Monday September 29, 2025 Stocks With Highest % Below The 50 SMA Four Days Ago $CHYM $UPST $KMX $SQ $CAVA $JHX $TTD $YPF $CART $BROS $SNPS $CRCL $FCX $NNOX

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 CHYM 25.42% 27.89 20.80
2 UPST πŸš€ πŸ“ˆ 23.98% 69.37 52.74
3 KMX 22.33% 58.26 45.25
4 SQ πŸ“ˆ 19.67% 75.94 61.00
5 CAVA 19.52% 73.01 58.76
6 JHX 18.68% 23.13 18.81
7 TTD 17.72% 60.33 49.64
8 YPF πŸ“ˆ 17.25% 30.63 25.35
9 CART 17.10% 45.74 37.92
10 BROS 16.55% 63.00 52.57
11 SNPS 15.40% 569.28 481.61
12 CRCL πŸš€ 14.55% 148.61 126.99
13 FCX 13.59% 42.96 37.12
14 NNOX πŸ“ˆ 12.52% 4.29 3.75
15 DLTR 12.40% 107.54 94.21
16 CNM 11.23% 60.42 53.63
17 AI πŸš€ 10.94% 19.45 17.32
18 BLDR 10.75% 134.02 119.61
19 LYB 10.48% 54.82 49.08
20 BBWI 10.15% 29.00 26.06
21 UAA 9.87% 5.55 5.00
22 ZIM πŸš€ πŸ“ˆ 9.50% 15.04 13.61
23 MSTR πŸ“ˆ 9.10% 359.09 326.42
24 TGT 8.77% 97.37 88.83
25 QXO πŸ“ˆ 8.73% 20.53 18.74
26 PINS 8.53% 36.43 33.32
27 AAL 8.30% 12.41 11.38
28 SN 8.25% 115.77 106.22
29 BAX 8.10% 24.35 22.38
30 AS 7.83% 37.55 34.61
31 ILMN 7.63% 99.46 91.87
32 AMDL πŸš€ πŸ“ˆ 7.55% 11.10 10.26
33 OWL 7.16% 18.91 17.56
34 AUR πŸ“ˆ 7.07% 5.96 5.54
35 NKE πŸš€ 7.03% 74.81 69.55
36 DECK πŸš€ 6.85% 110.88 103.28
37 AMZU 6.76% 38.22 35.64
38 SW 6.12% 44.96 42.21
39 CSGP 6.02% 89.62 84.23
40 TEAM 6.00% 175.86 165.31
41 CMG 5.96% 42.43 39.90
42 TRU 5.93% 90.61 85.23
43 DKNG 5.76% 44.89 42.31
44 TWLO 5.72% 110.62 104.29
45 KNX 5.68% 42.57 40.15
46 ONON 5.63% 46.19 43.59
47 KHC 5.61% 27.23 25.70
48 CPB 5.50% 32.67 30.87
49 PTEN 5.50% 5.63 5.32
50 DG 5.42% 108.84 102.94
51 BITX πŸ“ˆ 5.38% 58.22 55.09
52 NDAQ 5.13% 93.51 88.71
53 TSCO 4.89% 59.61 56.69
54 PR 4.79% 13.69 13.03
55 EOG 4.68% 118.92 113.35
56 FI 4.67% 136.84 130.45
57 IP 4.66% 48.33 46.08
58 CCI 4.53% 100.76 96.19
59 SMR πŸ“ˆ 4.51% 39.96 38.16
60 NUE 4.33% 142.24 136.08
61 KR 4.13% 69.29 66.43
62 BA 4.02% 226.18 217.08
63 COST 4.01% 955.17 916.87
64 HON 3.83% 217.62 209.28
65 UL 3.83% 61.52 59.17
66 FLUT 3.65% 293.99 283.26
67 ABNB 3.62% 127.54 122.92
68 CCL 3.56% 30.49 29.40
69 COO 3.52% 70.14 67.67
70 DJT πŸš€ πŸ“ˆ 3.52% 17.53 16.91
71 Z 3.50% 83.46 80.54
72 YUMC 3.33% 45.11 43.61
73 MCHP πŸ“ˆ 3.33% 66.28 64.07
74 GEV 3.25% 622.69 602.43
75 SBUX 3.15% 88.43 85.64
76 ARM πŸš€ πŸ“ˆ 3.15% 144.34 139.80
77 NAIL πŸš€ πŸ“ˆ 3.12% 76.47 74.08
78 ON 3.04% 51.32 49.76
79 CONL πŸš€ πŸ“ˆ 3.03% 37.81 36.66
80 TMO 2.92% 475.93 462.04
81 RBRK πŸ“ˆ 2.75% 85.70 83.34
82 TMUS 2.75% 244.68 237.96
83 VTRS 2.61% 9.88 9.62
84 AMD 2.48% 165.46 161.36
85 ACN 2.45% 253.20 247.00
86 NWG 2.41% 14.29 13.95
87 AMZN 2.26% 227.30 222.17
88 AFRM πŸ“ˆ 2.24% 78.31 76.56
89 APG 2.20% 35.06 34.29
90 ZBH 2.14% 100.43 98.28
91 RCL 2.12% 333.80 326.72
92 SJM 1.91% 109.56 107.46
93 T 1.79% 28.58 28.07
94 DIS 1.79% 116.87 114.78
95 ET 1.75% 17.51 17.20
96 SMCI πŸš€ πŸ“ˆ 1.65% 47.14 46.36
97 CRM 1.62% 249.14 245.10
98 GILD 1.56% 114.41 112.62
99 PM 1.49% 165.46 162.99
100 XYZ 1.43% 76.48 75.39
101 STLA 1.36% 9.48 9.35
102 V 1.24% 344.43 340.16
103 FERG 1.22% 227.78 225.00
104 META 1.12% 751.83 743.40
105 MCD 1.08% 306.29 302.99
106 VST πŸ“ˆ 1.05% 200.04 197.94
107 SIRI 1.01% 22.92 22.69
108 DT 0.92% 49.78 49.32
109 TIGR πŸš€ πŸ“ˆ 0.70% 10.94 10.86
110 VZ 0.70% 43.55 43.25
111 KIM 0.69% 21.82 21.67
112 OVV 0.66% 40.91 40.64
113 TME 0.66% 23.89 23.73
114 NLY 0.64% 21.06 20.92
115 MSFU 0.56% 51.82 51.53
116 CSCO 0.55% 68.10 67.72
117 CDNS 0.55% 350.46 348.52
118 DAL 0.55% 57.98 57.66
119 LI 0.43% 25.34 25.23
120 EQNR 0.38% 24.85 24.76
121 EL 0.33% 89.43 89.13
122 EBAY 0.31% 91.46 91.17
123 UAL πŸš€ πŸ“ˆ 0.29% 98.92 98.64
124 NFLX 0.19% 1208.71 1206.41
125 ENPH 0.17% 36.14 36.08
126 NCLH 0.10% 24.78 24.75
127 NTR 0.06% 57.78 57.75
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.