Wednesday January 29, 2025 Stocks Above The 10 SMA For Longest Consecutive Days 156 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 17 66.65 70.08
7 OKTA đźš€ 16 89.19 94.00
8 DAL 15 67.21 68.43
9 DKNG 14 40.80 41.90
10 SNOW đźš€ 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 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 đźš€ 11 14.45 14.81
22 AGNC 10 9.68 9.83
23 CRWD 10 375.89 397.07
24 CVNA 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 10 70.32 74.11
33 RDDT đźš€ 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 đźš€ 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 10 28.59 31.25
42 ADBE 9 434.37 441.68
43 EH 9 15.98 16.73
44 MDB đźš€ 9 261.19 278.33
45 PANW 9 184.24 185.42
46 ZI đźš€ 9 10.09 10.31
47 AMZN 8 231.66 237.07
48 APP 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 đźš€ 8 32.10 35.30
55 PLTR đźš€ 8 75.25 79.76
56 T 8 22.90 24.23
57 TIGR đźš€ 8 6.68 6.82
58 VZ 8 39.33 40.28
59 BB 7 4.16 4.34
60 NKE đźš€ 7 73.46 76.58
61 PINS 7 32.06 33.22
62 RETL 7 9.81 10.11
63 RGTI đźš€ 7 12.48 12.66
64 RKLB 7 28.36 28.87
65 ROKU 7 79.71 82.58
66 SHOP đźš€ 7 107.89 116.59
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.