Tuesday March 11, 2025 Stocks With Highest % Below The 50 SMA 168 Days Ago $LUNR $TSLL $SERV $QUBT $CONL $IONQ $RCAT $SOUN $BBAI $BTDR $MRVL $DJT $TSLA $SOXL

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 with highest % below the 200 SMA Stocks with highest % below the 50 SMA Next: Stocks above 200 SMA for longest consecutive days →
Rank Ticker % Below 50-Day SMA 50-Day SMA Latest Close Price
1 LUNR πŸš€ πŸ“ˆ 64.35% 18.18 6.48
2 TSLL πŸš€ πŸ“ˆ 64.06% 22.01 7.91
3 SERV πŸš€ πŸ“ˆ 53.52% 15.00 6.97
4 QUBT πŸš€ πŸ“ˆ 52.03% 9.86 4.73
5 CONL πŸš€ πŸ“ˆ 51.87% 37.00 17.81
6 IONQ πŸš€ πŸ“ˆ 47.95% 35.92 18.70
7 RCAT πŸš€ πŸ“ˆ 45.72% 9.10 4.94
8 SOUN πŸš€ πŸ“ˆ 39.51% 14.12 8.54
9 BBAI πŸš€ πŸ“ˆ 38.53% 5.17 3.18
10 BTDR πŸš€ πŸ“ˆ 37.53% 16.92 10.57
11 MRVL πŸš€ 36.83% 106.32 67.16
12 DJT πŸš€ πŸ“ˆ 36.49% 30.81 19.57
13 TSLA πŸ“ˆ 36.46% 362.91 230.58
14 SOXL πŸš€ πŸ“ˆ 36.28% 27.32 17.41
15 NVDL πŸš€ πŸ“ˆ 36.10% 59.58 38.07
16 WULF πŸš€ πŸ“ˆ 35.78% 4.93 3.16
17 IREN πŸš€ πŸ“ˆ 33.39% 10.58 7.05
18 RGTI πŸš€ πŸ“ˆ 32.75% 11.97 8.05
19 SQ 32.40% 80.97 54.74
20 RETL 32.24% 9.11 6.17
21 AI πŸš€ 31.81% 30.68 20.92
22 RDDT πŸš€ πŸ“ˆ 31.45% 179.05 122.73
23 PTON πŸš€ πŸ“ˆ 30.87% 8.30 5.74
24 CORZ πŸ“ˆ 30.65% 12.44 8.63
25 RIOT πŸ“ˆ 30.61% 11.13 7.72
26 RKLB πŸš€ πŸ“ˆ 30.47% 25.64 17.83
27 AMDL πŸš€ πŸ“ˆ 30.26% 6.67 4.65
28 AAL 29.87% 16.34 11.46
29 PLTU πŸš€ πŸ“ˆ 29.67% 35.29 24.82
30 UPST πŸš€ πŸ“ˆ 29.20% 65.89 46.65
31 BITX πŸ“ˆ 28.98% 52.59 37.35
32 APP πŸ“ˆ 27.86% 357.28 257.76
33 HPE 27.58% 21.18 15.34
34 OKLO πŸš€ πŸ“ˆ 27.23% 35.00 25.47
35 TNA 27.19% 41.35 30.11
36 VRT 26.62% 113.28 83.12
37 TQQQ πŸ“ˆ 26.53% 80.46 59.11
38 VST πŸ“ˆ 26.43% 155.44 114.36
39 ACHR πŸš€ πŸ“ˆ 26.33% 9.24 6.81
40 DAL 25.96% 63.05 46.68
41 COIN πŸ“ˆ 25.95% 258.86 191.69
42 NBIS πŸš€ πŸ“ˆ 25.84% 34.32 25.45
43 NNOX πŸ“ˆ 25.62% 7.31 5.44
44 AFRM πŸ“ˆ 25.44% 62.73 46.77
45 SOFI πŸ“ˆ 25.37% 15.09 11.26
46 GGLL πŸ“ˆ 25.23% 44.07 32.95
47 CVNA πŸ“ˆ 24.71% 228.75 172.22
48 HOOD πŸ“ˆ 24.61% 48.23 36.36
49 UAL πŸš€ πŸ“ˆ 24.36% 100.55 76.06
50 MDB πŸš€ 24.25% 258.35 195.70
51 AEO πŸš€ 24.22% 15.16 11.49
52 AMZU 24.15% 42.90 32.54
53 EVGO πŸš€ πŸ“ˆ 24.02% 3.30 2.51
54 CCL 23.05% 24.82 19.10
55 ARM πŸš€ πŸ“ˆ 23.05% 144.88 111.49
