Wednesday March 5, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $QUBT $AEO $KNX $NAIL $SYF $TGT $GGLL $GOOG $GOOGL $SQ $CRM $AMZN $AMZU $CCL

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