Tuesday September 2, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Thirty-Three Days Ago $BE $B $IREN $APA $FUTU $GM $APTV $DOCS $DVN $LYV $IWM $WULF $BAC $FAS

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 BE πŸš€ πŸ“ˆ 30 49.02 51.35
2 B 21 25.99 26.93
3 IREN πŸš€ πŸ“ˆ 19 22.66 29.11
4 APA 18 22.00 23.84
5 FUTU πŸ“ˆ 18 184.56 186.98
6 GM 18 58.01 58.53
7 APTV 17 78.10 78.39
8 DOCS 17 66.46 67.00
9 DVN 17 35.14 36.42
10 LYV 17 164.96 165.47
11 IWM 16 232.03 233.90
12 WULF πŸš€ πŸ“ˆ 16 9.22 9.63
13 BAC 15 49.59 50.42
14 FAS 15 174.47 175.92
15 PANW 15 186.36 190.52
16 RF 15 26.68 26.89
17 SPG 15 176.93 178.87
18 USB 15 47.86 48.52
19 AGNC 14 9.76 9.76
20 DIS 14 117.61 118.27
21 EXAS 14 46.77 48.01
22 MGM 14 38.19 38.91
23 RCL 14 346.98 354.08
24 ROKU 14 93.78 95.86
25 V 14 348.22 350.07
26 VLO 14 146.64 154.28
27 ZM 14 78.53 81.93
28 CRM 12 249.20 252.86
29 CX 12 8.90 9.16
30 DKNG 12 47.05 47.91
31 NIO πŸš€ πŸ“ˆ 12 6.06 6.58
32 NU 12 14.19 14.86
33 RUN πŸš€ πŸ“ˆ 12 15.90 15.93
34 TCOM 12 67.31 71.59
35 DECK πŸš€ 11 112.75 122.88
36 DOCU 11 73.49 74.07
37 HAL 11 22.03 22.69
38 RIOT πŸ“ˆ 11 13.21 14.09
39 XOM 11 111.48 114.69
40 ZI πŸš€ 11 10.18 10.20
41 ERX 10 54.85 57.64
42 KIM 10 22.09 22.25
43 WYNN 10 118.91 125.47
44 AEM 9 138.53 147.74
45 AGI 9 28.79 31.99
46 CF 9 86.28 87.43
47 CVE 9 16.23 16.97
48 EOG 9 121.62 126.10
49 GUSH 9 23.55 25.51
50 JNUG πŸš€ πŸ“ˆ 9 99.73 116.14
51 JPM 9 296.56 299.70
52 KGC 9 19.96 21.46
53 NEM 9 71.64 75.86
54 OXY 9 46.11 48.05
55 TIGR πŸš€ πŸ“ˆ 9 11.93 12.32
56 WELL 9 166.28 167.74
57 BKR 8 44.40 45.36
58 CNQ 8 30.82 32.00
59 ET 8 17.54 17.70
60 FTI πŸš€ 8 36.16 37.55
61 HPE 8 22.29 22.68
62 IP 8 48.56 49.17
63 PAAS 8 32.64 34.30
64 RIVN πŸ“ˆ 8 13.01 13.87
65 SIRI 8 23.08 23.11
66 SOFI πŸ“ˆ 8 24.68 24.91
67 SU 8 40.17 41.31
68 SW 8 45.33 47.11
69 YMM 8 12.42 13.20
70 AFRM πŸ“ˆ 7 78.44 82.22
71 APP πŸ“ˆ 7 451.24 481.73
72 BB πŸš€ πŸ“ˆ 7 3.76 3.78
73 BIDU 7 91.03 96.29
74 BP 7 34.68 35.23
75 BROS 7 68.96 72.98
76 CCL 7 31.04 31.16
77 COF 7 221.08 223.27
78 CVNA πŸ“ˆ 7 359.71 366.39
79 DAL 7 60.68 61.13
80 DHI 7 167.75 170.26
81 EOSE πŸš€ πŸ“ˆ 7 6.62 7.51
82 F 7 11.69 11.72
83 FANG 7 144.22 149.86
84 FCX 7 43.34 44.94
85 FFTY 7 34.22 34.87
86 FLEX 7 52.24 53.65
87 GFI 7 31.89 34.39
88 GGLL πŸ“ˆ 7 46.69 48.73
89 GLW 7 66.56 68.47
90 GOOG 7 207.32 211.99
91 GOOGL 7 206.57 211.35
92 IOT πŸš€ 7 34.55 35.49
93 LVS 7 55.72 57.01
94 NCLH 7 24.59 24.72
95 NLY 7 20.96 21.05
96 NTAP 7 111.38 115.37
97 OVV 7 40.82 42.75
98 PBR 7 12.17 12.41
99 PBR-A 7 11.27 11.48
100 PHM 7 130.46 132.09
101 PR 7 13.87 14.51
102 PSTG πŸš€ 7 64.09 77.47
103 PTEN 7 5.63 5.74
104 RIG 7 3.00 3.06
105 RKLB πŸ“ˆ 7 45.49 49.31
106 STX πŸ“ˆ 7 163.69 170.50
107 SYF 7 74.12 75.62
108 TECK 7 32.91 33.55
109 TER πŸš€ 7 115.42 120.61
110 TNA 7 40.33 41.12
111 U πŸš€ 7 38.77 39.41
112 UAL πŸš€ πŸ“ˆ 7 102.76 104.68
113 UPST πŸš€ πŸ“ˆ 7 68.17 69.17
114 VALE 7 10.07 10.17
115 WDC πŸ“ˆ 7 78.70 81.91
116 WFC 7 80.28 81.78
117 WPM 7 96.22 101.57
What Is 10 Day Simple Moving Average?

A 10‑day Simple Moving Average (SMA) is the unweighted average of a security’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 short‑term trends while reducing daily noise. Traders use the 10‑day SMA for short‑term trend analysis and trade timing. When prices stay consistently above the 10‑day SMA, it often signals upward momentum; when below, it suggests a short‑term downtrend. Common strategies involve watching price crossovers or combining the 10‑day SMA with longer averages - like the 50‑day - for β€œfaster versus slower” 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 10‑day SMA delivers relevant insight into recent trend shifts, market noise, and momentum. However, the 10‑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 stop‑loss levels or confirmation rules.