成交额最高的 ticker。5 个交易日合计:+8.5%,盘中高点为 $211.1,常规交易时段成交额为 $107.1B,为本周成交额排名第 3rd 的 ticker。所有数字均来自存储查询;展开任一面板即可查看 SQL。

一行概览全周

一行涵盖全周:前一个周四的收盘价(7月3日因独立日休市)、开盘价、收盘价、带时间戳的最高价和最低价,以及成交量。

查询NVDA,2026年7月6日当周:开盘至收盘、极值及凭证、成交量
上周五收盘价本周开盘价本周收盘价本周变动 (%)最高收盘日期最高收盘价本周最高价本周最高价首根K线ET时间本周最低价本周最低价K线ET时间本周成交股数(百万)本周成交额(十亿美元)常规交易时段成交额(十亿美元)观测交易日数
194.51194.42210.968.52026-07-10210.96211.12026-07-10 16:01190.62026-07-07 07:35565.2113.6107.15
每个数字背后的完整 SQL
WITH
    (
        SELECT (toString(argMax(et_date, c)), max(c), argMax(c, et_date))
        FROM (
            SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
                   argMax(toFloat64(close), window_start) AS c
            FROM global_markets.delayed_stocks_minute_aggs
            WHERE ticker = 'NVDA'
              AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
              AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
            GROUP BY et_date
        )
    ) AS closes,
    (
        SELECT max(toFloat64(high)) FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA' AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
    ) AS hi,
    (
        SELECT min(toFloat64(low)) FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA' AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
    ) AS lo,
    (
        SELECT argMax(toFloat64(close), window_start) FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA' AND window_start >= toDateTime('2026-07-02 00:00:00') AND window_start < toDateTime('2026-07-03 00:00:00')
          AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    ) AS prior_week_close
SELECT
    round(prior_week_close, 2) AS prior_friday_close,
    round(toFloat64(argMinIf(open, window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199)), 2) AS week_open,
    closes.3 AS week_close,
    round((closes.3 / prior_week_close - 1) * 100, 1) AS week_change_pct,
    closes.1 AS peak_close_date,
    round(closes.2, 2) AS peak_close,
    round(hi, 2) AS week_high,
    formatDateTime(toTimeZone(minIf(window_start, toFloat64(high) >= hi - 0.011), 'America/New_York'), '%Y-%m-%d %H:%i') AS week_high_first_bar_et,
    round(lo, 2) AS week_low,
    formatDateTime(toTimeZone(minIf(window_start, toFloat64(low) <= lo + 0.011), 'America/New_York'), '%Y-%m-%d %H:%i') AS week_low_bar_et,
    round(toFloat64(sum(volume)) / 1e6, 1) AS week_shares_m,
    round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 1) AS week_dollar_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
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
  AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
自己运行这个查询

从$194.51升至$210.96+8.5%。首尾价格勾勒出走势:$190.6的低点于2026-07-07 07:35 ET(周二盘前)成交,距抛售行情开盘还有数小时;$211.1的高点于2026-07-10 16:01 ET成交,对应周五收盘竞价所在的时段。第二个交易日之前已触底,几乎在最后一笔成交时见顶;成交量为565.2百万股,含延长交易时段成交额$113.6B。

逐日表现

五个交易日,各不相同。究竟是哪几天贡献了涨幅?

查询NVDA按交易时段:收盘价、变动、股数、金额
ET日期收盘价(美元)变动 (%)成交股数(百万)成交额(十亿美元)
2026-07-06195.620.684.316.54
2026-07-07196.930.7110.421.52
2026-07-08204.143.7126.825.43
2026-07-09202.76-0.7112.122.67
2026-07-10210.964131.627.41
每个数字背后的完整 SQL
SELECT
    et_date,
    close_usd,
    round(if(prev_close = 0, NULL, (close_usd / prev_close - 1) * 100), 1) AS change_pct,
    shares_m,
    dollar_bn
FROM (
    SELECT et_date, close_usd, shares_m, dollar_bn,
           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,
            round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_bn
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA'
          AND window_start >= toDateTime('2026-07-02 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
        GROUP BY et_date
    )
)
WHERE et_date >= toDate('2026-07-06')
ORDER BY et_date
自己运行这个查询

