| Rank | Ticker | Consecutive Days Above 10 SMA | Name |
|---|---|---|---|
| 1 | OKTA 🚀 | 17 | Okta, Inc. |
| 2 | FCX | 11 | Freeport-McMoRan, Inc. |
| 3 | QUBT 🚀 📈 | 11 | Quantum Computing Inc. |
| 4 | AMD | 9 | Advanced Micro Devices, Inc. |
| 5 | APP 📈 | 9 | Applovin Corporation |
| 6 | CRWD | 9 | CrowdStrike Holdings, Inc. |
| 7 | F | 9 | Ford Motor Company |
| 8 | GM 🚀 | 9 | General Motors Company |
| 9 | MMM | 9 | 3M Company |
| 10 | PANW | 9 | Palo Alto Networks, Inc. |
| 11 | PTON 🚀 📈 | 9 | Peloton Interactive, Inc. |
| 12 | PYPL | 9 | PayPal Holdings, Inc. |
| 13 | QCOM | 9 | QUALCOMM Incorporated |
| 14 | AEO 🚀 | 8 | American Eagle Outfitters, Inc. |
| 15 | AI 🚀 | 8 | C3.ai, Inc. |
| 16 | AMC 🚀 | 8 | AMC Entertainment Holdings, Inc |
| 17 | GME 🚀 📈 | 8 | GameStop Corporation |
| 18 | IWM | 8 | iShares Russell 2000 Index Fund |
| 19 | WFC | 8 | Wells Fargo & Company |
| 20 | CCL | 6 | Carnival Corporation Ltd. |
| 21 | CRM | 6 | Salesforce, Inc. |
| 22 | HPE | 6 | Hewlett Packard Enterprise Comp |
| 23 | MDB 🚀 | 6 | MongoDB, Inc. |
| 24 | QQQ | 6 | Invesco QQQ Trust, Series 1 |
| 25 | RIOT 🚀 | 6 | Riot Platforms, Inc. |
| 26 | RKLB 🚀 📈 | 6 | Rocket Lab Corporation |
| 27 | SNAP | 6 | Snap Inc. |
| 28 | SNOW 🚀 | 6 | Snowflake Inc. |
| 29 | SOFI | 6 | SoFi Technologies, Inc. |
| 30 | SPY | 6 | State Street SPDR S&P 500 ETF T |
| 31 | SYF | 6 | Synchrony Financial |
| 32 | UPST 🚀 | 6 | Upstart Holdings, Inc. |
| 33 | COIN 🚀 📈 | 5 | Coinbase Global, Inc. |
| 34 | NET | 5 | Cloudflare, Inc. |
| 35 | AAL | 4 | American Airlines Group, Inc. |
| 36 | CHWY | 4 | Chewy, Inc. |
| 37 | DAL | 4 | Delta Air Lines, Inc. |
| 38 | DJT 🚀 📈 | 4 | Trump Media & Technology Group |
| 39 | GOOG | 4 | Alphabet Inc. |
| 40 | IONQ 🚀 📈 | 4 | IonQ, Inc. |
| 41 | PINS | 4 | Pinterest, Inc. |
| 42 | U 🚀 | 4 | Unity Software Inc. |
| 43 | UAL 🚀 | 4 | United Airlines Holdings, Inc. |
| 44 | CLSK 🚀 📈 | 3 | CleanSpark, Inc. |
| 45 | GOOGL | 3 | Alphabet Inc. |
| 46 | RDDT 🚀 📈 | 3 | Reddit, 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.