Wednesday October 8, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Six Days Ago $IREN $AEM $NEM $CDE $GLW $WDC $ROIV $FSLR $IBM $TSM $LRCX $HMY $SOXL $CLSK

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 IREN πŸš€ πŸ“ˆ 45 50.51 60.09
2 AEM 35 167.27 169.57
3 NEM 35 86.09 88.40
4 CDE πŸ“ˆ 34 18.97 21.01
5 GLW 33 82.74 87.07
6 WDC πŸ“ˆ 33 121.04 121.18
7 ROIV 31 15.67 16.03
8 FSLR 26 226.30 231.37
9 IBM 26 286.20 289.46
10 TSM 25 287.23 304.52
11 LRCX 24 138.91 142.54
12 HMY 23 18.23 18.81
13 SOXL πŸš€ πŸ“ˆ 23 37.42 42.78
14 CLSK πŸ“ˆ 22 15.60 18.98
15 NBIS πŸš€ πŸ“ˆ 22 117.22 122.00
16 RGTI πŸš€ πŸ“ˆ 22 35.69 43.23
17 APLD πŸš€ πŸ“ˆ 21 25.03 27.94
18 KTOS πŸ“ˆ 21 94.37 105.67
19 MRVL 21 85.81 92.50
20 EOSE πŸš€ πŸ“ˆ 20 12.28 14.82
21 JOBY πŸ“ˆ 20 17.22 17.37
22 XPEV πŸš€ πŸ“ˆ 20 23.37 24.19
23 LUNR πŸš€ πŸ“ˆ 19 11.05 12.48
24 AAPL 18 256.32 258.06
25 AAPU 18 32.77 33.17
26 INTC πŸš€ 18 35.88 37.43
27 ASTS πŸ“ˆ 17 61.61 81.20
28 EXE 17 107.31 108.68
29 NXT 16 76.32 78.50
30 AES 15 14.02 14.73
31 COO 15 68.77 70.26
32 IBKR 15 68.98 72.05
33 NEE 15 78.85 84.04
34 TER πŸš€ 15 140.40 144.60
35 JNUG πŸš€ πŸ“ˆ 14 164.67 181.98
36 KGC 14 24.83 25.31
37 UTSL 14 45.55 49.53
38 TTD 13 50.50 54.07
39 SRE 12 90.46 93.36
40 ULTA 12 555.17 565.81
41 XEL 12 80.21 81.85
42 CLF πŸš€ 11 12.67 13.90
43 ZI πŸš€ 11 10.18 10.20
44 EXAS 10 55.94 59.32
45 NVDA 10 184.78 189.11
46 NVDL πŸš€ πŸ“ˆ 10 91.82 95.85
47 PAAS 10 38.94 39.79
48 RUN πŸš€ πŸ“ˆ 10 18.44 19.40
49 AA 9 34.05 37.06
50 ACN 9 245.09 252.98
51 AU 9 71.79 77.49
52 CAH 9 155.47 157.77
53 CELH πŸš€ 9 57.88 62.91
54 CIEN 9 148.91 159.66
55 DDOG 9 149.54 164.12
56 EA πŸš€ 9 196.92 200.01
57 GFI 9 41.74 43.39
58 MNST 9 67.03 68.73
59 MSFT 9 518.12 524.85
60 PLD 9 115.49 115.99
61 QQQ 9 602.44 611.44
62 RIOT πŸ“ˆ 9 19.59 21.99
63 SNOW 9 233.08 250.21
64 SPY 9 667.04 673.11
65 TQQQ πŸ“ˆ 9 104.42 108.88
66 ACHR πŸ“ˆ 8 10.80 12.46
67 AMD 8 179.31 235.56
68 AMDL πŸš€ πŸ“ˆ 8 12.69 20.74
69 BTDR πŸš€ πŸ“ˆ 8 18.37 19.95
70 COIN πŸ“ˆ 8 353.81 387.27
71 CONL πŸš€ πŸ“ˆ 8 41.23 48.70
72 CSCO 8 68.44 70.33
73 DASH 8 271.76 281.05
74 DELL 8 143.63 164.53
75 HOOD πŸ“ˆ 8 139.80 150.87
76 MARA πŸ“ˆ 8 18.64 20.20
77 MSFU 8 52.13 53.43
78 MU 8 177.22 196.54
79 NIO πŸš€ πŸ“ˆ 8 7.55 7.85
80 PDD 8 132.93 133.77
81 ROBN πŸš€ πŸ“ˆ 8 103.06 118.44
82 SMCI πŸš€ πŸ“ˆ 8 51.16 58.68
83 SNDK πŸ“ˆ 8 116.48 131.88
84 SYM πŸ“ˆ 8 60.12 68.83
85 TGT 8 88.98 90.38
86 V 8 345.05 351.36
87 VRT πŸ“ˆ 8 154.50 167.38
88 WULF πŸš€ πŸ“ˆ 8 11.62 12.30
89 BE πŸš€ πŸ“ˆ 7 82.63 87.58
90 BITX πŸ“ˆ 7 58.60 63.65
91 DHR 7 201.39 204.96
92 JHX πŸš€ 7 19.89 21.87
93 LYG 7 4.53 4.63
94 NOK πŸš€ 7 4.86 5.17
95 NWG 7 14.32 14.77
96 TMO 7 508.88 536.19
97 TPR 7 113.34 116.81
98 VALE 7 10.96 11.10
99 VTRS 7 9.92 9.97
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.