作者： Matt Connor 2026-07-22 · 更新于 2026-09-05 · data as of September 5, 2026 · refreshed weekly

当前IV排名最高的股票

查看当前IV rank最高的美国股票和ETF，了解各标的相对自身52周隐含波动率区间的位置，并对照IV百分位和计算方法。

IV rank衡量一只股票的隐含波动率在自身52周区间中的位置，区间低点为0，区间高点为100。接近高位的读数意味着，相比过去一年各交易日，期权市场目前为该标的计入了更大的未来波动；接近低位则意味着计入的未来波动最小。下表按最新测量的期权交易日（日期为2026-09-02）的IV rank，对IV rank最高的美国股票和ETF进行排名，并同时列出IV percentile，因为这两个指标回答的是同一个问题，只是计算方式不同。

当前IV排名最高的股票

查询IV Rank最高的筛选美股标的，最新期权交易日

代码	当前隐含波动率（%）	隐含波动率排名	隐含波动率百分位	52周隐含波动率低点（%）	52周隐含波动率高点（%）	交易日日期
AEO	76.3	83.2	89.9	45.6	82.5	2026-09-02
PCG	57.9	80	96.1	25.4	66	2026-09-02
HPE	79	78.4	95.6	25	93.9	2026-09-02
ACN	50.3	74.5	79.4	22	60	2026-09-02
ADBE	51.3	71.7	80.2	24.9	61.8	2026-09-02
COST	25.1	68.6	69.4	16.6	29	2026-09-02
PBR	40.2	68	84.8	20.6	49.5	2026-09-02
LULU	57.2	66.3	74.2	28.5	71.8	2026-09-02
AMGN	32.3	65.4	86.5	17.9	39.9	2026-09-02
BP	31	63.7	69.8	18.9	37.9	2026-09-02
XOM	28.8	62.8	62.7	17.2	35.6	2026-09-02
PATH	88.2	60.8	84.5	33.7	123.3	2026-09-02
EWZ	31.9	59.9	87.3	18.1	41.2	2026-09-02
NKE	43.2	59.7	65.1	20.1	58.7	2026-09-02
VALE	33.9	58.3	53.3	17.7	45.5	2026-09-02

每个数字背后的完整 SQL

WITH per_session AS (
    SELECT underlying_symbol AS u,
           date AS d,
           quantileExact(0.5)(implied_volatility) AS iv,
           sum(volume) AS vol
    FROM global_markets.options_greeks
    WHERE date >= (SELECT max(date) FROM global_markets.options_greeks) - 380
      AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
      AND abs(strike_price / underlying_close - 1) <= 0.05
      AND expiration_date BETWEEN date + 20 AND date + 60
      AND underlying_symbol NOT IN ('SPCX','KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT','AMDL','NUAI','VXX','VIXY')
    GROUP BY u, d
    HAVING count() >= 10
),
ranked AS (
    SELECT u, d, iv, vol,
           row_number() OVER w AS rn,
           first_value(iv) OVER w AS iv_latest,
           first_value(d) OVER w AS d_latest
    FROM per_session
    WINDOW w AS (PARTITION BY u ORDER BY d DESC)
),
agg AS (
    SELECT u,
           any(iv_latest) AS iv_cur,
           any(d_latest) AS last_d,
           count() AS sessions,
           min(iv) AS iv_lo,
           max(iv) AS iv_hi,
           countIf(iv < iv_latest) AS below_now,
           sumIf(vol, rn <= 20) AS vol_20d
    FROM ranked
    WHERE rn <= 252
    GROUP BY u
)
SELECT u AS ticker,
       round(100 * iv_cur, 1) AS iv_now_pct,
       round(100 * (iv_cur - iv_lo) / (iv_hi - iv_lo), 1) AS iv_rank,
       round(100 * below_now / sessions, 1) AS iv_percentile,
       round(100 * iv_lo, 1) AS iv_52w_low_pct,
       round(100 * iv_hi, 1) AS iv_52w_high_pct,
       toString(last_d) AS session_date
FROM agg
WHERE sessions >= 200
  AND vol_20d >= 20000
  AND iv_hi > iv_lo
  AND last_d = (SELECT max(date) FROM global_markets.options_greeks)
ORDER BY iv_rank DESC, vol_20d DESC, ticker
LIMIT 15

