Tuesday May 6, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 85 Days Ago $NFLX $NU $RBRK $UBER $WMT $BA $CHWY $CME $FFTY $JPM $MSTR $RBLX $UAL $BIDU

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 NFLX 19 1117.74 1137.69
2 NU 19 12.19 12.44
3 RBRK 19 70.80 74.24
4 UBER 19 80.48 85.83
5 WMT 19 96.84 98.55
6 BA 17 181.49 185.96
7 CHWY 17 36.91 38.17
8 CME 17 273.15 282.98
9 FFTY 17 27.11 27.32
10 JPM 17 246.27 249.25
11 MSTR 17 374.37 385.60
12 RBLX 17 68.13 70.77
13 UAL ๐Ÿš€ 17 70.35 73.52
14 BIDU 16 89.48 91.23
15 C 16 68.69 69.47
16 DELL 16 93.33 93.95
17 F 16 10.11 10.44
18 FCX 16 36.99 37.92
19 GS 16 549.13 549.36
20 HPE 16 16.32 16.49
21 NTAP 16 89.45 92.26
22 SOFI 16 12.67 12.73
23 AFRM 15 49.86 51.00
24 BAC 15 40.09 40.84
25 DRN 15 9.45 9.72
26 SYF 15 52.39 53.40
27 UPST ๐Ÿš€ 15 48.56 51.40
28 WFC 15 71.17 73.48
29 BABA 13 121.57 127.66
30 COF 13 183.24 185.71
31 YINN 13 33.34 36.22
32 PDD 12 105.96 111.32
33 ADBE 11 371.47 382.98
34 ARM ๐Ÿš€ 11 115.14 122.44
35 BB 11 3.43 3.61
36 BTDR ๐Ÿš€ 11 10.25 10.92
37 CCL 11 18.90 19.53
38 CORZ 11 8.26 8.99
39 COST 11 992.59 1010.50
40 CVNA 11 244.99 258.81
41 DAL 11 42.67 44.81
42 DIS 11 90.74 92.17
43 EH 11 17.42 19.11
44 FAS 11 138.44 142.23
45 GLW 11 44.47 44.76
46 HON 11 206.89 209.93
47 HOOD 11 48.16 48.69
48 IONQ ๐Ÿš€ 11 28.59 29.42
49 IWM 11 195.66 196.77
50 MU 11 78.19 80.51
51 NET 11 121.05 122.29
52 PTON ๐Ÿš€ 11 6.65 6.99
53 PYPL 11 65.89 68.05
54 RETL 11 5.67 5.81
55 RIOT 11 7.73 7.86
56 SPG 11 158.05 160.17
57 TIGR ๐Ÿš€ 11 8.31 9.31
58 TNA 11 25.79 26.14
59 USB 11 40.49 40.98
60 UTSL 11 34.07 35.76
61 V 11 341.62 347.70
62 VRT 11 88.24 93.48
63 VST 11 132.08 144.80
64 WULF ๐Ÿš€ 11 3.01 3.12
65 APP 10 283.38 304.62
66 ASML 10 673.76 679.99
67 AVGO 10 193.53 200.09
68 CLF ๐Ÿš€ 10 8.28 8.61
69 CRWD 10 426.68 443.21
70 FDX 10 213.02 213.41
71 GGLL 10 30.23 31.02
72 GOOG 10 162.83 165.20
73 GOOGL 10 160.89 163.23
74 LRCX 10 71.65 73.16
75 LUNR ๐Ÿš€ 10 8.61 8.98
76 MDB ๐Ÿš€ 10 171.98 172.22
77 MRVL ๐Ÿš€ 10 59.23 61.22
78 OKLO ๐Ÿš€ 10 25.08 28.66
79 ORCL ๐Ÿš€ 10 142.23 147.70
80 PANW 10 182.92 188.69
81 QQQ 10 475.57 481.41
82 RGTI ๐Ÿš€ 10 9.40 9.78
83 RIVN 10 13.13 13.50
84 RKLB 10 22.14 22.37
85 SNOW ๐Ÿš€ 10 161.26 168.45
86 SOXL ๐Ÿš€ 10 12.20 12.64
87 SPY 10 554.00 558.80
88 TQQQ 10 54.90 56.74
89 TSM 10 168.23 172.28
90 ZI ๐Ÿš€ 10 8.73 8.89
91 AAL 9 10.00 10.43
92 AMD 9 96.60 98.62
93 AMDL ๐Ÿš€ 9 4.14 4.30
94 APLD ๐Ÿš€ 9 4.79 5.21
95 CRM 9 267.55 273.36
96 CSCO 9 57.65 59.22
97 EVGO ๐Ÿš€ 9 2.84 3.67
98 META 9 560.97 587.31
99 MSFT 9 406.42 433.31
100 MSFU 9 34.13 38.53
101 NVDA 9 110.03 113.54
102 NVDL ๐Ÿš€ 9 35.56 37.69
103 OKTA ๐Ÿš€ 9 109.03 117.07
104 QUBT ๐Ÿš€ 9 7.07 7.08
105 ROST 9 139.95 141.61
106 M ๐Ÿš€ 8 11.44 11.50
107 T 7 27.47 28.16
What Is 10 Day Simple Moving Average?

A 10โ€‘day Simple Moving Average (SMA) is the unweighted average of a securityโ€™s closing prices over the most recent ten trading days. To calculate it, you sum those 10 closing prices and divide by ten. As each new trading day closes, the oldest price drops off and the newest closes replaces it, creating a rolling average line - this smoothed curve highlights shortโ€‘term trends while reducing daily noise. Traders use the 10โ€‘day SMA for shortโ€‘term trend analysis and trade timing. When prices stay consistently above the 10โ€‘day SMA, it often signals upward momentum; when below, it suggests a shortโ€‘term downtrend. Common strategies involve watching price crossovers or combining the 10โ€‘day SMA with longer averages - like the 50โ€‘day - for โ€œfaster versus slowerโ€ confirmation. This indicator is also used as dynamic support or resistance: prices often bounce around the SMA line. For traders with holding periods of only a few days to two weeks, the 10โ€‘day SMA delivers relevant insight into recent trend shifts, market noise, and momentum. However, the 10โ€‘day SMA is a lagging indicator - it reflects past prices rather than predicting future moves. During sideways or choppy markets, it may yield false signals. Therefore, many traders pair it with momentum indicators like the RSI or Bollinger Bands and follow disciplined risk management with stopโ€‘loss levels or confirmation rules.