| Rank | Ticker | Consecutive Days Below 10-Day SMA | Name |
|---|---|---|---|
| 1 | BLDR | 34 | Builders FirstSource, Inc. |
| 2 | LEN | 30 | Lennar Corporation |
| 3 | TSCO | 27 | Tractor Supply Company |
| 4 | UAA | 25 | Under Armour, Inc. |
| 5 | EL | 24 | Estee Lauder Companies, Inc. (T |
| 6 | DG | 23 | Dollar General Corporation |
| 7 | ACHR π | 22 | Archer Aviation Inc. |
| 8 | CELH | 22 | Celsius Holdings, Inc. |
| 9 | CHD | 22 | Church & Dwight Company, Inc. |
| 10 | EVGO π π | 22 | EVgo Inc. |
| 11 | FRMI π | 22 | Fermi Inc. |
| 12 | KDP | 22 | Keurig Dr Pepper Inc. |
| 13 | NLY | 22 | Annaly Capital Management Inc. |
| 14 | SYY | 22 | Sysco Corporation |
| 15 | AMT | 20 | American Tower Corporation (REI |
| 16 | ISRG π | 20 | Intuitive Surgical, Inc. |
| 17 | OKLO π π | 20 | Oklo Inc. |
| 18 | SJM | 20 | The J.M. Smucker Company |
| 19 | GLPI | 19 | Gaming and Leisure Properties, |
| 20 | CMCSA | 18 | Comcast Corporation |
| 21 | OMC π | 18 | Omnicom Group Inc. |
| 22 | TRU | 18 | TransUnion |
| 23 | CSGP | 17 | CoStar Group, Inc. |
| 24 | DASH | 17 | DoorDash, Inc. |
| 25 | FIG π | 17 | Figma, Inc. |
| 26 | QBTS π π | 17 | D-Wave Quantum Inc. |
| 27 | RGTI π π | 17 | Rigetti Computing, Inc. |
| 28 | SOFI π | 17 | SoFi Technologies, Inc. |
| 29 | TEAM | 17 | Atlassian Corporation |
| 30 | TRI | 17 | Thomson Reuters Corp |
| 31 | ZS | 17 | Zscaler, Inc. |
| 32 | TCOM | 16 | Trip.com Group Limited |
| 33 | TOST | 16 | Toast, Inc. |
| 34 | EOSE π π | 15 | Eos Energy Enterprises, Inc. |
| 35 | MP π | 15 | MP Materials Corp. |
| 36 | MSFT | 15 | Microsoft Corporation |
| 37 | NOW | 15 | ServiceNow, Inc. |
| 38 | NGD | 14 | New Gold Inc. |
| 39 | DKNG | 13 | DraftKings Inc. |
| 40 | SBUX | 13 | Starbucks Corporation |
| 41 | SNOW | 13 | Snowflake Inc. |
| 42 | TTD π | 13 | The Trade Desk, Inc. |
| 43 | BIDU | 12 | Baidu, Inc. |
| 44 | CRDO π | 12 | Credo Technology Group Holding |
| 45 | CRM | 12 | Salesforce, Inc. |
| 46 | SERV π π | 12 | Serve Robotics Inc. |
| 47 | SMCI π π | 12 | Super Micro Computer, Inc. |
| 48 | TME | 12 | Tencent Music Entertainment Gro |
| 49 | BEKE | 11 | KE Holdings Inc |
| 50 | BILI π | 11 | Bilibili Inc. |
| 51 | GLXY | 11 | Galaxy Digital Inc. |
| 52 | JOBY π | 11 | Joby Aviation, Inc. |
| 53 | KIM | 11 | Kimco Realty Corporation (HC) |
| 54 | MNST | 11 | Monster Beverage Corporation |
| 55 | SMR π | 11 | NuScale Power Corporation |
| 56 | TIGR π π | 11 | UP Fintech Holding Limited |
| 57 | BABA | 10 | Alibaba Group Holding Limited |
| 58 | BMNR π | 10 | BitMine Immersion Technologies, |
| 59 | CRWD | 10 | CrowdStrike Holdings, Inc. |
| 60 | MSTR π | 10 | Strategy Inc |
| 61 | VTR | 10 | Ventas, Inc. |
| 62 | BE π π | 9 | Bloom Energy Corporation |
| 63 | DT | 9 | Dynatrace, Inc. |
| 64 | HIMS π π | 9 | Hims & Hers Health, Inc. |
| 65 | KTOS π | 9 | Kratos Defense & Security Solut |
| 66 | MARA | 9 | MARA Holdings, Inc. |
| 67 | MU π | 9 | Micron Technology, Inc. |
| 68 | ORCL π | 9 | Oracle Corporation |
| 69 | XPEV π π | 9 | XPeng Inc. |
| 70 | YUMC | 9 | Yum China Holdings, Inc. |
| 71 | ENPH π | 8 | Enphase Energy, Inc. |
| 72 | NBIS π π | 8 | Nebius Group N.V. |
| 73 | APP π | 7 | Applovin Corporation |
| 74 | BLSH | 7 | Bullish |
| 75 | BSY | 7 | Bentley Systems, Incorporated |
| 76 | CAVA | 7 | CAVA Group, Inc. |
| 77 | CDNS | 7 | Cadence Design Systems, Inc. |
| 78 | COIN π | 7 | Coinbase Global, Inc. |
| 79 | CRCL π π | 7 | Circle Internet Group, Inc. |
| 80 | DDOG π | 7 | Datadog, Inc. |
| 81 | DOCS | 7 | Doximity, Inc. |
| 82 | FISV | 7 | Fiserv, Inc. |
| 83 | IBRX π | 7 | ImmunityBio, Inc. |
| 84 | INTU | 7 | Intuit Inc. |
| 85 | IONQ π π | 7 | IonQ, Inc. |
| 86 | IOT π | 7 | Samsara Inc. |
| 87 | IREN π π | 7 | IREN LIMITED |
| 88 | KRMN | 7 | Karman Holdings Inc. |
| 89 | MDB π | 7 | MongoDB, Inc. |
| 90 | NTNX | 7 | Nutanix, Inc. |
| 91 | SNPS | 7 | Synopsys, Inc. |
| 92 | UBER | 7 | Uber Technologies, Inc. |
| 93 | UPST π | 7 | Upstart Holdings, Inc. |
| 94 | WDAY | 7 | Workday, Inc. |
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.