| Rank | Ticker | Consecutive Days Above 10 SMA | Name |
|---|---|---|---|
| 1 | GEHC | 17 | GE HealthCare Technologies Inc. |
| 2 | ADI | 15 | Analog Devices, Inc. |
| 3 | IBM | 15 | International Business Machines |
| 4 | IWM | 15 | iShares Russell 2000 ETF |
| 5 | ON | 15 | ON Semiconductor Corporation |
| 6 | STLA | 15 | Stellantis N.V. |
| 7 | DKNG | 14 | DraftKings Inc. |
| 8 | BHP | 13 | BHP Group Limited |
| 9 | CELH 🚀 | 13 | Celsius Holdings, Inc. |
| 10 | DD 🚀 | 13 | DuPont de Nemours, Inc. |
| 11 | ENTG | 13 | Entegris, Inc. |
| 12 | KDP | 13 | Keurig Dr Pepper Inc. |
| 13 | MCHP | 13 | Microchip Technology Incorporat |
| 14 | NWSA | 13 | News Corporation |
| 15 | STM | 13 | STMicroelectronics N.V. |
| 16 | HAL | 12 | Halliburton Company |
| 17 | QCOM | 12 | QUALCOMM Incorporated |
| 18 | CRM | 11 | Salesforce, Inc. |
| 19 | FLEX | 10 | Flex Ltd. |
| 20 | LYV | 9 | Live Nation Entertainment, Inc. |
| 21 | CIEN 📈 | 8 | Ciena Corporation |
| 22 | FTI 🚀 | 5 | TechnipFMC plc |
| 23 | XOM | 5 | Exxon Mobil Corporation |
| 24 | GPC | 4 | Genuine Parts Company |
| 25 | PLD | 4 | Prologis, Inc. |
| 26 | SGI | 4 | Somnigroup International Inc. |
| 27 | TRU | 4 | TransUnion |
| 28 | ADM | 3 | Archer-Daniels-Midland Company |
| 29 | BCE | 3 | BCE, Inc. |
| 30 | CF | 3 | CF Industries Holdings, Inc. |
| 31 | FAS | 3 | Direxion Financial Bull 3X Shar |
| 32 | HD | 3 | Home Depot, Inc. (The) |
| 33 | MOS | 3 | Mosaic Company (The) |
| 34 | MUFG | 3 | Mitsubishi UFJ Financial Group, |
| 35 | SJM | 3 | The J.M. Smucker Company |
| 36 | ZTO | 3 | ZTO Express (Cayman) Inc. |
| 37 | VZ | 2 | Verizon Communications Inc. |
| 38 | AEM | 1 | Agnico Eagle Mines Limited |
| 39 | CAH | 1 | Cardinal Health, Inc. |
| 40 | DHR | 1 | Danaher Corporation |
| 41 | DRN | 1 | Direxion Daily Real Estate Bull |
| 42 | INCY | 1 | Incyte Corporation |
| 43 | KIM | 1 | Kimco Realty Corporation (HC) |
| 44 | TMO | 1 | Thermo Fisher Scientific Inc |
| 45 | WRB | 1 | W.R. Berkley Corporation |
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.