Friday November 7, 2025 Stocks Below 10 SMA For Longest Consecutive Days Fourteen Days Ago $LI $PSKY $BLSH $EVGO $RBRK $ACHR $ARCX $BAIG $BBAI $FIG $RGTU $SERV $HIMS $ORCL

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Rank Ticker Consecutive Days Below 10-Day SMA
1 LI 26
2 PSKY πŸš€ 24
3 BLSH 21
4 EVGO πŸš€ πŸ“ˆ 19
5 RBRK πŸ“ˆ 19
6 ACHR πŸš€ πŸ“ˆ 17
7 ARCX πŸ“ˆ 17
8 BAIG πŸš€ 17
9 BBAI πŸš€ πŸ“ˆ 17
10 FIG πŸš€ 17
11 RGTU πŸ“ˆ 17
12 SERV πŸš€ πŸ“ˆ 17
13 HIMS πŸ“ˆ 16
14 ORCL πŸš€ 16
15 QBTX πŸš€ πŸ“ˆ 16
16 SOUN πŸš€ πŸ“ˆ 16
17 SOUX πŸ“ˆ 16
18 SO 15
19 CDE πŸ“ˆ 14
20 MARA πŸš€ πŸ“ˆ 14
21 MP πŸ“ˆ 14
22 NNOX πŸš€ πŸ“ˆ 14
23 OKLL πŸ“ˆ 14
24 T 14
25 AMC πŸš€ πŸ“ˆ 13
26 QXO πŸ“ˆ 13
27 SPOT 13
28 TMUS 13
29 BX 12
30 DG 12
31 LYV 12
32 STM 12
33 TPR 12
34 BEKE 11
35 CAVA 11
36 CMG 11
37 DECK πŸš€ 11
38 EOG 11
39 FLUT 11
40 GPC 11
41 KR 11
42 MCHP 11
43 ADM 10
44 BBWI 10
45 BLDR 10
46 CART 10
47 CCI 10
48 CELH πŸš€ 10
49 COO 10
50 MO 10
51 MOS 10
52 ADI 9
53 AI πŸš€ 9
54 BAX 9
55 BULL πŸš€ πŸ“ˆ 9
56 CCL 9
57 CLSK πŸ“ˆ 9
58 CNM 9
59 DHI 9
60 EL 9
61 ENPH 9
62 GPN 9
63 IP 9
64 KIM 9
65 LUNR πŸš€ πŸ“ˆ 9
66 MSTR πŸ“ˆ 9
67 NAIL πŸš€ 9
68 NCLH 9
69 NKE πŸš€ 9
70 NXPI 9
71 OMC 9
72 ON 9
73 ONON 9
74 OWL 9
75 RCL 9
76 TTD 9
77 UTSL 9
78 ABNB 8
79 ADBE 8
80 ALLY 8
81 BA 8
82 BG 8
83 BITX πŸ“ˆ 8
84 BMNR πŸ“ˆ 8
85 BTDR πŸš€ πŸ“ˆ 8
86 CRCG πŸš€ 8
87 CRCL πŸš€ πŸ“ˆ 8
88 CSGP 8
89 DHR 8
90 FI 8
91 IWM 8
92 JHX πŸš€ 8
93 KDP 8
94 KHC 8
95 KMX 8
96 LEN 8
97 LULU 8
98 RETL 8
99 RKT 8
100 SW 8
101 TLT 8
102 TMF 8
103 TNA 8
104 TRU 8
105 UPST πŸš€ πŸ“ˆ 8
106 V 8
107 VG πŸ“ˆ 8
108 XYZ 8
109 Z 8
110 ZTO 8
111 AA 7
112 ARM πŸš€ πŸ“ˆ 7
113 BROS 7
114 CLF πŸš€ 7
115 CONL πŸš€ πŸ“ˆ 7
116 CVNA πŸ“ˆ 7
117 DASH 7
118 DJT πŸš€ πŸ“ˆ 7
119 EBAY 7
120 ENTG 7
121 GME πŸš€ πŸ“ˆ 7
122 HON 7
123 JD 7
124 LYB πŸš€ 7
125 META 7
126 MSFU 7
127 OKLO πŸš€ πŸ“ˆ 7
128 PYPL 7
129 RBLX 7
130 RIOT πŸ“ˆ 7
131 RKLB πŸš€ πŸ“ˆ 7
132 SNPS 7
133 STLA 7
134 TCOM 7
135 TGT 7
136 YINN πŸ“ˆ 7
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.