走势如下:周一和周二小幅上涨。周二是芯片股遭抛售的一天。当日收盘仍上涨 +0.7%,使 NVDA 成为板块中唯一幸存者(成交明细见下一节)。周三上涨 +3.7%,为本周第二佳收盘日,同时大盘走势趋于稳定。周四为-0.7%,市场选择观望:今夏最剧烈的开盘行情中股价下跌,而所有同业股票均收盘上涨。周五上涨 +4%,收于 $210.96,全天成交额为 27.41B,是周五盘面上成交额最高的股票,成交明细见下文。除周四外,美元成交额逐日增加:周一为 16.54B,周五升至 27.41B。

芯片板块逐日表现

“相对板块交易”这一说法,读者应当可以自行核查:对比 NVDA、AMD、MU、INTC 和 TSM(台积电 ADR),观察五个交易日的表现。

查询NVDA与芯片板块:按交易时段收盘价环比变化%
ET日期NVDA变动 (%)AMD变动 (%)MU变动 (%)INTC变动 (%)TSM变动 (%)
2026-07-060.66.50.91.54
2026-07-070.7-6.4-4.6-9.6-4.2
2026-07-083.70.11.1-0.20.9
2026-07-09-0.75.74.32.10.1
2026-07-1042.1-1.2-2.4-0.6
每个数字背后的完整 SQL
SELECT
    toString(d) AS et_date,
    round(maxIf(pct, ticker = 'NVDA'), 1) AS nvda_pct,
    round(maxIf(pct, ticker = 'AMD'), 1) AS amd_pct,
    round(maxIf(pct, ticker = 'MU'), 1) AS mu_pct,
    round(maxIf(pct, ticker = 'INTC'), 1) AS intc_pct,
    round(maxIf(pct, ticker = 'TSM'), 1) AS tsm_pct
FROM (
    SELECT ticker, d,
           (c / lagInFrame(c) OVER (PARTITION BY ticker ORDER BY d ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) - 1) * 100 AS pct
    FROM (
        SELECT ticker,
               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 IN ('NVDA', 'AMD', 'MU', 'INTC', 'TSM')
          AND window_start >= toDateTime('2026-07-02 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
        GROUP BY ticker, d
    )
)
WHERE d >= toDate('2026-07-06')
GROUP BY d
ORDER BY d
自己运行这个查询

周一,芯片板块整体上涨。AMD 上涨 +6.5%,而 NVDA 仅上涨 +0.6%。周二板块遭遇抛售:AMD -6.4%,MU -4.6%,INTC -9.6%,TSM -4.2%;NVDA 则上涨 +0.7%,是该篮子中唯一收涨的股票。周四走势反转:其余四只同业股全部上涨,AMD 领先,上涨 +5.7%;NVDA 则唯一收跌,下跌 -0.7%。周五,NVDA 上涨 +4%,涨幅居前;MU 下跌 -1.2%,INTC 下跌 -2.4%,TSM 下跌 -0.6%。五个交易日中有三个交易日,NVDA 的收盘方向与四只同业股中至少三只相反。MU深度分析介绍了本周成交量领跑的这只股票。

The 3rd-biggest ticker on the tape

Rank claims need a stated basis and a receipt, the leaderboard for context, then a one-row receipt against every other ticker.

