Tuesday March 4, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $QUBT $AEO $KNX $MARA $NAIL $SYF $TGT $EOSE $GGLL $GOOG $GOOGL $SQ $CRM $AMZN

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Rank Ticker Consecutive Days Below 10-Day SMA
1 QUBT πŸš€ 26
2 AEO πŸš€ 24
3 KNX 22
4 MARA 22
5 NAIL πŸš€ 22
6 SYF 22
7 TGT 22
8 EOSE πŸš€ 19
9 GGLL 19
10 GOOG 19
11 GOOGL 19
12 SQ 19
13 CRM 18
14 AMZN 17
15 AMZU 17
16 CCL 17
17 RGTI πŸš€ 17
18 AAL 16
19 DAL 16
20 DJT πŸš€ 16
21 AI πŸš€ 15
22 BTDR πŸš€ 15
23 IONQ πŸš€ 15
24 RCAT πŸš€ 15
25 RKLB 15
26 WULF πŸš€ 15
27 RIG 14
28 TSM 14
29 VRT 14
30 RDDT πŸš€ 13
31 ARM πŸš€ 12
32 CLSK 12
33 COIN 12
34 CONL πŸš€ 12
35 NNOX 12
36 RETL 12
37 SERV πŸš€ 12
38 AVGO 11
39 BIDU 11
40 META 11
41 NU 11
42 OKLO πŸš€ 11
43 RIOT 11
44 BBAI πŸš€ 10
45 GLW 10
46 IWM 10
47 MSTR 10
48 NET 10
49 PLTR πŸš€ 10
50 PLTU πŸš€ 10
51 RBRK 10
52 SIRI 10
53 SNAP 10
54 SNOW 10
55 TNA 10
56 AFRM 9
57 BA 9
58 BB 9
59 C 9
60 CRWD 9
61 CVNA 9
62 ET 9
63 FFTY 9
64 GS 9
65 HOOD 9
66 IREN πŸš€ 9
67 JPM 9
68 MRVL πŸš€ 9
69 NFLX 9
70 ORCL πŸš€ 9
71 PTEN 9
72 PTON πŸš€ 9
73 SHOP πŸš€ 9
74 TSLL πŸš€ 9
75 UAL πŸš€ 9
76 VST 9
77 WMT 9
78 AA 8
79 ACHR πŸš€ 8
80 AMD 8
81 AMDL πŸš€ 8
82 APA 8
83 APP 8
84 BITX 8
85 BP 8
86 CLF πŸš€ 8
87 COF 8
88 DKNG 8
89 EVGO πŸš€ 8
90 FCX 8
91 GUSH 8
92 HPE 8
93 JNUG πŸš€ 8
94 LCID πŸš€ 8
95 LUNR πŸš€ 8
96 M πŸš€ 8
97 MDB πŸš€ 8
98 MSFT 8
99 MSFU 8
100 NBIS πŸš€ 8
101 NEM 8
102 NVDA 8
103 NVDL πŸš€ 8
104 PANW 8
105 PINS 8
106 PYPL 8
107 QCOM 8
108 QQQ 8
109 RIVN 8
110 SLB 8
111 SOFI 8
112 SPY 8
113 TQQQ 8
114 TSLA 8
115 UBER 8
116 UPST πŸš€ 8
117 AMC πŸš€ 7
118 CART 7
119 DELL 7
120 EH 7
121 GME πŸš€ 7
122 LRCX 7
123 MU 7
124 PDD 7
125 QS πŸš€ 7
126 SOXL πŸš€ 7
127 TAL πŸš€ 7
128 TIGR πŸš€ 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.