Monday April 7, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $NKE $CLF $AVGO $BABA $EH $NIO $YINN $AGNC $JD $MU $AA $XP $BB $EOSE

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Rank Ticker Consecutive Days Below 10-Day SMA
1 NKE πŸš€ 26
2 CLF πŸš€ 15
3 AVGO 13
4 BABA 13
5 EH πŸ“ˆ 13
6 NIO πŸš€ πŸ“ˆ 13
7 YINN πŸ“ˆ 13
8 AGNC 12
9 JD 12
10 MU 12
11 AA 11
12 XP 11
13 BB πŸš€ πŸ“ˆ 10
14 EOSE πŸš€ πŸ“ˆ 10
15 NBIS πŸš€ πŸ“ˆ 10
16 NLY 10
17 NU 10
18 QBTS πŸš€ πŸ“ˆ 10
19 SMCI πŸš€ πŸ“ˆ 10
20 ACHR πŸ“ˆ 9
21 AFRM πŸ“ˆ 9
22 APLD πŸš€ πŸ“ˆ 9
23 ARM πŸš€ πŸ“ˆ 9
24 ASML 9
25 BTDR πŸš€ πŸ“ˆ 9
26 DELL 9
27 DKNG 9
28 GGLL πŸ“ˆ 9
29 GLW 9
30 INTC πŸš€ 9
31 IREN πŸš€ πŸ“ˆ 9
32 LRCX 9
33 M πŸš€ 9
34 MRVL 9
35 MSFU 9
36 NNOX πŸ“ˆ 9
37 NTAP 9
38 NVDA 9
39 NVDL πŸš€ πŸ“ˆ 9
40 OKLO πŸš€ πŸ“ˆ 9
41 ORCL πŸš€ 9
42 PDD 9
43 RBRK πŸ“ˆ 9
44 RGTI πŸš€ πŸ“ˆ 9
45 SERV πŸš€ πŸ“ˆ 9
46 SOUN πŸš€ πŸ“ˆ 9
47 SOXL πŸš€ πŸ“ˆ 9
48 TSM 9
49 VRT πŸ“ˆ 9
50 WULF πŸš€ πŸ“ˆ 9
51 AAL 8
52 AI πŸš€ 8
53 AMC πŸš€ πŸ“ˆ 8
54 AMD 8
55 AMDL πŸš€ πŸ“ˆ 8
56 APP πŸ“ˆ 8
57 CCL 8
58 COIN πŸ“ˆ 8
59 CONL πŸš€ πŸ“ˆ 8
60 CRM 8
61 DAL 8
62 DJT πŸš€ πŸ“ˆ 8
63 FCX 8
64 GM 8
65 GOOG 8
66 GOOGL 8
67 IWM 8
68 MDB πŸš€ 8
69 MMM 8
70 OKTA πŸš€ 8
71 PANW 8
72 PINS 8
73 PLTU πŸš€ πŸ“ˆ 8
74 PTON πŸš€ πŸ“ˆ 8
75 PYPL 8
76 QCOM 8
77 QQQ 8
78 RDDT πŸš€ πŸ“ˆ 8
79 SNAP 8
80 SNOW 8
81 SOFI πŸ“ˆ 8
82 SPY 8
83 TNA 8
84 TQQQ πŸ“ˆ 8
85 U πŸš€ 8
86 UAL πŸš€ πŸ“ˆ 8
87 UPST πŸš€ πŸ“ˆ 8
88 WFC 8
89 ADBE 7
90 AMZN 7
91 AMZU 7
92 BA 7
93 BAC 7
94 BIDU 7
95 BP 7
96 C 7
97 DIS 7
98 FFTY 7
99 HOOD πŸ“ˆ 7
100 MARA πŸ“ˆ 7
101 META 7
102 MSFT 7
103 MSTR πŸ“ˆ 7
104 NFLX 7
105 PLTR πŸš€ πŸ“ˆ 7
106 QS πŸš€ πŸ“ˆ 7
107 ROKU 7
108 SHOP πŸš€ 7
109 SIRI 7
110 TIGR πŸš€ πŸ“ˆ 7
111 WBD 7
112 ZI πŸš€ 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.