Wednesday November 5, 2025 Stocks Above The 10 SMA For Longest Consecutive Days Today $NXT $CLS $ROST $SNDK $GGLL $GOOG $GOOGL $M $WFC $ASX $DD $GH $LRCX $VALE

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 above 50 SMA for longest consecutive days Stocks above 10 SMA for longest consecutive days Next: Stocks below 10 SMA for longest consecutive days →
Rank Ticker Consecutive Days Above 10-Day SMA 10-Day SMA Latest Close Price
1 NXT 36 100.04 111.84
2 CLS 🚀 📈 18 326.74 352.61
3 ROST 18 159.58 162.23
4 SNDK 📈 18 192.28 216.50
5 GGLL 📈 17 78.84 84.96
6 GOOG 17 273.84 284.75
7 GOOGL 17 273.26 284.31
8 M 🚀 17 19.51 20.75
9 WFC 17 86.51 86.95
10 ASX 16 14.53 15.83
11 DD 🚀 16 35.09 39.63
12 GH 🚀 📈 16 83.17 95.05
13 LRCX 16 157.29 165.05
14 VALE 16 11.82 12.31
15 WBD 🚀 16 21.75 22.76
16 WELL 16 180.82 186.35
17 UPS 15 92.90 92.91
18 W 📈 15 97.23 100.86
19 WDC 15 140.68 160.10
20 AAPL 14 268.09 270.14
21 AAPU 14 35.47 35.95
22 AXP 14 360.09 365.80
23 CAH 14 177.51 196.79
24 FDX 14 248.96 256.10
25 XP 14 17.95 18.52
26 CTRA 13 24.07 25.75
27 FTI 🚀 13 41.25 42.34
28 HWM 13 203.08 206.31
29 LUMN 🚀 📈 13 10.01 10.86
30 MDB 🚀 13 346.33 350.28
31 MFG 13 6.62 6.66
32 RIG 13 3.87 3.90
33 FOXA 12 62.45 64.78
34 LVS 12 59.48 62.54
35 ROKU 12 101.76 105.67
36 TWLO 12 120.82 131.41
37 BP 11 34.95 35.68
38 ZI 🚀 11 10.18 10.20
39 AMZN 10 235.24 250.20
40 AMZU 10 39.24 43.91
41 CIEN 📈 10 185.36 195.81
42 CRDO 📈 10 166.74 173.16
43 EC 10 9.29 9.46
44 LMND 🚀 📈 10 59.80 78.73
45 NIO 🚀 📈 10 7.12 7.29
46 NVT 10 107.04 112.50
47 STX 📈 10 249.54 275.77
48 TER 🚀 10 166.01 187.59
49 YPF 10 33.74 37.02
50 C 9 100.27 101.69
51 CORZ 📈 9 20.69 21.80
52 GS 9 784.88 793.09
53 IBKR 9 69.75 71.62
54 JPM 9 306.08 311.68
55 ING 8 24.68 25.44
56 MRVL 🚀 8 88.74 92.90
57 BE 🚀 📈 7 124.02 141.41
58 CX 7 9.93 10.27
59 DB 7 35.16 36.42
60 FRMI 🚀 7 26.04 26.45
61 WULF 🚀 📈 7 14.75 15.36
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.