56 EOSE πŸš€ πŸ“ˆ 22.50% 5.10 3.95
57 APLD πŸš€ πŸ“ˆ 22.08% 8.18 6.38
58 RUN πŸš€ πŸ“ˆ 21.81% 8.86 6.93
59 NTAP 21.81% 116.28 90.92
60 RBRK πŸ“ˆ 21.46% 68.52 53.82
61 MARA πŸš€ πŸ“ˆ 21.19% 16.90 13.32
62 BBWI 19.49% 37.01 29.80
63 SYF 19.25% 64.38 51.99
64 MSTR πŸš€ πŸ“ˆ 19.04% 321.88 260.59
65 NAIL πŸš€ 18.95% 82.84 67.14
66 RIG 18.74% 3.62 2.94
67 SNAP 18.38% 10.86 8.86
68 GUSH 17.99% 28.71 23.54
69 MSFU 17.68% 37.84 31.15
70 QS πŸš€ πŸ“ˆ 17.60% 5.15 4.24
71 GME πŸš€ πŸ“ˆ 17.40% 27.37 22.61
72 FAS 17.17% 167.24 138.52
73 CLSK πŸ“ˆ 16.89% 9.94 8.26
74 NVDA 16.68% 130.53 108.76
75 SHOP πŸš€ 16.58% 111.42 92.95
76 RIVN 16.57% 12.93 10.79
77 CART 16.56% 45.56 38.02
78 DELL 16.24% 109.32 91.57
79 PYPL 16.19% 81.11 67.98
80 QBTS πŸš€ πŸ“ˆ 15.68% 6.38 5.38
81 AAPU 15.21% 33.38 28.30
82 AMD 14.91% 113.72 96.76
83 TSM 14.75% 200.55 170.97
84 ROKU 14.65% 81.59 69.64
85 APA 14.38% 22.43 19.20
86 CRWD 14.14% 384.05 329.75
87 TGT 14.14% 131.33 112.76
88 RBLX 14.12% 63.75 54.75
89 CRM 13.99% 322.12 277.05
90 COF 13.98% 192.28 165.40
91 AVGO 13.94% 220.88 190.09
92 ORCL πŸš€ 13.67% 167.02 144.18
93 AMC πŸš€ πŸ“ˆ 13.34% 3.43 2.97
94 KNX 13.31% 53.48 46.36
95 GS 13.25% 612.59 531.43
96 SNOW πŸš€ 13.19% 172.67 149.90
97 ULTA 12.94% 393.67 342.72
98 C 12.65% 77.28 67.50
99 BAC 12.56% 45.30 39.61
100 GOOGL 12.42% 187.30 164.04
101 CLF πŸš€ 12.41% 10.30 9.02
102 USB 12.16% 47.31 41.56
103 GOOG 12.16% 188.95 165.98
104 AMZN 11.85% 223.02 196.59
105 BA 11.54% 174.16 154.06
106 FFTY 11.38% 29.87 26.47
107 ROST 11.18% 144.84 128.65
108 JPM 11.18% 257.98 229.14
109 WFC 11.09% 75.67 67.28
110 DIS 11.05% 110.06 97.90
111 NET 10.92% 134.79 120.07
112 NU 10.70% 11.87 10.60
113 AA 10.53% 35.72 31.96
114 PLTR πŸš€ πŸ“ˆ 10.33% 87.04 78.05
115 GLW 9.87% 49.83 44.91
116 ET 9.44% 19.69 17.83
117 IWM 9.18% 221.05 200.75
118 CHWY 9.17% 36.55 33.20
119 M πŸš€ 8.89% 15.05 13.71
120 QQQ 8.79% 517.04 471.60
121 WMT 8.76% 95.83 87.44
122 U πŸš€ 8.65% 22.96 20.97
123 FDX 8.51% 265.55 242.96
124 MSFT 8.39% 415.31 380.45
125 SPG 7.85% 177.41 163.48
126 PBR 7.81% 13.68 12.61
127 PINS 7.62% 33.98 31.39
128 META 7.40% 654.14 605.71
129 DKNG 7.38% 41.74 38.66
130 PTEN 7.31% 8.42 7.80
131 LRCX 7.08% 78.95 73.36
132 AAPL 7.00% 237.46 220.84