查询本周常规交易时段美元成交额最高的股票
ticker常规交易时段成交额(十亿美元)
MU164
SPY137.3
NVDA107.1
QQQ103.4
SNDK88
TSLA69.3
每个数字背后的完整 SQL
SELECT ticker, round(sum(toFloat64(volume) * toFloat64(close)) / 1e9, 1) AS rth_dollar_bn
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 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 rth_dollar_bn DESC
LIMIT 6
自己运行这个查询
查询排名凭证:NVDA本周美元成交额与其他股票的排名,以及仅周五排名
NVDA排名NVDA成交额(十亿美元)涨幅高于NVDA的个股数占领涨股百分比周五排名周五 NVDA 常规交易时段(十亿)周五较下一期利润率(十亿)
3107.1165.3126.560.27
每个数字背后的完整 SQL
WITH (
    SELECT sum(toFloat64(volume) * toFloat64(close))
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
) AS nvda_d,
(
    SELECT sum(toFloat64(volume) * toFloat64(close))
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= toDateTime('2026-07-10 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
) AS nvda_friday,
(
    SELECT (countIf(d > nvda_friday) + 1, max(d))
    FROM (
        SELECT ticker, sum(toFloat64(volume) * toFloat64(close)) AS d
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE window_start >= toDateTime('2026-07-10 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
          AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
          AND ticker NOT IN ('SPCX', 'NVDA')
        GROUP BY ticker
    )
) AS friday_field
SELECT
    countIf(d > nvda_d AND ticker != 'NVDA') + 1 AS nvda_rank,
    round(nvda_d / 1e9, 1) AS nvda_dollar_bn,
    countIf(d > nvda_d AND ticker NOT IN ('SPY', 'QQQ', 'NVDA')) AS single_stocks_above_nvda,
    round(100 * nvda_d / max(d), 1) AS pct_of_leader,
    friday_field.1 AS friday_rank,
    round(nvda_friday / 1e9, 2) AS friday_nvda_rth_bn,
    round((nvda_friday - friday_field.2) / 1e9, 2) AS friday_margin_over_next_bn
FROM (
    SELECT ticker, sum(toFloat64(volume) * toFloat64(close)) AS d
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= toDateTime('2026-07-06 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
自己运行这个查询

Only MU, the week's volume monster, and SPY printed more regular-hours dollars; 1 single stock ranked above NVDA all week, and NVDA ran 65.3% of the leader's total. The Friday columns pin the intro's other claim: on Friday alone, NVDA's $26.56B ranked #1 on the entire tape, $0.27B ahead of the next ticker, a whisker, but the top spot. Basis: regular-hours dollar volume, the July 6–10 window, one reused-symbol ticker excluded (see Data notes).

本周NVDA的收盘位置

接下来最自然的问题是定位:NVDA距离自身高点还有多远?本轮上涨究竟收复了什么?

查询截至周五收盘的NVDA位置检查:过去一年极值与移动平均线
周五收盘价52周最高价52周最高价日期较52周高点低(%)52周最低价52周最低价日期收盘价较52周低点(%)50日均线收盘价较50日均线(%)200日均线收盘价较200日均线(%)观测交易日数
210.96236.542026-05-1410.8162.022025-07-1430.2209.160.9191.7510251
每个数字背后的完整 SQL
WITH daily AS (
    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 c,
        maxIf(toFloat64(high), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) AS h,
        minIf(toFloat64(low), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) AS l
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= toDateTime('2025-07-11 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
    GROUP BY et_date
    HAVING countIf((toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) > 0
)
SELECT
    round(argMax(c, et_date), 2) AS friday_close,
    round(max(h), 2) AS high_52w,
    argMax(toString(et_date), (h, et_date)) AS high_52w_date,
    round(100 * (1 - argMax(c, et_date) / max(h)), 1) AS pct_below_52w_high,
    round(min(l), 2) AS low_52w,
    argMax(toString(et_date), (-l, et_date)) AS low_52w_date,
    round(100 * (argMax(c, et_date) / min(l) - 1), 1) AS close_vs_52w_low_pct,
    round(arrayAvg(arrayMap(t -> t.2, arraySlice(arrayReverseSort(t -> t.1, groupArray((et_date, c))), 1, 50))), 2) AS ma_50d,
    round(100 * (argMax(c, et_date) / arrayAvg(arrayMap(t -> t.2, arraySlice(arrayReverseSort(t -> t.1, groupArray((et_date, c))), 1, 50))) - 1), 1) AS close_vs_ma50_pct,
    round(arrayAvg(arrayMap(t -> t.2, arraySlice(arrayReverseSort(t -> t.1, groupArray((et_date, c))), 1, 200))), 2) AS ma_200d,
    round(100 * (argMax(c, et_date) / arrayAvg(arrayMap(t -> t.2, arraySlice(arrayReverseSort(t -> t.1, groupArray((et_date, c))), 1, 200))) - 1), 1) AS close_vs_ma200_pct,
    count() AS trading_days_observed
FROM daily
自己运行这个查询

