| Rank | Ticker | Consecutive Days Above 10 SMA | Name |
|---|---|---|---|
| 1 | ERX | 41 | Direxion Energy Bull 2X Shares |
| 2 | EXC | 19 | Exelon Corporation |
| 3 | ABNB | 15 | Airbnb, Inc. |
| 4 | CAVA | 14 | CAVA Group, Inc. |
| 5 | OXY | 14 | Occidental Petroleum Corporatio |
| 6 | SO | 13 | Southern Company (The) |
| 7 | CHYM | 10 | Chime Financial, Inc. |
| 8 | NDAQ | 10 | Nasdaq, Inc. |
| 9 | NWSA | 10 | News Corporation |
| 10 | TRI | 10 | Thomson Reuters Corp |
| 11 | CRM | 9 | Salesforce, Inc. |
| 12 | DASH | 9 | DoorDash, Inc. |
| 13 | BAH | 8 | Booz Allen Hamilton Holding Cor |
| 14 | COP | 8 | ConocoPhillips |
| 15 | CCI | 7 | Crown Castle Inc. |
| 16 | HPE | 7 | Hewlett Packard Enterprise Comp |
| 17 | ASTS 📈 | 6 | AST SpaceMobile, Inc. |
| 18 | DOCS | 6 | Doximity, Inc. |
| 19 | NTNX | 6 | Nutanix, Inc. |
| 20 | ACN | 5 | Accenture plc |
| 21 | TEAM | 5 | Atlassian Corporation |
| 22 | BB 📈 | 4 | BlackBerry Limited |
| 23 | CSGP | 4 | CoStar Group, Inc. |
| 24 | INFY | 4 | Infosys Limited |
| 25 | ORCL 🚀 | 4 | Oracle Corporation |
| 26 | ZS | 4 | Zscaler, Inc. |
| 27 | BAIG 📈 | 3 | Leverage Shares 2X Long BBAI Da |
| 28 | CTRA | 3 | Coterra Energy Inc. |
| 29 | DVN | 3 | Devon Energy Corporation |
| 30 | EXE | 3 | Expand Energy Corporation |
| 31 | NTAP | 3 | NetApp, Inc. |
| 32 | SOFI 📈 | 3 | SoFi Technologies, Inc. |
| 33 | COST | 2 | Costco Wholesale Corporation |
| 34 | WTRG | 2 | Essential Utilities, Inc. |
| 35 | AI | 1 | C3.ai, Inc. |
| 36 | ERIC 🚀 | 1 | Ericsson |
| 37 | FIG 🚀 | 1 | Figma, Inc. |
| 38 | HOOD 📈 | 1 | Robinhood Markets, Inc. |
| 39 | JOBY 📈 | 1 | Joby Aviation, Inc. |
| 40 | KMX | 1 | CarMax Inc |
| 41 | NOK 🚀 | 1 | Nokia Corporation Sponsored |
| 42 | QBTS 🚀 📈 | 1 | D-Wave Quantum Inc. |
| 43 | RGTI 🚀 📈 | 1 | Rigetti Computing, Inc. |
| 44 | RKLB 📈 | 1 | Rocket Lab Corporation |
| 45 | RKLX 🚀 📈 | 1 | Defiance Daily Target 2X Long R |
| 46 | ROBN 🚀 📈 | 1 | T-Rex 2X Long HOOD Daily Target |
| 47 | VTR | 1 | Ventas, Inc. |
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.