| Rank | Ticker | Consecutive Days Above 10 SMA | Name |
|---|---|---|---|
| 1 | NKE ๐ | 10 | Nike, Inc. |
| 2 | BMNR ๐ | 9 | BitMine Immersion Technologies, |
| 3 | F | 9 | Ford Motor Company |
| 4 | PINS ๐ | 9 | Pinterest, Inc. |
| 5 | RDDT ๐ ๐ | 9 | Reddit, Inc. |
| 6 | RGTI ๐ ๐ | 9 | Rigetti Computing, Inc. |
| 7 | SMR ๐ | 9 | NuScale Power Corporation |
| 8 | COIN ๐ | 8 | Coinbase Global, Inc. - 3 |
| 9 | IONQ ๐ ๐ | 8 | IonQ, Inc. |
| 10 | LMND ๐ ๐ | 8 | Lemonade, Inc. |
| 11 | OKLO ๐ ๐ | 8 | Oklo Inc. |
| 12 | SOUN ๐ ๐ | 8 | SoundHound AI, Inc. |
| 13 | AGI | 7 | Alamos Gold Inc. |
| 14 | KLAR | 7 | Klarna Group plc |
| 15 | PANW | 7 | Palo Alto Networks, Inc. |
| 16 | UBER | 7 | Uber Technologies, Inc. |
| 17 | DJT ๐ ๐ | 5 | Trump Media & Technology Group |
| 18 | IBM | 5 | International Business Machines |
| 19 | JD | 5 | JD.com, Inc. |
| 20 | LYV | 5 | Live Nation Entertainment, Inc. |
| 21 | TSCO | 5 | Tractor Supply Company |
| 22 | CRCL ๐ ๐ | 4 | Circle Internet Group, Inc. |
| 23 | DB | 3 | Deutsche Bank AG |
| 24 | HOOD ๐ | 3 | Robinhood Markets, Inc. |
| 25 | PLTR ๐ | 3 | Palantir Technologies Inc. |
| 26 | QBTS ๐ ๐ | 3 | D-Wave Quantum Inc. |
| 27 | RUN ๐ ๐ | 3 | Sunrun Inc. |
| 28 | TAL | 3 | TAL Education Group |
| 29 | DVN ๐ | 2 | Devon Energy Corporation |
| 30 | WBD ๐ | 2 | Warner Bros. Discovery, Inc. - |
| 31 | AEG | 1 | Aegon Ltd. New York Registry Sh |
| 32 | AI ๐ | 1 | C3.ai, Inc. |
| 33 | BLSH | 1 | Bullish |
| 34 | BROS | 1 | Dutch Bros Inc. |
| 35 | EVGO ๐ ๐ | 1 | EVgo Inc. |
| 36 | GILD | 1 | Gilead Sciences, Inc. |
| 37 | HTHT | 1 | H World Group Limited |
| 38 | INCY | 1 | Incyte Corporation |
| 39 | SIRI | 1 | SiriusXM Holdings Inc. |
| 40 | SPG | 1 | Simon Property Group, Inc. |
| 41 | TOST | 1 | Toast, 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.