周五收于$210.96,较过去一年高点$236.5410.8%。该高点创于2026-05-14。周五收盘较过去一年低点$162.0230.2%;该低点出现在2025-07-14,位于观察窗口的另一端。均线给出的信号更为明确:本周收盘仅较50日均线$209.16+0.9%,但仍较200日均线$191.75高+10%。换言之,NVDA上涨+8.5%后,回到了大致相当于自身两个月均线的位置,而5月高点仍远在上方。

与过去半年相比的本周表现

按NVDA自身的标准来看,这是重要的一周吗?收益率和成交额两个维度,均采用完全相同的方法计算,覆盖2026年的每一周。

查询NVDA每周回报率,过去约26周(每周开盘至收盘):本周排名
27 rows (showing 20)
期间开始日周回报(%)周常规交易时段金额(十亿)
2026-01-05-3.1113.6
2026-01-122.6110.2
2026-01-19392.4
2026-01-262.3103.2
2026-02-02-1.8127.5
2026-02-09-1.1114.9
2026-02-164.586.4
2026-02-23-5.9161.9
2026-03-022.8119.8
2026-03-091.9126.1
2026-03-16-5.4143
2026-03-23-5.5127.4
2026-03-305.1100.9
2026-04-066.5101
2026-04-138.4127.5
2026-04-204.1115.1
2026-04-27-5.4144.6
2026-05-047.9123.3
2026-05-115.3153.2
2026-05-18-6.4148.9
每个数字背后的完整 SQL
SELECT
    toString(wk) AS period_start,
    round(ret, 1) AS week_return_pct,
    round(dollar_bn, 1) AS week_rth_dollar_bn
FROM (
    SELECT toStartOfWeek(toDate(toTimeZone(window_start, 'America/New_York')), 1) AS wk,
           uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
           (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 ret,
           sumIf(toFloat64(close) * toFloat64(volume), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / 1e9 AS dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= toDateTime('2026-01-05 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
    GROUP BY wk
    HAVING sessions >= 3
)
ORDER BY period_start
自己运行这个查询

按每周开盘至收盘计算,本周的+8.5%位于NVDA 2026年周度数据的强势区间,接近2026-04-13周的+8.4%;而就在两周前,2026-06-22周录得-9.3%。成交额则是较为低调的意外:本周的107.1B更接近2026年区间中部,而不是顶部;2026-06-01周在-4.9%的涨跌幅下,成交额达到167.7B。价格表现强劲,但成交额并不异常。基准取自此前的成交数据,并按最新数据重新计算;六月深度分析提供了月度版本。