自己运行这个查询

看第一行。AEO收盘时，平值隐含波动率为76.3%，52周区间为45.6%至82.5%。因此，其IV排名为83.2，IV百分位为89.9。

该指标在两个端点有明确含义：排名为100，表示最新交易日的隐含波动率达到统计区间内的最高水平；排名为0，则表示处于最低水平。这个数字并不说明该股票的绝对波动率很高，只反映其当前水平相对于自身历史区间的位置。

这一点很重要。在整个筛选股票池中排名最高的十分位股票里，当前隐含波动率介于57.9%至76.3%之间，中位数为76.3%。一只始终平静、但当前处于自身平静区间顶部的股票，与一只波动剧烈、且处于自身剧烈区间顶部的股票，IV排名可能相同。如需查看绝对水平，而非相对位置，可通过隐含波动率最高的股票列表按原始IV对相同股票进行排名。

IV rank与IV percentile的区别

这两个指标都将当日隐含波动率放在同一段52周历史数据中比较，但计算方式不同。

IV rank的计算方式是：（当前隐含波动率−52周最低值）÷（52周最高值−最低值），并以百分比表示。它只使用当前值以及观察窗口的两个极值。
IV percentile表示过去252个交易日中，隐含波动率收盘低于今日水平的交易日占比。它使用观察窗口内的每一个交易日数据。

年内某个极端波动交易日会设定一个上限，而基于区间的rank会一直受到这一极值影响；基于计数的percentile则只把它视为252个交易日中的一个观测值。下表按这种差异的一个方向排序：IV percentile减去IV rank，差值从高到低排列。另一种情况是rank高于percentile，这些标的属于另一项筛选，不在本表中。

查询IV Percentile最显著高于IV Rank的标的，最新交易日

代码	当前隐含波动率（%）	隐含波动率排名	隐含波动率百分位	百分位减排名	52周隐含波动率高点（%）
MRNA	79.2	29.1	68.3	39.2	133
AAPL	25.2	16.1	48.8	32.7	55.9
AVGO	49.1	19.5	52	32.5	132.1
SHEL	24.7	31.9	62.7	30.8	47.9
USO	44.5	18.4	48.8	30.4	123.2
XBI	31.9	44.9	73.8	28.9	41.5
EWZ	31.9	59.9	87.3	27.4	41.2
GME	52.9	40.1	66.3	26.2	87.2
PATH	88.2	60.8	84.5	23.7	123.3
QCOM	40.9	29.1	52.8	23.7	92.8
GLD	23.8	34	57.5	23.5	40.6
XOP	30.6	25.1	48.4	23.3	63.5

每个数字背后的完整 SQL

WITH per_session AS (
    SELECT underlying_symbol AS u,
           date AS d,
           quantileExact(0.5)(implied_volatility) AS iv,
           sum(volume) AS vol
    FROM global_markets.options_greeks
    WHERE date >= (SELECT max(date) FROM global_markets.options_greeks) - 380
      AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
      AND abs(strike_price / underlying_close - 1) <= 0.05
      AND expiration_date BETWEEN date + 20 AND date + 60
      AND underlying_symbol NOT IN ('SPCX','KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT','AMDL','NUAI','VXX','VIXY')
    GROUP BY u, d
    HAVING count() >= 10
),
ranked AS (
    SELECT u, d, iv, vol,
           row_number() OVER w AS rn,
           first_value(iv) OVER w AS iv_latest,
           first_value(d) OVER w AS d_latest
    FROM per_session
    WINDOW w AS (PARTITION BY u ORDER BY d DESC)
),
agg AS (
    SELECT u,
           any(iv_latest) AS iv_cur,
           any(d_latest) AS last_d,
           count() AS sessions,
           min(iv) AS iv_lo,
           max(iv) AS iv_hi,
           countIf(iv < iv_latest) AS below_now,
           sumIf(vol, rn <= 20) AS vol_20d
    FROM ranked
    WHERE rn <= 252
    GROUP BY u
),
board AS (
    SELECT u,
           round(100 * iv_cur, 1) AS iv_now_pct,
           round(100 * (iv_cur - iv_lo) / (iv_hi - iv_lo), 1) AS iv_rank,
           round(100 * below_now / sessions, 1) AS iv_percentile,
           round(100 * iv_hi, 1) AS iv_52w_high_pct
    FROM agg
    WHERE sessions >= 200
      AND vol_20d >= 20000
      AND iv_hi > iv_lo
      AND last_d = (SELECT max(date) FROM global_markets.options_greeks)
)
SELECT u AS ticker,
       iv_now_pct,
       iv_rank,
       iv_percentile,
       round(iv_percentile - iv_rank, 1) AS percentile_minus_rank,
       iv_52w_high_pct
FROM board
ORDER BY percentile_minus_rank DESC, iv_now_pct DESC, ticker
LIMIT 12

