Wednesday January 29, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 180 Days Ago $MMM $SBUX $CHWY $NU $PBR $RBLX $OKTA $DAL $DKNG $SNOW $C $COF $JPM $KNX

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Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 MMM 25 146.75 151.54
2 SBUX 22 98.42 108.58
3 CHWY 18 38.01 38.95
4 NU 18 11.97 12.55
5 PBR 18 13.82 13.89
6 RBLX ๐Ÿ“ˆ 17 66.65 70.08
7 OKTA ๐Ÿš€ 16 89.19 94.00
8 DAL 15 67.21 68.43
9 DKNG 14 40.80 41.90
10 SNOW 14 175.06 182.88
11 C 12 80.52 80.63
12 COF 12 198.13 203.91
13 JPM 12 262.20 266.58
14 KNX 12 56.78 58.34
15 QCOM 12 168.88 171.71
16 CCL 11 25.91 27.91
17 HOOD ๐Ÿ“ˆ 11 48.97 51.15
18 JD 11 38.85 40.26
19 PDD 11 106.42 112.04
20 WFC 11 77.33 78.37
21 XPEV ๐Ÿš€ ๐Ÿ“ˆ 11 14.45 14.81
22 AGNC 10 9.68 9.83
23 CRWD 10 375.89 397.07
24 CVNA ๐Ÿ“ˆ 10 235.89 245.46
25 FAS 10 171.18 177.66
26 GOLD 10 15.93 15.96
27 GS 10 629.72 637.38
28 META 10 637.58 676.49
29 MSFT 10 436.95 442.33
30 NET 10 124.13 136.44
31 NLY 10 19.44 19.76
32 RBRK ๐Ÿ“ˆ 10 70.32 74.11
33 RDDT ๐Ÿš€ ๐Ÿ“ˆ 10 183.49 202.00
34 SPY 10 601.49 601.81
35 TLT 10 87.50 88.01
36 TMF 10 39.79 40.37
37 UPST ๐Ÿš€ ๐Ÿ“ˆ 10 65.40 66.07
38 V 10 326.37 335.88
39 VALE 10 8.94 9.07
40 WMT 10 94.17 97.50
41 YINN ๐Ÿ“ˆ 10 28.59 31.25
42 ADBE 9 434.37 441.68
43 EH ๐Ÿ“ˆ 9 15.98 16.73
44 MDB ๐Ÿš€ 9 261.19 278.33
45 PANW 9 184.24 185.42
46 ZI ๐Ÿš€ 9 10.09 10.31
47 AMZN 8 231.66 237.07
48 APP ๐Ÿ“ˆ 8 350.52 366.34
49 BABA 8 87.97 96.72
50 BIDU 8 85.05 89.61
51 COST 8 944.86 964.02
52 CRM 8 335.48 354.00
53 NFLX 8 925.67 978.15
54 OKLO ๐Ÿš€ ๐Ÿ“ˆ 8 32.10 35.30
55 PLTR ๐Ÿš€ ๐Ÿ“ˆ 8 75.25 79.76
56 T 8 22.90 24.23
57 TIGR ๐Ÿš€ ๐Ÿ“ˆ 8 6.68 6.82
58 VZ 8 39.33 40.28
59 BB ๐Ÿš€ ๐Ÿ“ˆ 7 4.16 4.34
60 NKE ๐Ÿš€ 7 73.46 76.58
61 PINS 7 32.06 33.22
62 RETL 7 9.81 10.11
63 RGTI ๐Ÿš€ ๐Ÿ“ˆ 7 12.48 12.66
64 RKLB ๐Ÿ“ˆ 7 28.36 28.87
65 ROKU 7 79.71 82.58
66 SHOP ๐Ÿš€ 7 107.89 116.59
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.