Thursday January 30, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 155 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 26 148.41 154.40
2 SBUX 23 100.01 109.00
3 CHWY 19 38.25 39.80
4 NU 19 12.18 13.44
5 PBR 19 13.86 14.13
6 RBLX 18 67.41 71.38
7 OKTA đźš€ 17 90.15 93.76
8 DAL 16 67.52 68.57
9 DKNG 15 41.20 42.73
10 SNOW đźš€ 15 176.42 179.29
11 C 13 80.88 81.86
12 COF 13 199.53 204.62
13 JPM 13 263.79 268.23
14 KNX 13 57.05 58.53
15 QCOM 13 169.63 171.93
16 CCL 12 26.26 28.49
17 HOOD 12 49.72 53.00
18 JD 12 39.54 42.30
19 PDD 12 107.89 115.40
20 WFC 12 77.62 78.82
21 XPEV đźš€ 12 14.70 15.57
22 AGNC 11 9.75 10.08
23 CRWD 11 379.38 396.87
24 CVNA 11 238.88 243.94
25 FAS 11 173.37 182.54
26 GOLD 11 16.00 16.57
27 GS 11 633.70 645.70
28 META 11 644.57 687.00
29 NET 11 126.41 137.26
30 NLY 11 19.61 20.47
31 RBRK 11 71.05 74.03
32 RDDT đźš€ 11 186.32 198.93
33 SPY 11 602.72 605.04
34 TLT 11 87.66 88.34
35 TMF 11 39.99 40.85
36 UPST đźš€ 11 65.87 67.32
37 V 11 329.04 343.05
38 VALE 11 9.01 9.39
39 WMT 11 94.90 98.65
40 YINN 11 29.33 33.26
41 ADBE 10 437.24 446.00
42 EH 10 16.21 17.22
43 MDB đźš€ 10 264.01 271.07
44 PANW 10 185.56 187.42
45 ZI đźš€ 10 10.15 10.47
46 AMZN 9 232.79 234.64
47 APP 9 353.57 365.51
48 BABA 9 90.00 102.74
49 BIDU 9 86.38 94.77
50 COST 9 950.42 979.01
51 CRM 9 337.72 343.57
52 NFLX 9 938.17 973.24
53 OKLO đźš€ 9 33.87 41.91
54 PLTR đźš€ 9 76.56 81.22
55 T 9 23.12 24.02
56 TIGR đźš€ 9 6.80 7.30
57 VZ 9 39.46 39.47
58 BB 8 4.19 4.41
59 NKE đźš€ 8 74.19 78.33
60 PINS 8 32.29 32.93
61 RETL 8 9.92 10.49
62 ROKU 8 80.59 85.28
63 SHOP đźš€ 8 109.39 119.18
64 DIS 7 110.63 113.43
65 WBD đźš€ 7 10.11 10.62
66 XP 7 12.62 14.00
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.