成交记录由什么构成

周度总量说明成交了多少;成交记录的特征则说明交易是如何发生的。

查询成交笔数规模与报价统计:NVDA,全周
成交笔数(百万)成交股数中位数零股成交占比(%)NBBO 更新数(百万)有效双边报价占比(%)
12.17384.49.8698.99
每个数字背后的完整 SQL
WITH
    (
        SELECT (round(count() / 1e6, 2),
                round(100.0 * countIf(bid_price > 0 AND ask_price > 0 AND ask_price > bid_price) / count(), 2))
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'NVDA'
          AND sip_timestamp >= toDateTime64('2026-07-06 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 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(100.0 * countIf(size < 100) / count(), 1) AS odd_lot_pct_of_prints,
    quote_census.1 AS nbbo_updates_m,
    quote_census.2 AS clean_two_sided_pct
FROM global_markets.stocks_trades
WHERE ticker = 'NVDA'
  AND sip_timestamp >= toDateTime64('2026-07-06 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 00:00:00', 9)
自己运行这个查询

12.17百万笔成交,单笔成交的中位数仅为3股,84.4%的成交低于一手一百股。请注意其中的顺序:成交记录出现的频率高于报价变动,12.17百万笔交易对应9.86百万次NBBO更新(其中98.99%次为干净的双边报价)。在这样的单笔成交规模下,几乎没有大额订单会以完整形式抵达交易所:路由器和算法会将母单拆分为多个子单。现代由散户交易碎片化的市场,在这一行数据中一览无余。

点差有意保持平淡

无论是暴跌、反弹、观望还是大涨,似乎都有理由让流动性收缩。实际情况如何?

查询NVDA按交易时段的报价价差中位数,常规交易时段(中间价的bps)
交易时段中位价差(基点)报价更新数
2026-07-061.021516856
2026-07-071.032411154
2026-07-081.521762259
2026-07-090.991798944
2026-07-100.962214184
每个数字背后的完整 SQL
SELECT
    session,
    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
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'NVDA'
  AND sip_timestamp >= toDateTime64('2026-07-06 13:30:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 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
自己运行这个查询

没有。正常交易时段的中位买卖价差始终处于个位数基点的低位:周一为 1.02 个基点,周五为 0.96 个基点。细节值得再看一遍:本周最宽的中位价差出现在周三,为 1.52 个基点;当天是 NVDA 大幅上涨,而不是暴跌。周二暴跌时,报价为 1.03 个基点,但报价活动却是本周最活跃的,达到 2411154 次更新。在超大市值股票中,压力表现为报价次数增加,而不是价差扩大(为什么应关注价差);订单类型的经济性始终没有变化。

新闻流:关注度在行情启动前达到峰值

如果要用一个叙事概括本周,新闻流应当能够体现这一点,但峰值出现的时间可能出乎预期。

查询新闻流关注度:本周标记为NVDA的文章解析
本周文章数出版商数峰值日日期峰值日文章数周四文章数峰值减周四最高发行方最高发行方占比 (%)MU 联合文章数AMD 联合文章数标题含 AI 的文章数
8632026-07-0625205The Motley Fool77.9241729
每个数字背后的完整 SQL
WITH
    (
        SELECT (toString(d), n)
        FROM (
            SELECT toDate(toTimeZone(published_utc, 'America/New_York')) AS d, count() AS n
            FROM global_markets.stocks_news
            WHERE has(tickers, 'NVDA')
              AND published_utc >= toDateTime('2026-07-06 00:00:00')
              AND published_utc < toDateTime('2026-07-11 04:00:00')
            GROUP BY d ORDER BY n DESC, d ASC LIMIT 1
        )
    ) AS peak_day,
    (
        SELECT (JSONExtractString(publisher, 'name') AS p, count() AS n)
        FROM global_markets.stocks_news
        WHERE has(tickers, 'NVDA')
          AND published_utc >= toDateTime('2026-07-06 00:00:00')
          AND published_utc < toDateTime('2026-07-11 04:00:00')
        GROUP BY p ORDER BY n DESC, p ASC LIMIT 1
    ) AS top_pub
SELECT
    count() AS week_articles,
    uniqExact(JSONExtractString(publisher, 'name')) AS publishers,
    peak_day.1 AS peak_day_date,
    peak_day.2 AS peak_day_articles,
    countIf(toDate(toTimeZone(published_utc, 'America/New_York')) = toDate('2026-07-09')) AS thursday_articles,
    peak_day.2 - countIf(toDate(toTimeZone(published_utc, 'America/New_York')) = toDate('2026-07-09')) AS peak_minus_thursday,
    top_pub.1 AS top_publisher,
    round(100.0 * top_pub.2 / count(), 1) AS top_publisher_share_pct,
    countIf(has(tickers, 'MU')) AS mu_co_articles,
    countIf(has(tickers, 'AMD')) AS amd_co_articles,
    countIf(positionCaseInsensitive(title, 'artificial intelligence') > 0 OR position(title, 'AI') > 0) AS ai_titled_articles
FROM global_markets.stocks_news
WHERE has(tickers, 'NVDA')
  AND published_utc >= toDateTime('2026-07-06 00:00:00')
  AND published_utc < toDateTime('2026-07-11 04:00:00')
自己运行这个查询