自己运行这个查询

在这一方向上，差距最大的是MRNA：IV percentile为68.3，IV rank为29.1，在同一交易日、基于同一数据计算出的差值为39.2个百分点。该标的当前隐含波动率为79.2%，52周最高隐含波动率为133%。Percentile统计交易日数量；对该标的而言，观察窗口内大多数交易日的波动率都低于最新水平。Rank衡量当前值距离极值的远近，而52周最高值仍高于最新读数。同一组数据，可以得到两个答案。

这两个指标没有谁绝对正确。Rank回答的是最新读数距离区间极值有多近。Percentile回答的是，相比典型交易日，当前读数有多异常。

高IV排名的实际形态

查询排名最高标的的隐含波动率周度走势及52周高低点

50 rows (showing 20)
周	隐含波动率（%）	52周隐含波动率高点（%）	52周隐含波动率低点（%）
2025-08-18	72.5	82.5	45.6
2025-08-25	72.7	82.5	45.6
2025-09-08	55.3	82.5	45.6
2025-09-15	56	82.5	45.6
2025-09-22	55.2	82.5	45.6
2025-09-29	51.3	82.5	45.6
2025-10-06	54.3	82.5	45.6
2025-10-13	62.1	82.5	45.6
2025-10-20	58.7	82.5	45.6
2025-10-27	61	82.5	45.6
2025-11-10	78.3	82.5	45.6
2025-11-17	76.4	82.5	45.6
2025-11-24	77.7	82.5	45.6
2025-12-01	51.5	82.5	45.6
2025-12-08	48.8	82.5	45.6
2025-12-15	58.5	82.5	45.6
2025-12-22	52.6	82.5	45.6
2025-12-29	53.1	82.5	45.6
2026-01-05	55.7	82.5	45.6
2026-01-12	53.6	82.5	45.6

每个数字背后的完整 SQL

WITH per_session AS (
    SELECT underlying_symbol AS u,
           date AS d,
           quantileExact(0.5)(implied_volatility) AS iv,
           sum(volume) AS vol
    FROM global_markets.options_greeks
    WHERE date >= (SELECT max(date) FROM global_markets.options_greeks) - 380
      AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
      AND abs(strike_price / underlying_close - 1) <= 0.05
      AND expiration_date BETWEEN date + 20 AND date + 60
      AND underlying_symbol NOT IN ('SPCX','KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT','AMDL','NUAI','VXX','VIXY')
    GROUP BY u, d
    HAVING count() >= 10
),
ranked AS (
    SELECT u, d, iv, vol,
           row_number() OVER w AS rn,
           first_value(iv) OVER w AS iv_latest,
           first_value(d) OVER w AS d_latest
    FROM per_session
    WINDOW w AS (PARTITION BY u ORDER BY d DESC)
),
agg AS (
    SELECT u,
           any(iv_latest) AS iv_cur,
           any(d_latest) AS last_d,
           count() AS sessions,
           min(iv) AS iv_lo,
           max(iv) AS iv_hi,
           sumIf(vol, rn <= 20) AS vol_20d
    FROM ranked
    WHERE rn <= 252
    GROUP BY u
),
leader AS (
    SELECT u, iv_lo, iv_hi
    FROM agg
    WHERE sessions >= 200
      AND vol_20d >= 20000
      AND iv_hi > iv_lo
      AND last_d = (SELECT max(date) FROM global_markets.options_greeks)
    ORDER BY round(100 * (iv_cur - iv_lo) / (iv_hi - iv_lo), 1) DESC, vol_20d DESC, u
    LIMIT 1
)
SELECT toString(toMonday(r.d)) AS week,
       round(100 * quantileExact(0.5)(r.iv), 1) AS iv_pct,
       round(100 * any(l.iv_hi), 1) AS iv_52w_high_pct,
       round(100 * any(l.iv_lo), 1) AS iv_52w_low_pct
FROM ranked AS r
INNER JOIN leader AS l ON r.u = l.u
WHERE r.rn <= 252
GROUP BY week
HAVING uniqExact(r.d) >= 3
    OR max(r.d) = (SELECT max(date) FROM global_markets.options_greeks)
ORDER BY week

