Tuesday November 18, 2025 Stocks Below 10 SMA For Longest Consecutive Days Three 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 28
2 EVGO 🚀 📈 26
3 ACHR 🚀 📈 24
4 ARCX 📈 24
5 FIG 🚀 24
6 RGTU 📈 24
7 SERV 🚀 📈 24
8 HIMS 📈 23
9 ORCL 🚀 23
10 QBTX 🚀 📈 23
11 SOUN 🚀 📈 23
12 SOUX 📈 23
13 SO 22
14 MARA 🚀 📈 21
15 OKLL 📈 21
16 AMC 🚀 📈 20
17 BX 19
18 LYV 19
19 CAVA 18
20 MCHP 18
21 BBWI 17
22 BLDR 17
23 CELH 🚀 17
24 AI 🚀 16
25 BULL 🚀 📈 16
26 CCL 16
27 CLSK 📈 16
28 CNM 16
29 GPN 16
30 LUNR 🚀 📈 16
31 MSTR 📈 16
32 NCLH 16
33 NXPI 16
34 OWL 16
35 RCL 16
36 TTD 16
37 ABNB 15
38 BA 15
39 BITX 📈 15
40 BMNR 📈 15
41 BTDR 🚀 📈 15
42 CRCG 15
43 CRCL 🚀 📈 15
44 KMX 15
45 SW 15
46 TNA 15
47 UPST 🚀 📈 15
48 XYZ 15
49 ARM 🚀 📈 14
50 CONL 🚀 📈 14
51 DJT 🚀 📈 14
52 ENTG 14
53 GME 🚀 📈 14
54 JD 14
55 META 14
56 OKLO 🚀 📈 14
57 PYPL 14
58 RBLX 14
59 RIOT 📈 14
60 RKLB 🚀 📈 14
61 SNPS 14
62 BABA 13
63 BBY 13
64 TAL 🚀 13
65 APLD 🚀 📈 12
66 APLX 12
67 ASTS 📈 12
68 AUR 📈 12
69 CDNS 12
70 COIN 📈 12
71 CRH 12
72 CRWV 🚀 📈 12
73 CWVX 📈 12
74 EH 12
75 IONL 📈 12
76 RCAT 🚀 📈 12
77 RGTI 🚀 📈 12
78 SMCI 🚀 📈 12
79 SWKS 12
80 ANET 11
81 ASML 11
82 AVGO 11
83 BB 🚀 📈 11
84 CRM 11
85 DELL 11
86 DOCS 11
87 DOCU 11
88 DT 11
89 FFTY 11
90 HPE 11
91 INTC 🚀 11
92 NBIS 🚀 📈 11
93 NEBX 🚀 11
94 NTAP 11
95 OKTA 🚀 11
96 PINS 11
97 QBTS 🚀 📈 11
98 QQQ 11
99 ROBN 🚀 📈 11
100 SHOP 🚀 11
101 SMR 📈 11
102 TEAM 11
103 TEM 📈 11
104 TME 11
105 TQQQ 11
106 TSM 11
107 UBER 11
108 VST 📈 11
109 YMM 11
110 CCJ 10
111 CPNG 10
112 HD 10
113 KTOS 📈 10
114 NVDL 🚀 📈 10
115 UWMC 10
116 CORZ 📈 9
117 CRDO 📈 9
118 FLEX 9
119 FRMI 🚀 9
120 FUTU 📈 9
121 GFS 9
122 HOOD 📈 9
123 NRG 9
124 PSTG 🚀 9
125 SE 🚀 9
126 SIRI 9
127 SOXL 🚀 📈 9
128 SYM 📈 9
129 TSLA 📈 9
130 TSLL 🚀 📈 9
131 VRT 9
132 WFC 9
133 WULF 🚀 📈 9
134 IREN 🚀 📈 8
135 LCID 8
136 LUMN 🚀 📈 8
137 NIO 🚀 📈 8
138 IONQ 🚀 📈 7
139 QS 🚀 📈 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 “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.