Tuesday March 11, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $QUBT $AEO $KNX $SYF $TGT $SQ $CRM $AMZN $AMZU $CCL $AAL $DAL $DJT $AI

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Rank Ticker Consecutive Days Below 10-Day SMA
1 QUBT πŸš€ πŸ“ˆ 31
2 AEO πŸš€ 29
3 KNX 27
4 SYF 27
5 TGT 27
6 SQ 24
7 CRM 23
8 AMZN 22
9 AMZU 22
10 CCL 22
11 AAL 21
12 DAL 21
13 DJT πŸš€ πŸ“ˆ 21
14 AI πŸš€ 20
15 BTDR πŸš€ πŸ“ˆ 20
16 IONQ πŸš€ πŸ“ˆ 20
17 RCAT πŸš€ πŸ“ˆ 20
18 RKLB πŸš€ πŸ“ˆ 20
19 WULF πŸš€ πŸ“ˆ 20
20 TSM 19
21 VRT 19
22 ARM πŸš€ πŸ“ˆ 17
23 RETL 17
24 SERV πŸš€ πŸ“ˆ 17
25 AVGO 16
26 META 16
27 NU 16
28 OKLO πŸš€ πŸ“ˆ 16
29 RIOT πŸ“ˆ 16
30 BBAI πŸš€ πŸ“ˆ 15
31 GLW 15
32 IWM 15
33 NET 15
34 PLTR πŸš€ πŸ“ˆ 15
35 PLTU πŸš€ πŸ“ˆ 15
36 RBRK πŸ“ˆ 15
37 SNAP 15
38 TNA 15
39 AFRM πŸ“ˆ 14
40 BA 14
41 BB πŸš€ πŸ“ˆ 14
42 C 14
43 CRWD 14
44 CVNA πŸ“ˆ 14
45 ET 14
46 FFTY 14
47 GS 14
48 HOOD πŸ“ˆ 14
49 IREN πŸš€ πŸ“ˆ 14
50 JPM 14
51 MRVL πŸš€ 14
52 ORCL πŸš€ 14
53 PTON πŸš€ πŸ“ˆ 14
54 SHOP πŸš€ 14
55 TSLL πŸš€ πŸ“ˆ 14
56 UAL πŸš€ πŸ“ˆ 14
57 VST πŸ“ˆ 14
58 WMT 14
59 AA 13
60 ACHR πŸš€ πŸ“ˆ 13
61 AMD 13
62 AMDL πŸš€ πŸ“ˆ 13
63 APA 13
64 APP πŸ“ˆ 13
65 BP 13
66 CLF πŸš€ 13
67 COF 13
68 DKNG 13
69 EVGO πŸš€ πŸ“ˆ 13
70 GUSH 13
71 HPE 13
72 LUNR πŸš€ πŸ“ˆ 13
73 MDB πŸš€ 13
74 NBIS πŸš€ πŸ“ˆ 13
75 NVDA 13
76 NVDL πŸš€ πŸ“ˆ 13
77 PANW 13
78 PINS 13
79 PYPL 13
80 QQQ 13
81 RIVN 13
82 SOFI πŸ“ˆ 13
83 SPY 13
84 TQQQ 13
85 TSLA πŸ“ˆ 13
86 UPST πŸš€ πŸ“ˆ 13
87 AMC πŸš€ πŸ“ˆ 12
88 CART 12
89 DELL 12
90 GME πŸš€ πŸ“ˆ 12
91 MU 12
92 QS πŸš€ πŸ“ˆ 12
93 SOXL πŸš€ πŸ“ˆ 12
94 APLD πŸš€ πŸ“ˆ 11
95 DVN 11
96 INTC πŸš€ 11
97 OXY 11
98 ROKU 11
99 RUN πŸš€ πŸ“ˆ 11
100 UTSL 11
101 AAPL 10
102 AAPU 10
103 PBR 10
104 BBWI 9
105 NTAP 9
106 CORZ πŸ“ˆ 7
107 ERX 7
108 FDX 7
109 NKE πŸš€ 7
110 U πŸš€ 7
111 ULTA 7
112 USB 7
113 WFC 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.