| Rank | Ticker | Consecutive Days Above 10 SMA | Name |
|---|---|---|---|
| 1 | CP | 24 | Canadian Pacific Kansas City Li |
| 2 | VTR | 23 | Ventas, Inc. |
| 3 | XEL | 21 | Xcel Energy Inc. |
| 4 | HWM | 18 | Howmet Aerospace Inc. |
| 5 | SRE | 18 | DBA Sempra |
| 6 | UTSL | 18 | Direxion Daily Utilities Bull 3 |
| 7 | AGI | 17 | Alamos Gold Inc. |
| 8 | WTRG | 14 | Essential Utilities, Inc. |
| 9 | SPG | 13 | Simon Property Group, Inc. |
| 10 | COHR | 11 | Coherent Corp. |
| 11 | MP ๐ | 7 | MP Materials Corp. |
| 12 | RBLX | 7 | Roblox Corporation |
| 13 | RGTI ๐ ๐ | 7 | Rigetti Computing, Inc. |
| 14 | CLF ๐ | 6 | Cleveland-Cliffs Inc. |
| 15 | ERIC ๐ | 6 | Ericsson |
| 16 | IONL ๐ ๐ | 6 | GraniteShares 2x Long IONQ Dail |
| 17 | LCID ๐ | 6 | Lucid Group, Inc. |
| 18 | DRN | 5 | Direxion Daily Real Estate Bull |
| 19 | KNX | 5 | Knight-Swift Transportation Hol |
| 20 | SJM | 5 | The J.M. Smucker Company |
| 21 | AMT | 4 | American Tower Corporation (REI |
| 22 | BCE | 4 | BCE, Inc. |
| 23 | COST | 4 | Costco Wholesale Corporation |
| 24 | HON | 4 | Honeywell International Inc. |
| 25 | WMT | 4 | Walmart Inc. |
| 26 | LUNR ๐ ๐ | 3 | Intuitive Machines, Inc. |
| 27 | AMD | 1 | Advanced Micro Devices, Inc. |
| 28 | AMX | 1 | America Movil, S.A.B. de C.V. |
| 29 | BE ๐ ๐ | 1 | Bloom Energy Corporation |
| 30 | BEKE | 1 | KE Holdings Inc |
| 31 | CCJ | 1 | Cameco Corporation |
| 32 | CIEN ๐ | 1 | Ciena Corporation |
| 33 | CLSK ๐ | 1 | CleanSpark, Inc. |
| 34 | IREN ๐ ๐ | 1 | IREN LIMITED |
| 35 | ISRG ๐ | 1 | Intuitive Surgical, Inc. |
| 36 | OKLO ๐ ๐ | 1 | Oklo Inc. |
| 37 | Q | 1 | Qnity Electronics, Inc. |
| 38 | QS ๐ ๐ | 1 | QuantumScape Corporation |
| 39 | RDDT ๐ ๐ | 1 | Reddit, Inc. |
| 40 | RGTU ๐ | 1 | Tradr 2X Long RGTI Daily ETF |
| 41 | RIOT ๐ ๐ | 1 | Riot Platforms, Inc. |
| 42 | RKLB ๐ | 1 | Rocket Lab Corporation |
| 43 | RKLX ๐ ๐ | 1 | Defiance Daily Target 2X Long R |
| 44 | TPR ๐ | 1 | Tapestry, Inc. |
A 10โday Simple Moving Average (SMA) is the unweighted average of a securityโs 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 shortโterm trends while reducing daily noise. Traders use the 10โday SMA for shortโterm trend analysis and trade timing. When prices stay consistently above the 10โday SMA, it often signals upward momentum; when below, it suggests a shortโterm downtrend. Common strategies involve watching price crossovers or combining the 10โday SMA with longer averages - like the 50โday - for โfaster 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 10โday SMA delivers relevant insight into recent trend shifts, market noise, and momentum. However, the 10โday 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 stopโloss levels or confirmation rules.