Thursday September 11, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Yesterday $BE $B $IREN $APTV $DOCS $IWM $PANW $AGNC $EXAS $VLO $ZM $NU $TCOM $DOCU

Check scan results for prior days 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 - + Export Tickers
← Previous: Stocks above 50 SMA for longest consecutive days Stocks above 10 SMA for longest consecutive days Next: Stocks below 10 SMA for longest consecutive days →
Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 BE 37 56.22 67.29
2 B 28 27.96 29.40
3 IREN đźš€ 26 28.20 32.85
4 APTV 24 80.85 83.72
5 DOCS 24 68.68 70.26
6 IWM 23 236.56 240.80
7 PANW 22 194.10 198.33
8 AGNC 21 10.10 10.23
9 EXAS 21 51.69 56.00
10 VLO 21 156.03 157.59
11 ZM 21 83.34 84.75
12 NU 19 15.07 15.62
13 TCOM 19 73.01 74.83
14 DOCU 18 77.88 80.24
15 AEM 16 149.35 153.73
16 AGI 16 31.92 32.90
17 JNUG đźš€ 16 119.52 136.11
18 KGC 16 21.91 23.26
19 NEM 16 75.94 79.65
20 WELL 16 168.11 168.47
21 BKR 15 45.82 46.97
22 FTI đźš€ 15 38.83 40.30
23 HPE 15 23.46 24.86
24 LITE 15 145.73 164.88
25 PAAS 15 34.76 36.82
26 RIVN 15 13.92 13.97
27 SIRI 15 23.76 23.81
28 SNDK 15 63.77 84.30
29 YMM 15 13.23 13.79
30 APP 14 516.53 571.31
31 BIDU 14 101.57 111.82
32 DHI 14 175.84 181.01
33 FFTY 14 35.43 36.92
34 FLEX 14 55.44 57.73
35 GFI 14 34.91 38.02
36 GGLL 14 56.86 62.51
37 GLW 14 70.96 75.47
38 GOOG 14 229.13 240.78
39 GOOGL 14 228.71 240.37
40 IOT đźš€ 14 37.91 38.69
41 NLY 14 21.73 22.15
42 NTAP 14 119.23 125.09
43 PHM 14 135.93 138.66
44 PSTG đźš€ 14 79.38 82.46
45 SATS đźš€ 14 70.35 77.04
46 STX 14 182.94 196.81
47 TNA 14 42.49 44.63
48 U đźš€ 14 41.96 43.40
49 UAL đźš€ 14 106.39 109.36
50 VALE 14 10.35 10.63
51 WDC 14 89.18 96.15
52 WPM 14 103.21 107.37
53 CRDO 13 139.86 159.32
54 RBLX 13 129.69 132.96
55 AR 12 32.34 32.84
56 ASX 12 10.64 11.11
57 AU 12 60.13 65.55
58 CIEN 12 111.74 132.50
59 CLS đźš€ 12 227.08 245.74
60 NET 12 214.44 224.64
61 TPR 12 104.38 106.87
62 AEO đźš€ 11 16.60 19.61
63 MDB đźš€ 11 323.30 332.10
64 XP 11 18.35 18.91
65 ZI đźš€ 11 10.18 10.20
66 ANET 10 141.57 153.04
67 MU 10 129.11 150.57
68 BABA 9 138.37 155.44
69 BBY 9 75.85 78.46
70 LCID đźš€ 9 16.81 19.90
71 SOUN đźš€ 9 13.80 14.58
72 TEM 9 79.01 88.78
73 AVGO 8 325.92 359.63
74 BEKE 8 18.87 20.16
75 IONS 8 57.73 64.04
76 M đźš€ 8 15.97 17.46
77 QXO 8 21.17 21.26
78 W 8 83.02 90.17
79 WMT 8 99.95 102.65
80 APH 7 112.98 119.47
81 CART 7 44.88 45.93
82 CPB 7 33.03 33.76
83 DASH 7 250.59 260.19
84 FSLR 7 200.99 203.31
85 HD 7 413.08 423.42
86 HIMS 7 46.59 51.76
87 HWM 7 178.21 184.21
88 LEN 7 136.95 140.09
89 NOK đźš€ 7 4.47 4.62
90 NRG 7 150.10 157.92
91 PDD 7 123.86 125.72
92 RDDT đźš€ 7 235.57 260.54
93 RETL 7 10.21 10.85
94 SPY 7 648.33 657.63
95 TMF 7 39.18 42.16
96 UWMC 7 6.13 6.91
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 “faster 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.