Thursday March 6, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $QUBT $AEO $KNX $SYF $TGT $GGLL $GOOG $GOOGL $SQ $CRM $AMZN $AMZU $CCL $RGTI

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