Thursday November 6, 2025 Stocks Below 10 SMA For Longest Consecutive Days Today $LI $PHM $PSKY $PGR $BLSH $CHWY $EVGO $RBRK $ACHR $ARCX $BAIG $BBAI $FIG $RGTU

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Rank Ticker Consecutive Days Below 10-Day SMA
1 LI 25
2 PHM 23
3 PSKY πŸš€ 23
4 PGR 22
5 BLSH 20
6 CHWY 19
7 EVGO πŸš€ πŸ“ˆ 18
8 RBRK πŸ“ˆ 18
9 ACHR πŸš€ πŸ“ˆ 16
10 ARCX πŸ“ˆ 16
11 BAIG 16
12 BBAI πŸš€ πŸ“ˆ 16
13 FIG πŸš€ 16
14 RGTU πŸ“ˆ 16
15 SERV πŸš€ πŸ“ˆ 16
16 HIMS πŸ“ˆ 15
17 ORCL πŸš€ 15
18 PAAS 15
19 QBTX πŸš€ πŸ“ˆ 15
20 SOUN πŸš€ πŸ“ˆ 15
21 SOUX πŸ“ˆ 15
22 SO 14
23 AGI 13
24 CDE πŸ“ˆ 13
25 GFI 13
26 HMY 13
27 JNUG πŸš€ πŸ“ˆ 13
28 MARA πŸš€ πŸ“ˆ 13
29 MP πŸ“ˆ 13
30 NNOX πŸ“ˆ 13
31 OKLL πŸ“ˆ 13
32 T 13
33 AMC πŸš€ πŸ“ˆ 12
34 NDAQ 12
35 NFLX 12
36 QXO πŸ“ˆ 12
37 SPOT 12
38 TMUS 12
39 BX 11
40 DG 11
41 LYV 11
42 STM 11
43 TPR 11
44 BEKE 10
45 CAVA 10
46 CMG 10
47 DECK πŸš€ 10
48 DKNG 10
49 EOG 10
50 FLUT 10
51 GPC 10
52 KR 10
53 MCHP 10
54 WMT 10
55 ADM 9
56 BBWI 9
57 BLDR 9
58 CART 9
59 CCI 9
60 CELH πŸš€ 9
61 COO 9
62 MO 9
63 MOS 9
64 ADI 8
65 AI πŸš€ 8
66 BAX 8
67 BULL πŸš€ πŸ“ˆ 8
68 CCL 8
69 CLSK πŸ“ˆ 8
70 CNM 8
71 CPB 8
72 DHI 8
73 DRN 8
74 EL 8
75 ENPH 8
76 GPN 8
77 IP 8
78 KIM 8
79 LUNR πŸš€ πŸ“ˆ 8
80 MGM 8
81 MNST 8
82 MSTR πŸš€ πŸ“ˆ 8
83 NAIL πŸš€ 8
84 NCLH 8
85 NEE 8
86 NKE πŸš€ 8
87 NXPI 8
88 OMC 8
89 ON 8
90 ONON 8
91 OWL 8
92 OXY 8
93 PTON πŸš€ πŸ“ˆ 8
94 RCL 8
95 TSCO 8
96 TTD 8
97 UAA 8
98 UL 8
99 UTSL 8
100 ABNB 7
101 ADBE 7
102 AFRM πŸ“ˆ 7
103 ALLY 7
104 BA 7
105 BG 7
106 BITX πŸ“ˆ 7
107 BMNR πŸ“ˆ 7
108 BTDR πŸš€ πŸ“ˆ 7
109 CRCG 7
110 CRCL πŸš€ πŸ“ˆ 7
111 CSGP 7
112 DHR 7
113 FAS 7
114 FI 7
115 IWM 7
116 JEF 7
117 JHX πŸš€ 7
118 KDP 7
119 KHC 7
120 KMX 7
121 LEN 7
122 LULU 7
123 PLD 7
124 RETL 7
125 RKT 7
126 SBUX 7
127 SW 7
128 TLT 7
129 TMF 7
130 TNA 7
131 TRU 7
132 UPST πŸš€ πŸ“ˆ 7
133 USB 7
134 V 7
135 VG πŸ“ˆ 7
136 XYZ 7
137 Z 7
138 ZTO 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.