Wednesday March 12, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $AEO $KNX $SYF $TGT $SQ $CRM $AMZN $AMZU $CCL $AAL $DAL $DJT $AI $BTDR

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