Tuesday March 4, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $QUBT $AEO $KNX $MARA $NAIL $SYF $TGT $EOSE $GGLL $GOOG $GOOGL $SQ $CRM $AMZN

Check scan results for prior days 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 + Export Tickers
← Previous: Stocks above 10 SMA for longest consecutive days Stocks below 10 SMA for longest consecutive days Next: Stocks below 50 SMA for longest consecutive days →
Rank Ticker Consecutive Days Below 10-Day SMA
1 QUBT 🚀 📈 26
2 AEO 🚀 24
3 KNX 22
4 MARA 🚀 📈 22
5 NAIL 🚀 📈 22
6 SYF 22
7 TGT 22
8 EOSE 🚀 📈 19
9 GGLL 📈 19
10 GOOG 19
11 GOOGL 19
12 SQ 19
13 CRM 18
14 AMZN 17
15 AMZU 17
16 CCL 17
17 RGTI 🚀 📈 17
18 AAL 16
19 DAL 16
20 DJT 🚀 📈 16
21 AI 🚀 15
22 BTDR 🚀 📈 15
23 IONQ 🚀 📈 15
24 RCAT 🚀 📈 15
25 RKLB 🚀 📈 15
26 WULF 🚀 📈 15
27 RIG 14
28 TSM 14
29 VRT 📈 14
30 RDDT 🚀 📈 13
31 ARM 🚀 📈 12
32 CLSK 📈 12
33 COIN 📈 12
34 CONL 🚀 📈 12
35 NNOX 📈 12
36 RETL 12
37 SERV 🚀 📈 12
38 AVGO 11
39 BIDU 11
40 META 11
41 NU 11
42 OKLO 🚀 📈 11
43 RIOT 📈 11
44 BBAI 🚀 📈 10
45 GLW 10
46 IWM 10
47 MSTR 🚀 📈 10
48 NET 10
49 PLTR 🚀 📈 10
50 PLTU 🚀 📈 10
51 RBRK 📈 10
52 SIRI 10
53 SNAP 10
54 SNOW 🚀 10
55 TNA 10
56 AFRM 📈 9
57 BA 9
58 BB 🚀 📈 9
59 C 9
60 CRWD 9
61 CVNA 📈 9
62 ET 9
63 FFTY 9
64 GS 9
65 HOOD 📈 9
66 IREN 🚀 📈 9
67 JPM 9
68 MRVL 🚀 9
69 NFLX 9
70 ORCL 🚀 9
71 PTEN 9
72 PTON 🚀 📈 9
73 SHOP 🚀 9
74 TSLL 🚀 📈 9
75 UAL 🚀 📈 9
76 VST 📈 9
77 WMT 9
78 AA 8
79 ACHR 🚀 📈 8
80 AMD 8
81 AMDL 🚀 📈 8
82 APA 8
83 APP 📈 8
84 BITX 📈 8
85 BP 8
86 CLF 🚀 8
87 COF 8
88 DKNG 8
89 EVGO 🚀 📈 8
90 FCX 8
91 GUSH 8
92 HPE 8
93 JNUG 🚀 📈 8
94 LUNR 🚀 📈 8
95 M 🚀 8
96 MDB 🚀 8
97 MSFT 8
98 MSFU 8
99 NBIS 🚀 📈 8
100 NEM 8
101 NVDA 8
102 NVDL 🚀 📈 8
103 PANW 8
104 PINS 8
105 PYPL 8
106 QCOM 8
107 QQQ 8
108 RIVN 📈 8
109 SOFI 📈 8
110 SPY 8
111 TQQQ 📈 8
112 TSLA 📈 8
113 UBER 8
114 UPST 🚀 📈 8
115 AMC 🚀 📈 7
116 CART 7
117 DELL 7
118 EH 📈 7
119 GME 🚀 📈 7
120 LRCX 7
121 MU 7
122 PDD 7
123 QS 🚀 📈 7
124 SOXL 🚀 📈 7
125 TAL 🚀 7
126 TIGR 🚀 📈 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 “faster 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.