| Rank | Ticker | Consecutive Days Below 10SMA | Name |
|---|---|---|---|
| 1 | LMND π π | 22 | Lemonade, Inc. |
| 2 | AMC π | 16 | AMC Entertainment Holdings, Inc |
| 3 | ANET | 9 | Arista Networks, Inc. |
| 4 | CMCSA | 9 | Comcast Corporation |
| 5 | W π | 9 | Wayfair Inc. |
| 6 | DDOG | 8 | Datadog, Inc. |
| 7 | ORCL π | 8 | Oracle Corporation |
| 8 | CSGP | 5 | CoStar Group, Inc. |
| 9 | AMD | 4 | Advanced Micro Devices, Inc. |
| 10 | BEKE | 4 | KE Holdings Inc |
| 11 | AFRM | 3 | Affirm Holdings, Inc. |
| 12 | BB π | 3 | BlackBerry Limited |
| 13 | FIGR π | 3 | Figure Technology Solutions, In |
| 14 | HST | 3 | Host Hotels & Resorts, Inc. |
| 15 | INFY | 3 | Infosys Limited |
| 16 | IREN π π | 3 | IREN LIMITED |
| 17 | OKLO π π | 3 | Oklo Inc. |
| 18 | QS π π | 3 | QuantumScape Corporation |
| 19 | RKLB π | 3 | Rocket Lab Corporation |
| 20 | RKLX π π | 3 | Defiance Daily Target 2X Long R |
| 21 | ZS | 3 | Zscaler, Inc. |
| 22 | ISRG π | 2 | Intuitive Surgical, Inc. |
| 23 | MGM | 2 | MGM Resorts International |
| 24 | AMX | 1 | America Movil, S.A.B. de C.V. |
| 25 | BE π π | 1 | Bloom Energy Corporation |
| 26 | BMNR π | 1 | BitMine Immersion Technologies, |
| 27 | CCJ | 1 | Cameco Corporation |
| 28 | CIEN π | 1 | Ciena Corporation |
| 29 | CLSK π | 1 | CleanSpark, Inc. |
| 30 | CVE | 1 | Cenovus Energy Inc |
| 31 | GFS | 1 | GlobalFoundries Inc. |
| 32 | GLXY | 1 | Galaxy Digital Inc. |
| 33 | INTC π | 1 | Intel Corporation |
| 34 | Q | 1 | Qnity Electronics, Inc. |
| 35 | QBTS π π | 1 | D-Wave Quantum Inc. |
| 36 | QQQ | 1 | Invesco QQQ Trust, Series 1 |
| 37 | RDDT π π | 1 | Reddit, Inc. |
| 38 | RGTU π | 1 | Tradr 2X Long RGTI Daily ETF |
| 39 | RIOT π π | 1 | Riot Platforms, Inc. |
| 40 | ROBN π π | 1 | T-Rex 2X Long HOOD Daily Target |
| 41 | ROST | 1 | Ross Stores, Inc. |
| 42 | SBUX | 1 | Starbucks Corporation |
| 43 | SMCI π π | 1 | Super Micro Computer, Inc. |
| 44 | TPR π | 1 | Tapestry, Inc. |
| 45 | TQQQ | 1 | ProShares UltraPro QQQ |
A 10βday Simple Moving Average (SMA) is the unweighted average of a securityβs 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 shortβterm trends while reducing daily noise. Traders use the 10βday SMA for shortβterm trend analysis and trade timing. When prices stay consistently above the 10βday SMA, it often signals upward momentum; when below, it suggests a shortβterm downtrend. Common strategies involve watching price crossovers or combining the 10βday SMA with longer averages - like the 50βday - for βfaster versus slowerβ 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 10βday SMA delivers relevant insight into recent trend shifts, market noise, and momentum. However, the 10βday 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 stopβloss levels or confirmation rules.