Friday August 15, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 57 Days Ago $ANET $DB $GLW $W $NEM $BE $BBVA $LVS $BTI $MO $APP $RDDT $TER $EBAY

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 ANET 38 134.64 137.30
2 DB 23 35.61 36.56
3 GLW 23 64.88 65.44
4 W πŸ“ˆ 22 75.24 78.73
5 NEM 20 68.28 69.33
6 BE πŸš€ πŸ“ˆ 19 39.95 45.28
7 BBVA 18 18.28 19.24
8 LVS 17 53.20 53.66
9 BTI 14 56.97 57.15
10 MO 14 64.39 65.82
11 APP πŸ“ˆ 13 430.78 438.68
12 RDDT πŸš€ πŸ“ˆ 13 221.04 246.50
13 TER πŸš€ 13 108.30 109.42
14 EBAY 12 95.51 100.70
15 EIX 12 55.31 55.50
16 KGC 12 18.76 19.33
17 MAS 12 70.92 73.52
18 META 12 774.63 785.23
19 MP πŸ“ˆ 12 72.14 75.03
20 NBIS πŸš€ πŸ“ˆ 12 65.48 71.62
21 TAL πŸš€ 12 11.31 11.44
22 DHI 11 158.08 165.62
23 EA πŸš€ 11 170.03 174.67
24 LEN 11 123.69 131.95
25 LYG 11 4.44 4.52
26 NAIL πŸš€ πŸ“ˆ 11 73.28 81.07
27 PHM 11 123.37 128.69
28 RKT 11 17.96 18.53
29 ZI πŸš€ 11 10.18 10.20
30 AEO πŸš€ 10 12.74 12.99
31 AFRM πŸ“ˆ 10 76.15 78.72
32 B 10 23.19 24.10
33 BP 10 33.96 34.33
34 CRH 10 106.57 110.84
35 FFTY 10 34.35 34.54
36 GGLL πŸ“ˆ 10 43.86 45.66
37 GOOG 10 200.49 204.91
38 GOOGL 10 199.69 203.90
39 HOOD πŸ“ˆ 10 110.46 114.17
40 JNUG πŸš€ πŸ“ˆ 10 87.75 92.77
41 KTOS πŸ“ˆ 10 64.17 68.50
42 NWG 10 14.44 14.83
43 PTON πŸš€ πŸ“ˆ 10 7.82 8.52
44 RGTI πŸš€ πŸ“ˆ 10 16.34 16.65
45 ROST 10 145.98 146.94
46 TME 10 23.36 25.55
47 TSCO 10 59.75 60.49
48 AAL 9 12.17 13.17
49 ADM 9 58.01 59.75
50 BBY 9 69.21 71.63
51 GPC 9 134.61 137.80
52 JHX πŸš€ 9 28.20 29.01
53 LMND πŸš€ πŸ“ˆ 9 51.48 57.37
54 PAAS 9 30.84 31.74
55 UBER 9 90.64 92.60
56 AAPL 8 222.34 231.59
57 AAPU 8 25.42 27.45
58 AEG 8 7.33 7.50
59 AFL 8 102.97 105.38
60 AVGO 8 304.44 306.34
61 BCS 8 19.97 20.27
62 BULL πŸš€ πŸ“ˆ 8 15.18 16.00
63 CG 8 62.86 63.86
64 DAL 8 55.73 60.24
65 EC 8 8.60 8.91
66 F 8 11.25 11.44
67 FAST 8 47.61 48.88
68 IREN πŸš€ πŸ“ˆ 8 18.06 19.69
69 KDP 8 34.20 34.78
70 MFG 8 6.26 6.68
71 NFLX 8 1200.69 1238.95
72 QQQ 8 572.60 577.34
73 RETL 8 8.90 9.42
74 SONY 8 26.63 28.74
75 SPOT 8 686.99 732.81
76 SPY 8 637.32 643.44
77 TQQQ πŸ“ˆ 8 91.26 93.26
78 TSLA πŸ“ˆ 8 327.52 330.56
79 TSLL πŸš€ πŸ“ˆ 8 12.00 12.19
80 AMX 7 18.74 19.09
81 APA 7 19.63 20.48
82 ASML 7 723.14 742.16
83 AUR πŸ“ˆ 7 6.25 6.39
84 BA 7 228.91 235.26
85 BHP 7 52.93 54.15
86 CELH πŸš€ 7 51.15 57.30
87 DELL 7 135.66 138.28
88 FUTU πŸ“ˆ 7 162.88 174.25
89 GM πŸš€ 7 54.08 56.31
90 MNST 7 62.51 64.64
91 MU 7 117.83 120.87
92 MUFG 7 14.67 15.90
93 NEE 7 72.15 75.41
94 SOFI πŸ“ˆ 7 22.59 23.77
95 STLA 7 9.34 9.79
96 T 7 28.17 28.87
97 TEM πŸ“ˆ 7 63.26 73.78
98 TIGR πŸš€ πŸ“ˆ 7 10.14 10.85
99 TMUS 7 246.40 254.63
100 U πŸš€ 7 35.15 38.01
101 VTRS 7 9.74 10.61
102 VZ 7 43.20 44.24
103 ZBH 7 98.32 102.75
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.