自己运行这个查询

这是AEO的周度走势。它是该看板排名第一的标的，图中以水平参考线标出了52周高点和低点。每个绘制点都是该周每日读数的中位数。因此，这条线按定义位于每日高低区间内，而不会触及任一参考线。该测量窗口从72.5%开始，并在持有76.2%所代表的最新交易日的情况下结束；上限为82.5%，下限为45.6%。排名所使用的单个交易日数据，是上方看板中76.3%的每日读数。IV排名反映的就是这一点：将最新读数放在其自身区间的边界之间，而不论该区间具体处于什么位置。

走势形态与排名分数同样重要。一个标的经过数月上涨，另一个标的一周内跳空至相同水平，二者显示的排名可能完全相同。关于高读数在预定事件后通常会如何变化，请参阅基于实际财报衡量IV Crush。

全市场的IV排名分布

查询筛选标的在IV Rank区间的分布，最新交易日

隐含波动率排名区间	名称	名称累计数	隐含波动率中位数（%）	距最高值的中位数差（%）	最低隐含波动率（%）	最高隐含波动率（%）
80-90	2	2	76.3	0	57.9	76.3
70-80	3	5	51.3	-25	50.3	79
60-70	7	12	32.3	-44	25.1	88.2
50-60	13	25	40.3	-36	18.7	76.9
40-50	33	58	38	-38.3	16.4	79.7
30-40	46	104	37.1	-39.2	15.2	89.9
20-30	70	174	34	-42.3	5.9	83.3
10-20	58	232	35.3	-41	10.2	92.7
0-10	24	256	48	-28.3	4.7	77.2

每个数字背后的完整 SQL

WITH per_session AS (
    SELECT underlying_symbol AS u,
           date AS d,
           quantileExact(0.5)(implied_volatility) AS iv,
           sum(volume) AS vol
    FROM global_markets.options_greeks
    WHERE date >= (SELECT max(date) FROM global_markets.options_greeks) - 380
      AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
      AND abs(strike_price / underlying_close - 1) <= 0.05
      AND expiration_date BETWEEN date + 20 AND date + 60
      AND underlying_symbol NOT IN ('SPCX','KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT','AMDL','NUAI','VXX','VIXY')
    GROUP BY u, d
    HAVING count() >= 10
),
ranked AS (
    SELECT u, d, iv, vol,
           row_number() OVER w AS rn,
           first_value(iv) OVER w AS iv_latest,
           first_value(d) OVER w AS d_latest
    FROM per_session
    WINDOW w AS (PARTITION BY u ORDER BY d DESC)
),
agg AS (
    SELECT u,
           any(iv_latest) AS iv_cur,
           any(d_latest) AS last_d,
           count() AS sessions,
           min(iv) AS iv_lo,
           max(iv) AS iv_hi,
           sumIf(vol, rn <= 20) AS vol_20d
    FROM ranked
    WHERE rn <= 252
    GROUP BY u
),
screened AS (
    SELECT least(intDiv(toUInt16(floor(100 * (iv_cur - iv_lo) / (iv_hi - iv_lo))), 10), 9) AS b,
           100 * iv_cur AS iv_now_pct
    FROM agg
    WHERE sessions >= 200
      AND vol_20d >= 20000
      AND iv_hi > iv_lo
      AND last_d = (SELECT max(date) FROM global_markets.options_greeks)
),
buckets AS (
    SELECT b,
           count() AS names,
           round(quantileExact(0.5)(iv_now_pct), 1) AS median_iv_pct,
           round(min(iv_now_pct), 1) AS lowest_iv_pct,
           round(max(iv_now_pct), 1) AS highest_iv_pct
    FROM screened
    GROUP BY b
)
SELECT concat(toString(b * 10), '-', toString(b * 10 + 10)) AS iv_rank_bucket,
       names,
       sum(names) OVER (ORDER BY b DESC) AS names_cumulative,
       median_iv_pct,
       round(median_iv_pct - first_value(median_iv_pct) OVER (ORDER BY b DESC), 1) AS median_gap_to_top_pct,
       lowest_iv_pct,
       highest_iv_pct
FROM buckets
ORDER BY b DESC

自己运行这个查询

本交易日共有256只股票同时满足流动性和历史数据门槛。按排名划分为十分位区间后，其中2只位于80-90区间，另有24只位于另一端的0-10区间。当前隐含波动率中位数随排名下降而走低：最高区间为76.3%，底部的0-10区间为48%。差值列则将各区间与最高区间的中位数逐一比较。应纵向观察整张表的走势，而不是只看某一个相邻区间的变化：仅包含少量股票的区间，其中位数容易出现较大噪声；相邻两个区间的排序也可能反转。

