Tuesday November 25, 2025 Stocks Below 10 SMA For Longest Consecutive Days Two Days Ago $ACHR $ARCX $FIG $ORCL $QBTX $SOUX $SO $MARA $OKLL $LYV $MCHP $BBWI $CELH $MSTR

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Rank Ticker Consecutive Days Below 10-Day SMA
1 ACHR πŸš€ πŸ“ˆ 29
2 ARCX πŸ“ˆ 29
3 FIG πŸš€ 29
4 ORCL πŸš€ 28
5 QBTX πŸš€ πŸ“ˆ 28
6 SOUX πŸ“ˆ 28
7 SO 27
8 MARA πŸš€ πŸ“ˆ 26
9 OKLL πŸ“ˆ 26
10 LYV 24
11 MCHP 23
12 BBWI 22
13 CELH πŸš€ 22
14 MSTR πŸ“ˆ 21
15 NXPI 21
16 TTD 21
17 BA 20
18 BITX πŸ“ˆ 20
19 BMNR πŸ“ˆ 20
20 CRCG πŸš€ 20
21 CRCL πŸš€ πŸ“ˆ 20
22 ARM πŸš€ πŸ“ˆ 19
23 CONL πŸš€ πŸ“ˆ 19
24 DJT πŸš€ πŸ“ˆ 19
25 ENTG 19
26 JD 19
27 OKLO πŸš€ πŸ“ˆ 19
28 PYPL 19
29 RBLX 19
30 RKLB πŸš€ πŸ“ˆ 19
31 TAL πŸš€ 18
32 ASTS πŸ“ˆ 17
33 AUR πŸ“ˆ 17
34 CDNS 17
35 COIN πŸ“ˆ 17
36 CRWV πŸš€ πŸ“ˆ 17
37 CWVX πŸ“ˆ 17
38 EH 17
39 IONL πŸ“ˆ 17
40 SMCI πŸš€ πŸ“ˆ 17
41 SWKS 17
42 ANET 16
43 BB πŸš€ πŸ“ˆ 16
44 CRM 16
45 DELL 16
46 DT 16
47 HPE 16
48 OKTA πŸš€ 16
49 PINS 16
50 QBTS πŸš€ πŸ“ˆ 16
51 ROBN πŸš€ πŸ“ˆ 16
52 SMR πŸ“ˆ 16
53 TME 16
54 TQQQ 16
55 UBER 16
56 YMM 16
57 NVDL πŸš€ πŸ“ˆ 15
58 FLEX 14
59 FRMI πŸš€ 14
60 HOOD πŸ“ˆ 14
61 SE πŸš€ 14
62 SOXL πŸš€ πŸ“ˆ 14
63 LCID 13
64 NIO πŸš€ πŸ“ˆ 13
65 QS πŸš€ πŸ“ˆ 12
66 ASX 11
67 BE πŸš€ πŸ“ˆ 11
68 NTNX 11
69 NVDA 11
70 PLTR πŸš€ πŸ“ˆ 11
71 PLTU πŸš€ πŸ“ˆ 11
72 TIGR πŸš€ πŸ“ˆ 11
73 ENPH 10
74 GRAB 10
75 HAL 10
76 LI 10
77 NET 10
78 PANW 10
79 PTEN 10
80 ZS 10
81 AMD 9
82 AMDL πŸš€ πŸ“ˆ 9
83 CRWD 9
84 DIS 9
85 EOSE πŸš€ πŸ“ˆ 9
86 ERIC πŸš€ 9
87 FLUT 9
88 IBKR 9
89 JOBY πŸ“ˆ 9
90 JPM 9
91 KLAR 9
92 MDB πŸš€ 9
93 NOK πŸš€ 9
94 PDD 9
95 QCOM 9
96 RBRK πŸ“ˆ 9
97 ROKU 9
98 RTX 9
99 SEDG πŸš€ πŸ“ˆ 9
100 SNOW πŸš€ 9
101 STM 9
102 TGT 9
103 TOST 9
104 ADBE 8
105 BHP 8
106 COST 8
107 DB 8
108 NWSA 8
109 SCHW 8
110 XP 8
111 YINN πŸ“ˆ 8
112 CCI 7
113 CF 7
114 DD πŸš€ 7
115 DDOG πŸš€ 7
116 FI 7
117 HON 7
118 MOS 7
119 NTR 7
120 PTON πŸš€ πŸ“ˆ 7
121 SJM 7
122 SNAP 7
123 VALE 7
124 XPEV πŸš€ 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.