Tuesday November 4, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Yesterday $NXT $NOK $CLS $ROST $SNDK $BAC $GGLL $GOOG $GOOGL $M $WFC $ASX $CSCO $DD

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 NXT 35 97.61 99.81
2 NOK ๐Ÿš€ 26 6.75 6.81
3 CLS ๐Ÿš€ ๐Ÿ“ˆ 17 318.57 335.79
4 ROST 17 158.96 162.23
5 SNDK ๐Ÿ“ˆ 17 185.33 194.57
6 BAC 16 52.75 53.54
7 GGLL ๐Ÿ“ˆ 16 77.04 80.96
8 GOOG 16 270.62 278.06
9 GOOGL 16 269.99 277.54
10 M ๐Ÿš€ 16 19.29 19.40
11 WFC 16 86.21 87.13
12 ASX 15 14.19 15.37
13 CSCO 15 71.97 72.32
14 DD ๐Ÿš€ 15 34.47 37.76
15 ELAN 15 22.25 22.50
16 GH ๐Ÿš€ ๐Ÿ“ˆ 15 80.47 98.14
17 LRCX 15 154.91 155.78
18 VALE 15 11.74 11.94
19 WBD ๐Ÿš€ 15 21.53 22.60
20 WELL 15 179.78 184.35
21 UPS 14 92.31 93.25
22 W ๐Ÿ“ˆ 14 95.30 99.43
23 WDC 14 136.71 152.18
24 AAPL 13 266.92 270.04
25 AAPU 13 35.18 35.96
26 AXP 13 358.71 360.49
27 CAH 13 173.78 195.34
28 FDX 13 247.29 251.88
29 XP 13 17.78 18.10
30 CRWD 12 533.91 533.92
31 CTRA 12 23.83 25.85
32 FTI ๐Ÿš€ 12 40.77 41.86
33 HWM 12 201.57 205.02
34 LUMN ๐Ÿš€ ๐Ÿ“ˆ 12 9.63 10.54
35 MDB ๐Ÿš€ 12 343.81 355.84
36 MFG 12 6.60 6.66
37 RIG 12 3.83 3.90
38 ZS 12 324.37 328.30
39 FOXA 11 61.83 64.53
40 LVS 11 58.28 61.28
41 ROKU 11 100.79 106.10
42 TWLO 11 118.62 129.97
43 ZI ๐Ÿš€ 11 10.18 10.20
44 BP 10 34.82 35.12
45 AMZN 9 232.02 249.32
46 AMZU 9 38.23 43.63
47 CIEN ๐Ÿ“ˆ 9 182.23 182.87
48 CRDO ๐Ÿ“ˆ 9 163.15 164.23
49 EC 9 9.21 9.26
50 LMND ๐Ÿš€ ๐Ÿ“ˆ 9 56.85 58.66
51 NET 9 227.90 232.91
52 NIO ๐Ÿš€ ๐Ÿ“ˆ 9 7.07 7.16
53 NVT 9 105.48 109.62
54 SNOW ๐Ÿš€ 9 264.39 265.42
55 STX ๐Ÿ“ˆ 9 243.47 250.38
56 TER ๐Ÿš€ 9 161.13 175.65
57 XPEV ๐Ÿš€ ๐Ÿ“ˆ 9 22.66 22.69
58 YPF 9 32.51 36.23
59 C 8 99.73 101.01
60 CORZ ๐Ÿ“ˆ 8 20.29 21.74
61 GS 8 780.03 790.83
62 IBKR 8 69.07 70.69
63 JPM 8 304.33 309.25
64 NVDA 8 195.92 198.69
65 NVDL ๐Ÿš€ ๐Ÿ“ˆ 8 101.59 103.76
66 CPNG 7 31.72 32.13
67 ING 7 24.52 25.19
68 MRVL ๐Ÿš€ 7 87.55 87.59
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.