Thursday November 6, 2025 Stocks Below 10 SMA For Longest Consecutive Days Fifteen Days Ago $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 πŸš€ 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 πŸš€ πŸ“ˆ 13
31 OKLL πŸ“ˆ 13
32 T 13
33 AMC πŸš€ πŸ“ˆ 12
34 NDAQ 12
35 QXO πŸ“ˆ 12
36 SPOT 12
37 TMUS 12
38 BX 11
39 DG 11
40 LYV 11
41 STM 11
42 TPR 11
43 BEKE 10
44 CAVA 10
45 CMG 10
46 DECK πŸš€ 10
47 DKNG 10
48 EOG 10
49 FLUT 10
50 GPC 10
51 KR 10
52 MCHP 10
53 WMT 10
54 ADM 9
55 BBWI 9
56 BLDR 9
57 CART 9
58 CCI 9
59 CELH πŸš€ 9
60 COO 9
61 MO 9
62 MOS 9
63 ADI 8
64 AI πŸš€ 8
65 BAX 8
66 BULL πŸš€ πŸ“ˆ 8
67 CCL 8
68 CLSK πŸ“ˆ 8
69 CNM 8
70 CPB 8
71 DHI 8
72 DRN 8
73 EL 8
74 ENPH 8
75 GPN 8
76 IP 8
77 KIM 8
78 LUNR πŸš€ πŸ“ˆ 8
79 MGM 8
80 MNST 8
81 MSTR πŸ“ˆ 8
82 NAIL πŸš€ 8
83 NCLH 8
84 NEE 8
85 NKE πŸš€ 8
86 NXPI 8
87 OMC 8
88 ON 8
89 ONON 8
90 OWL 8
91 OXY 8
92 PTON πŸš€ πŸ“ˆ 8
93 RCL 8
94 TSCO 8
95 TTD 8
96 UAA 8
97 UL 8
98 UTSL 8
99 ABNB 7
100 ADBE 7
101 AFRM 7
102 ALLY 7
103 BA 7
104 BG 7
105 BITX πŸ“ˆ 7
106 BMNR πŸ“ˆ 7
107 BTDR πŸš€ πŸ“ˆ 7
108 CRCG πŸš€ 7
109 CRCL πŸš€ πŸ“ˆ 7
110 CSGP 7
111 DHR 7
112 FAS 7
113 FI 7
114 IWM 7
115 JEF 7
116 JHX πŸš€ 7
117 KDP 7
118 KHC 7
119 KMX 7
120 LEN 7
121 LULU 7
122 PLD 7
123 RETL 7
124 RKT 7
125 SBUX 7
126 SW 7
127 TLT 7
128 TMF 7
129 TNA 7
130 TRU 7
131 UPST πŸš€ πŸ“ˆ 7
132 USB 7
133 V 7
134 VG πŸ“ˆ 7
135 XYZ 7
136 Z 7
137 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.