Tuesday November 11, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twelve Days Ago $BLSH $EVGO $ACHR $ARCX $BAIG $BBAI $FIG $RGTU $SERV $HIMS $ORCL $QBTX $SOUN $SOUX

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Rank Ticker Consecutive Days Below 10-Day SMA
1 BLSH 23
2 EVGO πŸš€ πŸ“ˆ 21
3 ACHR πŸš€ πŸ“ˆ 19
4 ARCX πŸ“ˆ 19
5 BAIG πŸš€ 19
6 BBAI πŸš€ πŸ“ˆ 19
7 FIG πŸš€ 19
8 RGTU πŸ“ˆ 19
9 SERV πŸš€ πŸ“ˆ 19
10 HIMS πŸ“ˆ 18
11 ORCL πŸš€ 18
12 QBTX πŸš€ πŸ“ˆ 18
13 SOUN πŸš€ πŸ“ˆ 18
14 SOUX πŸ“ˆ 18
15 SO 17
16 CDE πŸ“ˆ 16
17 MARA πŸš€ πŸ“ˆ 16
18 NNOX πŸš€ πŸ“ˆ 16
19 OKLL πŸ“ˆ 16
20 AMC πŸš€ πŸ“ˆ 15
21 BX 14
22 LYV 14
23 STM 14
24 TPR 14
25 BEKE 13
26 CAVA 13
27 CMG 13
28 MCHP 13
29 ADM 12
30 BBWI 12
31 BLDR 12
32 CELH πŸš€ 12
33 MOS 12
34 AI πŸš€ 11
35 BAX 11
36 BULL πŸš€ πŸ“ˆ 11
37 CCL 11
38 CLSK πŸ“ˆ 11
39 CNM 11
40 EL 11
41 GPN 11
42 LUNR πŸš€ πŸ“ˆ 11
43 MSTR πŸ“ˆ 11
44 NCLH 11
45 NXPI 11
46 OMC 11
47 ON 11
48 ONON 11
49 OWL 11
50 RCL 11
51 TTD 11
52 ABNB 10
53 ADBE 10
54 BA 10
55 BITX πŸ“ˆ 10
56 BMNR πŸ“ˆ 10
57 BTDR πŸš€ πŸ“ˆ 10
58 CRCG πŸš€ 10
59 CRCL πŸš€ πŸ“ˆ 10
60 CSGP 10
61 JHX πŸš€ 10
62 KMX 10
63 SW 10
64 TNA 10
65 UPST πŸš€ πŸ“ˆ 10
66 V 10
67 XYZ 10
68 ARM πŸš€ πŸ“ˆ 9
69 CLF πŸš€ 9
70 CONL πŸš€ πŸ“ˆ 9
71 DASH 9
72 DJT πŸš€ πŸ“ˆ 9
73 ENTG 9
74 FI 9
75 GME πŸš€ πŸ“ˆ 9
76 JD 9
77 LYB πŸš€ 9
78 META 9
79 MSFU 9
80 OKLO πŸš€ πŸ“ˆ 9
81 PYPL 9
82 RBLX 9
83 RIOT πŸ“ˆ 9
84 RKLB πŸš€ πŸ“ˆ 9
85 SNPS 9
86 TGT 9
87 AS 8
88 BABA 8
89 BBY 8
90 MSFT 8
91 TAL πŸš€ 8
92 ACN 7
93 APLD πŸš€ πŸ“ˆ 7
94 APLX 7
95 ASTS πŸ“ˆ 7
96 AUR πŸ“ˆ 7
97 BHP 7
98 CDNS 7
99 COIN πŸ“ˆ 7
100 CRH 7
101 CRWV πŸš€ πŸ“ˆ 7
102 CWVX πŸ“ˆ 7
103 EH 7
104 IONL πŸ“ˆ 7
105 QUBT πŸš€ πŸ“ˆ 7
106 QUBX πŸš€ πŸ“ˆ 7
107 RCAT πŸš€ πŸ“ˆ 7
108 RGTI πŸš€ πŸ“ˆ 7
109 SMCI πŸš€ πŸ“ˆ 7
110 SWKS 7
111 WDAY 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.