86篇文章带有标签,来源于3家发布方。其中,77.9%篇来自单一媒体(The Motley Fool)。另有一个聚合新闻源参与打标,内容偏向散户评论,因此应按这一背景解读。峰值出现在2026-07-06,即周一,共有25篇文章,早于周四围绕观望本身的20篇。内容构成更像是整个行业的叙事,而非专门针对NVDA:29条标题采用了AI框架,24条同时标记MU,17条同时标记AMD。现有数据无法在两个波动日中识别出专属于NVDA的催化剂。原因尚不明确,与其凭空编造,不如明确说明这一点。

期权市场:17.28百万张合约,看涨期权占主导

期权成交记录展现了仓位的形态:与什么相比?集中在哪些行权价?到期日是什么时候?

查询NVDA期权,全周:总量、看跌看涨比与过去基准、行权价和到期日解析
交易合约数 (M)成交笔数(百万)权利金名义金额 (BUSD)周看跌/看涨比率过去 4 周看跌/看涨比率交易到期日数最活跃合约周五收盘价/最活跃行权价周五到期占比 (%)最活跃远期到期日 (月/日)看涨期权成交量行权价高于起始价 (%)
17.282.445.090.420.627$210 call, expiry 2026-07-100.9634.907-1796.6
每个数字背后的完整 SQL
WITH
    (
        SELECT ticker
        FROM global_markets.options_trades
        WHERE startsWith(ticker, 'O:NVDA') AND length(ticker) = 21
          AND sip_timestamp >= toDateTime64('2026-07-06 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 00:00:00', 9)
        GROUP BY ticker ORDER BY sum(size) DESC, ticker ASC LIMIT 1
    ) AS busiest_t,
    (
        SELECT round(toFloat64(sumIf(size, substring(ticker, 13, 1) = 'P')) / toFloat64(sumIf(size, substring(ticker, 13, 1) = 'C')), 2)
        FROM global_markets.options_trades
        WHERE startsWith(ticker, 'O:NVDA') AND length(ticker) = 21
          AND sip_timestamp >= toDateTime64('2026-06-08 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-03 00:00:00', 9)
    ) AS trailing_pc,
    (
        SELECT argMax(toFloat64(close), window_start)
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA' AND window_start >= toDateTime('2026-07-10 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
          AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    ) AS friday_close,
    (
        SELECT argMax(toFloat64(close), window_start)
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'NVDA' AND window_start >= toDateTime('2026-07-02 00:00:00') AND window_start < toDateTime('2026-07-03 00:00:00')
          AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    ) AS start_close,
    (
        SELECT concat(substring(e, 3, 2), '-', substring(e, 5, 2))
        FROM (
            SELECT substring(ticker, 7, 6) AS e, sum(size) AS v
            FROM global_markets.options_trades
            WHERE startsWith(ticker, 'O:NVDA') AND length(ticker) = 21
              AND substring(ticker, 7, 6) > '260710'
              AND sip_timestamp >= toDateTime64('2026-07-06 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 00:00:00', 9)
            GROUP BY e ORDER BY v DESC, e ASC LIMIT 1
        )
    ) AS back_expiry
SELECT
    round(sum(size) / 1e6, 2) AS contracts_traded_m,
    round(count() / 1e6, 2) AS prints_m,
    round(sum(toFloat64(price) * size) * 100 / 1e9, 2) AS premium_notional_busd,
    round(toFloat64(sumIf(size, substring(ticker, 13, 1) = 'P')) / toFloat64(sumIf(size, substring(ticker, 13, 1) = 'C')), 2) AS week_put_call_ratio,
    trailing_pc AS trailing_4w_put_call_ratio,
    uniqExact(substring(ticker, 7, 6)) AS expiries_traded,
    concat('$', toString(round(toFloat64(toUInt32OrZero(substring(busiest_t, 14, 8))) / 1000, 2)),
           if(substring(busiest_t, 13, 1) = 'P', ' put', ' call'),
           ', expiry 20', substring(busiest_t, 7, 2), '-', substring(busiest_t, 9, 2), '-', substring(busiest_t, 11, 2)) AS busiest_contract,
    round(friday_close - toFloat64(toUInt32OrZero(substring(busiest_t, 14, 8))) / 1000, 2) AS friday_close_over_busiest_strike,
    round(100.0 * sumIf(size, substring(ticker, 7, 6) = '260710') / sum(size), 1) AS friday_expiry_share_pct,
    back_expiry AS busiest_back_expiry_md,
    round(100.0 * sumIf(size, substring(ticker, 13, 1) = 'C' AND toFloat64(toUInt32OrZero(substring(ticker, 14, 8))) / 1000 > start_close) / sumIf(size, substring(ticker, 13, 1) = 'C'), 1) AS call_vol_strike_above_start_pct
FROM global_markets.options_trades
WHERE startsWith(ticker, 'O:NVDA') AND length(ticker) = 21
  AND sip_timestamp >= toDateTime64('2026-07-06 00:00:00', 9) AND sip_timestamp < toDateTime64('2026-07-11 00:00:00', 9)
自己运行这个查询