133 QCOM 6.79% 164.25 153.10
134 INTC πŸš€ 6.72% 21.21 19.78
135 MU 6.56% 95.30 89.05
136 SPY 6.53% 594.78 555.92
137 COST 5.80% 987.75 930.49
138 ENPH 5.71% 64.52 60.83
139 OXY 5.66% 49.06 46.28
140 NFLX 5.63% 948.46 895.10
141 ERX 5.58% 59.98 56.64
142 ASML 5.50% 730.42 690.21
143 FCX 5.27% 37.87 35.88
144 UAA 4.83% 7.75 7.38
145 BB πŸš€ πŸ“ˆ 4.48% 4.58 4.37
146 SBUX 4.22% 103.97 99.58
147 SIRI 3.96% 23.64 22.70
148 UTSL 3.93% 34.24 32.89
149 HON 3.88% 217.00 208.59
150 PANW 3.78% 185.96 178.93
151 GM πŸš€ 2.91% 49.73 48.28
152 DVN 1.83% 35.05 34.41
153 DRN 1.81% 10.33 10.14
154 CSCO 1.52% 61.61 60.67
155 ADBE 1.39% 439.79 433.66
156 V 1.27% 336.41 332.14
157 NKE πŸš€ 1.12% 75.01 74.17
158 WBD πŸš€ 0.50% 10.42 10.37
159 TIGR πŸš€ πŸ“ˆ 0.47% 7.10 7.07
160 F 0.42% 9.73 9.69
161 UBER 0.21% 70.80 70.65
162 BP 0.07% 32.00 31.98
What Is 50 Day Simple Moving Average?

The 50‑Day Simple Moving Average (often called the 50‑day SMA) is a widely used technical indicator in finance. It represents the arithmetic average of the closing prices of a stock (or index or other asset) over the most recent 50 trading days, plotted continuously to form a smooth trendline. To calculate it exactly, one adds the closing prices for the last 50 sessions, then divides the total by 50. Each new day, the earliest closing price falls off and the latest one is added, yielding a rolling average without any weighting scheme. Traders often use the 50‑day SMA as a medium‑term trend indicator. When the price is above the SMA, the trend is generally considered bullish; below it, bearish. Many regard it as the first major support line in an uptrend, or as the first resistance in a downtrend. A common strategy is monitoring the interaction between the 50‑day SMA and the 200‑day SMA. A β€œgolden cross” occurs when the 50‑day SMA crosses above the 200‑day SMA, signaling potential upward momentum. A reverse β€œdeath cross” may indicate a bearish phase. Because it tracks average price, the 50‑day SMA lags actual price movement and may produce delayed or false signals in volatile or sideways markets. Many traders therefore complement it with faster indicators like Relative Strength Index (RSI) or short‑term exponential moving averages for confirmation.