Tuesday October 14, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Thirty-Two Days Ago $IREN $CDE $CLSK $NBIS $RGTI $APLD $EOSE $LUNR $ASTS $NXT $NEE $SO $UTSL $NEBX

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 IREN πŸš€ πŸ“ˆ 49 58.14 69.56
2 CDE πŸ“ˆ 38 19.74 20.99
3 CLSK πŸ“ˆ 26 18.14 21.98
4 NBIS πŸš€ πŸ“ˆ 26 125.99 128.15
5 RGTI πŸš€ πŸ“ˆ 26 43.62 56.12
6 APLD πŸš€ πŸ“ˆ 25 29.35 35.04
7 EOSE πŸš€ πŸ“ˆ 24 14.22 16.98
8 LUNR πŸš€ πŸ“ˆ 23 12.06 13.85
9 ASTS πŸ“ˆ 21 77.35 94.50
10 NXT 20 80.71 86.95
11 NEE 19 82.23 84.64
12 SO 18 96.35 99.68
13 UTSL 18 48.09 50.86
14 NEBX πŸš€ 17 79.71 81.19
15 CLF πŸš€ 15 13.24 13.96
16 EXAS πŸš€ 14 58.18 60.56
17 AA 13 35.36 35.75
18 CELH πŸš€ 13 60.61 61.86
19 CIEN πŸ“ˆ 13 156.94 164.82
20 DDOG πŸš€ 13 158.00 160.88
21 RIOT πŸ“ˆ 13 20.98 22.19
22 ACHR πŸš€ πŸ“ˆ 12 12.06 13.02
23 AMD 12 203.15 218.09
24 AMDL πŸš€ πŸ“ˆ 12 15.83 17.61
25 APLX 12 100.25 138.69
26 SYM πŸš€ πŸ“ˆ 12 66.50 73.64
27 VRT 12 166.45 175.15
28 WULF πŸš€ πŸ“ˆ 12 12.79 15.46
29 BE πŸš€ πŸ“ˆ 11 92.66 114.06
30 JHX πŸš€ 11 21.06 22.41
31 NOK πŸš€ 11 5.10 5.47
32 ZI πŸš€ 11 10.18 10.20
33 ALB 10 91.35 96.24
34 ARCX πŸ“ˆ 10 22.06 25.03
35 ARM πŸš€ πŸ“ˆ 10 160.31 168.16
36 BBAI πŸš€ πŸ“ˆ 10 7.63 8.91
37 PSTG πŸš€ 10 90.02 92.50
38 QS πŸš€ πŸ“ˆ 10 15.47 16.88
39 BAIG πŸš€ 9 24.87 32.62
40 CMA 9 76.28 79.49
41 FERG 9 233.08 240.42
42 FIGR πŸš€ 9 43.52 44.54
43 KNX 9 42.57 43.66
44 OKLL πŸ“ˆ 9 94.47 138.69
45 OKLO πŸš€ πŸ“ˆ 9 141.00 174.14
46 QBTS πŸš€ πŸ“ˆ 9 34.43 43.06
47 QBTX πŸš€ πŸ“ˆ 9 296.86 437.13
48 RCAT πŸš€ πŸ“ˆ 9 13.70 15.26
49 RGTU πŸ“ˆ 9 294.79 457.29
50 RKLB πŸš€ πŸ“ˆ 9 60.60 68.03
51 SERV πŸš€ πŸ“ˆ 9 14.59 16.45
52 FCX 8 41.04 41.97
53 GILD 8 115.36 118.48
54 CCJ 7 86.85 93.19
55 FIG πŸš€ 7 59.82 60.82
56 NDAQ 7 88.76 89.54
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.