Tuesday October 28, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Today $NXT $EXAS $AMD $NOK $FERG $TMF $TLT $BBY $BROS $CLS $DLTR $FLEX $ROST $SNDK

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 NXT 30 91.80 97.00
2 EXAS 24 62.84 63.30
3 AMD 22 242.07 258.01
4 NOK ๐Ÿš€ 21 6.05 7.77
5 FERG 19 243.33 247.19
6 TMF 16 43.34 43.87
7 TLT 13 91.55 92.02
8 BBY 12 81.41 83.86
9 BROS 12 56.84 59.32
10 CLS ๐Ÿš€ ๐Ÿ“ˆ 12 284.30 326.45
11 DLTR 12 98.98 102.70
12 FLEX 12 63.26 64.26
13 ROST 12 157.33 160.70
14 SNDK ๐Ÿ“ˆ 12 157.82 175.53
15 ABNB 11 126.88 128.01
16 BAC 11 51.89 52.87
17 EBAY 11 95.04 99.58
18 GGLL ๐Ÿ“ˆ 11 69.64 75.52
19 GOOG 11 257.09 268.43
20 GOOGL 11 256.42 267.47
21 M ๐Ÿš€ 11 18.49 19.70
22 PLD 11 125.21 125.72
23 TGT 11 93.52 97.11
24 TRU 11 81.52 82.92
25 WFC 11 85.32 86.90
26 ZI ๐Ÿš€ 11 10.18 10.20
27 ZIM ๐Ÿš€ ๐Ÿ“ˆ 11 13.80 14.83
28 ASML 10 1031.94 1052.48
29 ASX 10 12.77 13.36
30 BG 10 96.07 96.37
31 CSCO 10 70.57 72.62
32 ELAN 10 21.56 22.12
33 GM ๐Ÿš€ 10 64.12 69.87
34 LRCX 10 147.07 155.62
35 MU 10 207.21 221.91
36 SBUX 10 85.27 85.43
37 TAL ๐Ÿš€ 10 11.97 12.24
38 VALE 10 11.35 11.62
39 WBD ๐Ÿš€ 10 19.85 20.99
40 WELL 10 176.46 179.70
41 Z 10 75.72 75.72
42 ZTO 10 19.10 19.22
43 BBVA 9 19.61 20.09
44 CRM 9 251.96 254.26
45 DHR 9 215.70 216.90
46 LEN 9 126.42 128.22
47 TEAM 9 160.32 163.96
48 TMO 9 553.84 557.63
49 UPS 9 87.80 96.36
50 VTRS 9 10.27 10.29
51 W ๐Ÿ“ˆ 9 85.15 106.52
52 WDC ๐Ÿ“ˆ 9 124.27 124.92
53 AAPL 8 259.27 269.00
54 AAPU 8 33.30 35.73
55 AGNC 8 10.11 10.19
56 ALLY 8 40.50 40.83
57 AXP 8 349.23 361.03
58 CAH 8 158.85 162.79
59 COF 8 217.14 220.99
60 F 8 12.50 13.13
61 FDX 8 240.88 249.55
62 ISRG ๐Ÿš€ 8 495.91 545.39
63 META 8 732.00 751.44
64 NLY 8 20.96 21.06
65 QQQ 8 612.32 632.92
66 RKT 8 17.26 17.51
67 STLA 8 10.74 11.31
68 SYF 8 73.11 74.72
69 UWMC 8 5.63 5.84
70 XP 8 17.10 17.87
71 AAL 7 12.55 12.71
72 ADBE 7 347.35 359.91
73 AEO ๐Ÿš€ 7 15.88 16.79
74 APTV 7 84.73 86.64
75 BA 7 217.50 223.33
76 BKR 7 46.53 47.86
77 CRWD 7 508.95 546.94
78 DOCU 7 70.14 70.70
79 DT 7 49.43 49.64
80 ET 7 16.80 16.99
81 FI 7 123.81 126.17
82 FTI ๐Ÿš€ 7 37.97 41.14
83 FUTU ๐Ÿ“ˆ 7 169.81 187.74
84 HON 7 209.66 214.41
85 HWM 7 195.60 201.04
86 IBM 7 290.93 312.57
87 JEF 7 54.30 55.50
88 LULU 7 174.98 179.98
89 LUMN ๐Ÿ“ˆ 7 7.78 10.05
90 MDB ๐Ÿš€ 7 326.92 336.46
91 MFG 7 6.43 6.71
92 MMM 7 162.15 166.83
93 MSFT 7 521.14 542.07
94 NU 7 15.44 15.93
95 NUE 7 138.83 151.99
96 PANW 7 213.25 221.38
97 PCAR 7 98.20 99.17
98 PDD 7 131.88 138.03
99 PTEN 7 6.10 6.26
100 QCOM 7 170.33 181.03
101 RETL 7 9.46 9.60
102 RIG 7 3.52 3.75
103 SHOP ๐Ÿš€ 7 165.39 178.96
104 SPY 7 672.19 687.06
105 SRE 7 92.21 92.55
106 SW 7 42.45 43.09
107 TCOM 7 71.35 72.36
108 TIGR ๐Ÿš€ ๐Ÿ“ˆ 7 9.93 10.58
109 TQQQ ๐Ÿ“ˆ 7 108.28 119.09
110 UPST ๐Ÿš€ ๐Ÿ“ˆ 7 50.65 50.70
111 USB 7 47.10 47.27
112 XOM 7 113.69 115.03
113 ZM 7 82.40 84.89
114 ZS 7 312.31 328.98
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.