Wednesday November 12, 2025 Stocks Below 10 SMA For Longest Consecutive Days Eleven 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 24
2 EVGO πŸš€ πŸ“ˆ 22
3 ACHR πŸš€ πŸ“ˆ 20
4 ARCX πŸ“ˆ 20
5 FIG πŸš€ 20
6 RGTU πŸ“ˆ 20
7 SERV πŸš€ πŸ“ˆ 20
8 HIMS πŸ“ˆ 19
9 ORCL πŸš€ 19
10 QBTX πŸš€ πŸ“ˆ 19
11 SOUN πŸš€ πŸ“ˆ 19
12 SOUX πŸ“ˆ 19
13 SO 18
14 MARA πŸš€ πŸ“ˆ 17
15 NNOX πŸš€ πŸ“ˆ 17
16 OKLL πŸ“ˆ 17
17 AMC πŸš€ πŸ“ˆ 16
18 BX 15
19 LYV 15
20 TPR 15
21 CAVA 14
22 MCHP 14
23 ADM 13
24 BBWI 13
25 BLDR 13
26 CELH πŸš€ 13
27 MOS 13
28 AI πŸš€ 12
29 BULL πŸš€ πŸ“ˆ 12
30 CCL 12
31 CLSK πŸ“ˆ 12
32 CNM 12
33 GPN 12
34 LUNR πŸš€ πŸ“ˆ 12
35 MSTR πŸ“ˆ 12
36 NCLH 12
37 NXPI 12
38 OWL 12
39 RCL 12
40 TTD 12
41 ABNB 11
42 BA 11
43 BITX πŸ“ˆ 11
44 BMNR πŸ“ˆ 11
45 BTDR πŸš€ πŸ“ˆ 11
46 CRCG πŸš€ 11
47 CRCL πŸš€ πŸ“ˆ 11
48 JHX πŸš€ 11
49 KMX 11
50 SW 11
51 TNA 11
52 UPST πŸš€ πŸ“ˆ 11
53 XYZ 11
54 ADBE 10
55 ARM πŸš€ πŸ“ˆ 10
56 CONL πŸš€ πŸ“ˆ 10
57 DASH 10
58 DJT πŸš€ πŸ“ˆ 10
59 ENTG 10
60 FI 10
61 GME πŸš€ πŸ“ˆ 10
62 JD 10
63 LYB πŸš€ 10
64 META 10
65 OKLO πŸš€ πŸ“ˆ 10
66 PYPL 10
67 RBLX 10
68 RIOT πŸ“ˆ 10
69 RKLB πŸš€ πŸ“ˆ 10
70 SNPS 10
71 BABA 9
72 BBY 9
73 TAL πŸš€ 9
74 APLD πŸš€ πŸ“ˆ 8
75 APLX 8
76 ASTS πŸ“ˆ 8
77 AUR πŸ“ˆ 8
78 CDNS 8
79 COIN πŸ“ˆ 8
80 CRH 8
81 CRWV πŸš€ πŸ“ˆ 8
82 CWVX πŸ“ˆ 8
83 EH 8
84 IONL πŸ“ˆ 8
85 QUBT πŸš€ πŸ“ˆ 8
86 QUBX πŸš€ πŸ“ˆ 8
87 RCAT πŸš€ πŸ“ˆ 8
88 RGTI πŸš€ πŸ“ˆ 8
89 SMCI πŸš€ πŸ“ˆ 8
90 SWKS 8
91 WDAY 8
92 ANET 7
93 ASML 7
94 AVGO 7
95 BB πŸš€ πŸ“ˆ 7
96 CRM 7
97 DELL 7
98 DOCS 7
99 DOCU 7
100 DT 7
101 FFTY 7
102 FIGR πŸš€ 7
103 HPE 7
104 INTC πŸš€ 7
105 NBIS πŸš€ πŸ“ˆ 7
106 NEBX πŸš€ 7
107 NTAP 7
108 OKTA πŸš€ 7
109 PINS 7
110 QBTS πŸš€ πŸ“ˆ 7
111 QQQ 7
112 ROBN πŸš€ πŸ“ˆ 7
113 SHOP πŸš€ 7
114 SMR πŸ“ˆ 7
115 TEAM 7
116 TEM πŸ“ˆ 7
117 TME 7
118 TQQQ 7
119 TSM 7
120 UBER 7
121 VST πŸ“ˆ 7
122 YMM 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.