Tuesday January 28, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 181 Days Ago $MMM $SBUX $CHWY $NU $PBR $UBER $RBLX $OKTA $DAL $DKNG $SNOW $C $COF $JPM

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 MMM 24 145.32 151.40
2 SBUX 21 96.87 100.41
3 CHWY 17 37.72 38.88
4 NU 17 11.81 12.64
5 PBR 17 13.79 13.95
6 UBER 17 67.70 68.07
7 RBLX ๐Ÿ“ˆ 16 65.87 68.43
8 OKTA ๐Ÿš€ 15 88.10 94.93
9 DAL 14 67.00 67.65
10 DKNG 13 40.61 42.00
11 SNOW 13 173.12 188.02
12 C 11 79.81 79.94
13 COF 11 196.21 203.12
14 JPM 11 260.29 267.14
15 KNX 11 56.44 58.52
16 QCOM 11 167.66 171.55
17 CCL 10 25.57 27.77
18 HOOD ๐Ÿ“ˆ 10 48.03 49.40
19 JD 10 38.29 41.07
20 NAIL ๐Ÿš€ ๐Ÿ“ˆ 10 97.16 97.40
21 PDD 10 105.03 112.18
22 WFC 10 76.61 77.88
23 XPEV ๐Ÿš€ ๐Ÿ“ˆ 10 14.23 15.11
24 AGNC 9 9.62 9.87
25 CRWD 9 370.99 408.68
26 CVNA ๐Ÿ“ˆ 9 230.86 244.85
27 DRN 9 10.08 10.23
28 FAS 9 168.32 177.98
29 GOLD 9 15.89 15.96
30 GS 9 623.13 637.80
31 IWM 9 226.31 226.75
32 META 9 629.36 674.33
33 MSFT 9 434.28 447.20
34 NET 9 121.69 139.98
35 NLY 9 19.30 19.90
36 RBRK ๐Ÿ“ˆ 9 69.42 73.19
37 RDDT ๐Ÿš€ ๐Ÿ“ˆ 9 179.77 194.75
38 SPY 9 599.53 604.52
39 TLT 9 87.23 88.19
40 TMF 9 39.45 40.61
41 TNA 9 44.50 44.61
42 UPST ๐Ÿš€ ๐Ÿ“ˆ 9 64.50 66.52
43 V 9 323.69 334.48
44 VALE 9 8.90 9.03
45 WMT 9 93.49 97.29
46 YINN ๐Ÿ“ˆ 9 27.96 31.56
47 ADBE 8 431.47 442.84
48 EH ๐Ÿ“ˆ 8 15.80 17.00
49 MDB ๐Ÿš€ 8 257.60 284.00
50 PANW 8 182.75 192.94
51 SIRI 8 21.94 22.06
52 ZI ๐Ÿš€ 8 10.04 10.50
53 AMZN 7 229.73 238.15
54 APP ๐Ÿ“ˆ 7 346.00 360.75
55 BA 7 173.11 177.78
56 BABA 7 86.47 96.03
57 BIDU 7 84.05 91.60
58 COST 7 940.19 958.67
59 CRM 7 332.43 359.95
60 NFLX 7 910.70 971.83
61 OKLO ๐Ÿš€ ๐Ÿ“ˆ 7 30.85 34.12
62 PLTR ๐Ÿš€ ๐Ÿ“ˆ 7 73.86 80.23
63 T 7 22.66 24.40
64 TIGR ๐Ÿš€ ๐Ÿ“ˆ 7 6.62 7.25
65 VZ 7 39.13 40.40
What Is 10 Day Simple Moving Average?

A 10โ€‘day Simple Moving Average (SMA) is the unweighted average of a securityโ€™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 shortโ€‘term trends while reducing daily noise. Traders use the 10โ€‘day SMA for shortโ€‘term trend analysis and trade timing. When prices stay consistently above the 10โ€‘day SMA, it often signals upward momentum; when below, it suggests a shortโ€‘term downtrend. Common strategies involve watching price crossovers or combining the 10โ€‘day SMA with longer averages - like the 50โ€‘day - for โ€œfaster versus slowerโ€ 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 10โ€‘day SMA delivers relevant insight into recent trend shifts, market noise, and momentum. However, the 10โ€‘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 stopโ€‘loss levels or confirmation rules.