单个读数需要放在整体分布中理解。一个看似很高的排名本身意义有限，除非您知道同时处于这一水平的其他股票有多少。

最受关注股票的IV排名

查询12只广泛持有股票的IV Rank和IV Percentile，最新交易日

代码	当前隐含波动率（%）	隐含波动率排名	隐含波动率百分位	52周隐含波动率低点（%）	52周隐含波动率高点（%）	交易日日期
QQQ	18.3	31.7	16.7	13.3	29	2026-09-02
COIN	63	31.3	29.8	49.1	93.5	2026-09-02
AMD	47.4	27.3	11.5	28.9	96.9	2026-09-02
META	34	24.8	40.1	22.6	68.6	2026-09-02
MSTR	68.5	23.6	31.7	50.2	127.6	2026-09-02
SPY	13.2	16.9	12.7	10.6	25.9	2026-09-02
AAPL	25.2	16.1	48.8	19.3	55.9	2026-09-02
TSLA	41.7	14.6	10.3	37	69.4	2026-09-02
MSFT	24.6	11.3	20.6	19.4	65.8	2026-09-02
AMZN	29.8	7	25.4	24.6	99.4	2026-09-02
PLTR	46.8	6.7	8.7	42.1	112.1	2026-09-02
NVDA	31.7	0	0	31.7	61.7	2026-09-02

每个数字背后的完整 SQL

WITH per_session AS (
    SELECT underlying_symbol AS u,
           date AS d,
           quantileExact(0.5)(implied_volatility) AS iv
    FROM global_markets.options_greeks
    WHERE date >= (SELECT max(date) FROM global_markets.options_greeks) - 380
      AND underlying_symbol IN ('SPY','QQQ','AAPL','MSFT','AMZN','META','NVDA','AMD','TSLA','COIN','MSTR','PLTR')
      AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
      AND abs(strike_price / underlying_close - 1) <= 0.05
      AND expiration_date BETWEEN date + 20 AND date + 60
    GROUP BY u, d
    HAVING count() >= 10
),
ranked AS (
    SELECT u, d, iv,
           row_number() OVER w AS rn,
           first_value(iv) OVER w AS iv_latest,
           first_value(d) OVER w AS d_latest
    FROM per_session
    WINDOW w AS (PARTITION BY u ORDER BY d DESC)
),
agg AS (
    SELECT u,
           any(iv_latest) AS iv_cur,
           any(d_latest) AS last_d,
           count() AS sessions,
           min(iv) AS iv_lo,
           max(iv) AS iv_hi,
           countIf(iv < iv_latest) AS below_now
    FROM ranked
    WHERE rn <= 252
    GROUP BY u
)
SELECT u AS ticker,
       round(100 * iv_cur, 1) AS iv_now_pct,
       round(100 * (iv_cur - iv_lo) / (iv_hi - iv_lo), 1) AS iv_rank,
       round(100 * below_now / sessions, 1) AS iv_percentile,
       round(100 * iv_lo, 1) AS iv_52w_low_pct,
       round(100 * iv_hi, 1) AS iv_52w_high_pct,
       toString(last_d) AS session_date
FROM agg
WHERE sessions >= 200
  AND iv_hi > iv_lo
  AND last_d = (SELECT max(date) FROM global_markets.options_greeks)
ORDER BY iv_rank DESC, ticker

自己运行这个查询

这是对十二只广泛持有的股票代码进行的同一项测算。QQQ的IV排名在这一组中最高，为31.7；其当前隐含波动率为18.3%。NVDA位于列表另一端，排名为0，隐含波动率为31.7%。请注意，在同一行中，排名列与百分位列可能相距很大；这与背离面板所衡量的区间与计数之间的计算关系相同。

这些股票代码各自都有独立的IV页面：NVDA隐含波动率、TSLA隐含波动率、AAPL隐含波动率和AMD隐含波动率均提供完整的交易时段历史数据和期限结构。若要了解本页面每项评分背后的概念，请先阅读什么是隐含波动率。