17.28百万张合约,覆盖27个到期日,期权权利金总额为$5.09B,看跌期权与看涨期权的比例为0.42。与什么相比:NVDA此前连续四个完整周的平均值为0.6。在上涨周内,看涨期权倾向反而进一步增强,而不是减弱。集中在哪些行权价:96.6%的看涨期权成交量位于本周$194.51开盘价之上,而该区域在本周开盘时股价尚未触及。到期日是什么时候:34.9%的成交量集中在周五到期的周度期权上;其中成交最活跃的合约是$210 call, expiry 2026-07-10,该合约在周五收盘时到期,股价仅比其行权价高$0.96,与本周成交量最大的行权价相差不到1美元。除周五外,成交最活跃的定期到期合约是07-17,即距今一周到期的7月月度合约(到期日历解读这一比例)。

空头数据:本周带有一项星号说明

FINRA的每日文件跟踪标记为空头卖出的成交量。本周有一项文件质量问题,已明确标注,而非隐去。

查询FINRA每日卖空成交量,NVDA:附文件完整性说明
D卖空股数 (M)文件中的 NVDA 行数
2026-07-0612.71
2026-07-0722.11
2026-07-0824.61
2026-07-0919.51
2026-07-1026.61
每个数字背后的完整 SQL
SELECT toString(date) AS d,
       round(sum(short_volume) / 1e6, 1) AS short_shares_m,
       count() AS nvda_rows_on_file
FROM global_markets.stocks_short_volume
WHERE ticker = 'NVDA' AND date >= toDate('2026-07-06') AND date <= toDate('2026-07-10')
GROUP BY date
ORDER BY date
自己运行这个查询

