Thursday November 13, 2025 Stocks Below 10 SMA For Longest Consecutive Days Ten Days Ago $BLSH $EVGO $ACHR $ARCX $FIG $RGTU $SERV $HIMS $ORCL $QBTX $SOUN $SOUX $SO $MARA

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Rank Ticker Consecutive Days Below 10-Day SMA
1 BLSH 25
2 EVGO πŸš€ πŸ“ˆ 23
3 ACHR πŸš€ πŸ“ˆ 21
4 ARCX πŸ“ˆ 21
5 FIG πŸš€ 21
6 RGTU πŸ“ˆ 21
7 SERV πŸš€ πŸ“ˆ 21
8 HIMS πŸ“ˆ 20
9 ORCL πŸš€ 20
10 QBTX πŸš€ πŸ“ˆ 20
11 SOUN πŸš€ πŸ“ˆ 20
12 SOUX πŸ“ˆ 20
13 SO 19
14 MARA πŸš€ πŸ“ˆ 18
15 NNOX πŸš€ πŸ“ˆ 18
16 OKLL πŸ“ˆ 18
17 AMC πŸš€ πŸ“ˆ 17
18 BX 16
19 LYV 16
20 TPR 16
21 CAVA 15
22 MCHP 15
23 BBWI 14
24 BLDR 14
25 CELH πŸš€ 14
26 MOS 14
27 AI πŸš€ 13
28 BULL πŸš€ πŸ“ˆ 13
29 CCL 13
30 CLSK πŸ“ˆ 13
31 CNM 13
32 GPN 13
33 LUNR πŸš€ πŸ“ˆ 13
34 MSTR πŸ“ˆ 13
35 NCLH 13
36 NXPI 13
37 OWL 13
38 RCL 13
39 TTD 13
40 ABNB 12
41 BA 12
42 BITX πŸ“ˆ 12
43 BMNR πŸ“ˆ 12
44 BTDR πŸš€ πŸ“ˆ 12
45 CRCG πŸš€ 12
46 CRCL πŸš€ πŸ“ˆ 12
47 JHX πŸš€ 12
48 KMX 12
49 SW 12
50 TNA 12
51 UPST πŸš€ πŸ“ˆ 12
52 XYZ 12
53 ARM πŸš€ πŸ“ˆ 11
54 CONL πŸš€ πŸ“ˆ 11
55 DASH 11
56 DJT πŸš€ πŸ“ˆ 11
57 ENTG 11
58 GME πŸš€ πŸ“ˆ 11
59 JD 11
60 META 11
61 OKLO πŸš€ πŸ“ˆ 11
62 PYPL 11
63 RBLX 11
64 RIOT πŸ“ˆ 11
65 RKLB πŸš€ πŸ“ˆ 11
66 SNPS 11
67 BABA 10
68 BBY 10
69 TAL πŸš€ 10
70 APLD πŸš€ πŸ“ˆ 9
71 APLX 9
72 ASTS πŸ“ˆ 9
73 AUR πŸ“ˆ 9
74 CDNS 9
75 COIN πŸ“ˆ 9
76 CRH 9
77 CRWV πŸš€ πŸ“ˆ 9
78 CWVX πŸ“ˆ 9
79 EH 9
80 IONL πŸ“ˆ 9
81 QUBT πŸš€ πŸ“ˆ 9
82 QUBX πŸš€ πŸ“ˆ 9
83 RCAT πŸš€ πŸ“ˆ 9
84 RGTI πŸš€ πŸ“ˆ 9
85 SMCI πŸš€ πŸ“ˆ 9
86 SWKS 9
87 WDAY 9
88 ANET 8
89 ASML 8
90 AVGO 8
91 BB πŸš€ πŸ“ˆ 8
92 CRM 8
93 DELL 8
94 DOCS 8
95 DOCU 8
96 DT 8
97 FFTY 8
98 FIGR πŸš€ 8
99 HPE 8
100 INTC πŸš€ 8
101 NBIS πŸš€ πŸ“ˆ 8
102 NEBX πŸš€ 8
103 NTAP 8
104 OKTA πŸš€ 8
105 PINS 8
106 QBTS πŸš€ πŸ“ˆ 8
107 QQQ 8
108 ROBN πŸš€ πŸ“ˆ 8
109 SHOP πŸš€ 8
110 SMR πŸ“ˆ 8
111 TEAM 8
112 TEM πŸ“ˆ 8
113 TME 8
114 TQQQ 8
115 TSM 8
116 UBER 8
117 VST πŸ“ˆ 8
118 YMM 8
119 CCJ 7
120 CPNG 7
121 HD 7
122 KTOS πŸ“ˆ 7
123 NVDL πŸš€ πŸ“ˆ 7
124 UWMC 7
125 ZBH 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.