衡量方法

这里的每个数字都来自同一来源：每日期权 Greeks 文件。文件按合约和交易时段逐行存储数据，涵盖美国上市股票期权和 ETF 期权。

每个标的每个交易时段使用一个隐含波动率。 该数值为标的近价合约的隐含波动率中位数。近价合约指行权价在收盘股价上下 5% 以内、距离到期还有 20 至 60 个日历日的合约。使用中位数而非平均数，可以避免单个错误定价的合约影响结果。
只有至少有 10 个合约满足筛选条件时，该交易时段才计入。 成交稀疏的交易时段会被剔除，不予发布。
只保留计算收敛的结果。 隐含波动率根据期权价格计算，文件会标记计算是否收敛。不收敛的记录会被排除，低于 2% 或高于 500% 的读数也会被排除。不收敛意味着数值计算失败，并不代表市场价格。
窗口为该标的在 380 个日历日回溯期内可获得的最近 252 个交易时段。 一个标的至少需要有 200 个已测量交易时段，才会出现在本页的任何位置。
IV rank 的计算方式是：（当前值 − 窗口最低值）÷（窗口最高值 − 窗口最低值）× 100。IV percentile 的计算方式是：窗口内隐含波动率严格低于当前值的交易时段数量，除以窗口交易时段总数。
流动性门槛。 一个标的最近 20 个已测量交易时段的期权累计成交量必须至少达到 20,000 张，才能进入筛选范围。知名标的面板采用交易时段门槛、历史数据门槛和相同的最新交易时段筛选条件，但不采用成交量门槛，因为其中的 12 个 ticker 是预先指定的，并非筛选得出。
杠杆型、反向型和波动率期货基金 会根据明确名单从筛选中排除。目标为实现指数三倍波动的基金，其隐含波动率按产品设计通常也约为三倍，可能挤占真正单一标的的位置。持有 VIX 期货而非股票的产品也在排除名单中，因为其隐含波动率反映的是期货曲线，而非公司本身。
周度路径面板绘制的是中位数，而非单个交易时段。 每个点都是当周排名最高标的每日读数的中位数。因此，按定义，曲线会处于该周每日高低区间之内。测量交易时段少于三个的周会被剔除，但最新交易时段所在的那一周除外；即使该周只有一天，也会绘制。
文件不包含的内容。 当日到期（0DTE）合约和现金结算的指数期权不在该数据集内，因此 0DTE 波动率飙升不会影响这些数字。SPY 和 QQQ 按普通 ETF 处理。该数据仓库也完全没有未平仓合约数（open interest）字段，因此上述所有流动性门槛依据的都是期权成交量，而不是未平仓合约数。
日期标记对应真实交易时段。 Greeks 文件的结算时间比股票行情落后几个交易时段。因此，每个面板都会标明所采用交易时段的日期，且每个面板中的每一行都来自该交易时段。周度路径面板是有意设置的例外：它会在排名最高标的数据后方绘制一年的历史走势。这些不是实时行情。

常见问题

什么是IV rank？

IV rank用于衡量一只股票当前的隐含波动率在其自身52周区间中的位置。区间最低点为0，最高点为100。计算公式为：（当前隐含波动率−52周最低隐含波动率）÷（52周最高隐含波动率−52周最低隐含波动率）。它只将股票与自身历史进行比较，不与其他股票比较。因此，即使两只股票的波动率差异很大，也可能拥有相同的IV rank。

卖出期权时，怎样的IV rank算高？

不存在一个能决定卖出是否正确的IV rank，本页面也不提供这样的数值。IV rank较高，表示期权权利金接近该标的过去一年收取的最高水平；IV rank较低，则表示接近最低水平。期权卖方通常偏好较高的读数，买方则偏好较低的读数。但双方都面临同一风险：股票实际实现的走势可能不同于期权价格所反映的走势。

IV rank与IV percentile有什么区别？

IV rank只使用当天的隐含波动率，以及52周区间的两个极值。IV percentile则统计过去252个交易日中，收盘隐含波动率低于当天读数的交易日数量。单个极端交易日会拉大区间，使IV rank下降，但对IV percentile的影响很小。因此，在同一只股票上，两者可能相差数十个百分点，正如上方面板所示。

在哪里可以免费查询IV rank？

本页面提供免费的IV rank查询工具。它按计划基于完整的美国期权成交数据刷新，并公开每个单元格背后的确切SQL查询。每只股票都有固定页面；波动率偏斜页面介绍了同一到期日内隐含波动率如何随行权价变化。

本页面的每个面板都保存了自己的查询。打开任一面板即可端到端核查测量结果，也可以在Strasmore终端中，针对任意时间窗口和任意股票范围运行相同的IV rank筛选。

#期权 #implied volatility#iv rank#volatility #market data