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