报告显示,周一每日空头成交量为12.7M股,周五为26.6M股。随着本周成交额增加,成交量大致翻倍。但实际情况没有数字看起来那么剧烈:这些文件统计的是标记为空头卖出的成交量,其中大部分来自做市商的库存管理。空头持仓量与空头成交量可区分这两个概念。本周有一项星号说明:7月7日的文件在全市场范围内出现截断,周度回顾已记录这一问题。因此,在文件重新提交前,应将该交易日的数据视为临时数据,其中包括NVDA的数据。距离本周最近的一次月度两次发布的空头持仓量数据截至6月30日;回补天数则用退出所需时间来衡量空头头寸。

常见问题

NVDA在2026年7月6日当周表现如何?

NVDA上涨了8.5%,股价从周一的$194.51升至7月10日(星期五)的$210.96。当日最高触及$211.1,最低为$190.6。星期五是本周表现最强的交易日,涨幅为+4%。

截至7月6日当周结束,NVDA是否创下历史新高?

不是。星期五收于$210.96,较过去一年高点$236.5410.8%。该高点创于2026-05-14

NVDA是否高于关键移动平均线?

是。7月10日收盘价较50日移动平均线($209.16)高+0.9%,较200日移动平均线($191.75)高+10%。

NVDA当周的看跌/看涨期权比率是多少?这一水平是否异常?

当周每个看涨期权对应0.42个看跌期权。看涨期权交易占比高于NVDA过去四周的0.6。周五到期的周度期权合约占全部合约的34.9%。

本周NVDA是否与芯片板块其他股票同步波动?

大体没有。与AMD、MU、INTC和TSM相比,NVDA是周二市场下跌时唯一收涨的股票(相对AMD的-6.4%,NVDA上涨+0.7%),也是周四反弹时唯一收跌的股票(NVDA下跌-0.7%,而AMD上涨+5.7%)。

数据说明

  • 时间窗口与时钟。 时间戳以 UTC 存储;常规交易时段为 ET 分钟区间 810–1199(纽约时间上午 9:30 至下午 4:00)。前一交易日收盘价为 7 月 2 日星期四收盘价(7 月 3 日为市场假日)。
  • 排行榜排除规则。 美元成交额排行榜按照固定规则仅排除一个 ticker:供应商数据源将该 ticker 归属于两家不同公司,该上市标的的深度分析附有身份核验凭证。除此之外不排除任何标的。
  • 同业篮子。 这是一个预先声明的篮子,包含 AMD、MU、INTC 和 TSM(TSMC 的 ADR)。这些是交易活跃、在美国上市的芯片股,并非供应商的行业分类。
  • 移动平均线。 移动平均线为截至 7 月 10 日、最近五十个和最近两百个常规交易时段收盘价的简单平均值;过去一年极值采用常规交易时段的最高价和最低价。
  • 新闻数据源。 采用一个聚合新闻源的标签,并不代表全球媒体。由于数据仓库中没有获得授权的财报日历数据集,本文不提供未来财报日期的判断。
  • OCC 解析。 期权 ticker 按位置解析(根代码为 O:NVDA;行权价位于最后八位数字中)。与位置和排序有关的判断均通过合理性边界进行编码。

方法论

  • 数据来源:综合行情记录、delayed_stocks_minute_aggsstocks_trades + cache_stocks_quotesoptions_trades、FINRA stocks_short_volume、交易所报告的 stocks_short_interest
  • 确定性聚合:基于稳定键执行 quantileDeterministic;极值采用元组作为平局判定依据。
  • 前期比较:实时根据行情记录计算,从不引用早期文章中的数据;周度基准包含 period_start 列,用于覆盖漂移。
  • 数据仓库截至日期:2026年7月12日(本周最后一个交易日后的 T+2)。

交叉链接:NVDA 2026年6月深度分析、通过 本周市场回顾 查看五篇日度文章,以及通过 DTE 解析 了解期权术语。每个面板的 SQL 均可直接在 Strasmore 终端上运行。