Wednesday April 9, 2025 Stocks Below 10 SMA For Longest Consecutive Days Twenty Days Ago $NKE $BABA $EH $NIO $YINN $AGNC $JD $MU $AA $XP $BB $NLY $APLD $DELL

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Rank Ticker Consecutive Days Below 10-Day SMA
1 NKE 🚀 28
2 BABA 15
3 EH 📈 15
4 NIO 🚀 📈 15
5 YINN 📈 15
6 AGNC 14
7 JD 14
8 MU 14
9 AA 13
10 XP 13
11 BB 🚀 📈 12
12 NLY 12
13 APLD 🚀 📈 11
14 DELL 11
15 GLW 11
16 IREN 🚀 📈 11
17 M 🚀 11
18 NNOX 📈 11
19 PDD 11
20 SOXL 🚀 📈 11
21 TSM 11
22 WULF 🚀 📈 11
23 AMDL 🚀 📈 10
24 FCX 10
25 GM 🚀 10
26 IWM 10
27 MMM 10
28 PINS 10
29 QCOM 10
30 TNA 10
31 WFC 10
32 ADBE 9
33 BAC 9
34 BIDU 9
35 BP 9
36 C 9
37 DIS 9
38 FFTY 9
39 ROKU 9
40 SIRI 9
41 TIGR 🚀 📈 9
42 WBD 9
43 ZI 🚀 9
44 EVGO 🚀 📈 8
45 QUBT 🚀 📈 8
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.