Data through close

Vanna exposure extremes

Which liquid chains had the largest positive and negative volatility-sensitive delta exposure on Sep 17, 2026?

Modeled net vanna normalized to 100,000 open contracts. The 25 most positive observations appear first, followed by the 25 most negative; values depend on the published exposure convention. Data through close. Descriptive only, not a recommendation.

Vanna exposure extremes as of Sep 17, 2026 close
#TickerCloseOpen interestVanna per 100k OI
1GRAB2.811,957,6586,146
2PYPL52.941,855,9105,361
3XLU41.691,948,8735,229
4TLT81.7813,237,6044,955
5RIVN15.402,392,8484,874
6IEF91.251,410,0394,415
7CRWV79.882,578,8244,393
8VALE14.471,768,5184,370
9F13.611,930,6234,336
10WFC86.891,124,3914,309
11NIO3.622,507,0714,233
12RKT12.571,306,7293,957
13AAL12.942,220,9013,941
14EWZ37.747,891,6033,912
15KRE72.742,084,0673,896
16ORCL150.593,476,4573,783
17AMZN251.194,895,6073,741
18IBIT43.307,964,5733,711
19UBER70.871,427,8253,639
20EEM66.915,665,4963,581
21AVGO347.302,435,2123,559
22WBD28.243,179,3583,558
23GLD398.366,546,4193,531
24IGV105.781,467,2183,489
25PCG13.383,132,5873,472
26CRWD245.701,399,293-803
27TQQQ71.381,720,687172
28NBIS217.991,438,405839
29CIFR16.941,744,250875
30SOXL114.821,616,8421,142
31AAPL337.005,226,1421,153
32INTC108.806,394,9221,227
33MU977.503,454,9761,352
34MRVL240.761,827,1441,641
35AMD545.093,296,6431,702
36GME22.771,822,3161,713
37XOM163.271,134,0801,732
38MSTR132.252,826,3901,736
39SPX7,637.7620,175,2941,754
40HOOD109.811,858,7381,803
41RIG5.661,225,7321,807
42PLTR176.183,633,5271,839
43ETHA18.472,579,1941,915
44GOOG343.721,869,7841,916
45SMH560.612,099,9041,955
46SPXW7,640.325,373,3791,995
47HTZ1.861,342,3952,024
48CCL22.171,159,9732,033
49BMNR23.891,669,9132,068
50XLE64.474,863,0352,073

Screens describe what the data shows after the close. They are not trade recommendations; see the disclaimer and the methodology.