| Rank | Ticker | Consecutive Days Below 10SMA | Name |
|---|---|---|---|
| 1 | TLT | 16 | iShares 20+ Year Treasury Bond |
| 2 | TMF | 16 | Direxion Daily 20-Yr Treasury B |
| 3 | AI π | 5 | C3.ai, Inc. |
| 4 | RIG | 5 | Transocean Ltd (Switzerland) |
| 5 | SOUN π π | 5 | SoundHound AI, Inc. |
| 6 | MRVL π | 4 | Marvell Technology, Inc. |
| 7 | UAL π π | 4 | United Airlines Holdings, Inc. |
| 8 | AMZN | 3 | Amazon.com, Inc. |
| 9 | AMZU | 3 | Direxion Daily AMZN Bull 2X Sha |
| 10 | APP π | 3 | Applovin Corporation |
| 11 | ASML | 3 | ASML Holding N.V. - New York Re |
| 12 | BAC | 3 | Bank of America Corporation |
| 13 | BB π π | 3 | BlackBerry Limited |
| 14 | C | 3 | Citigroup, Inc. |
| 15 | CCL | 3 | Carnival Corporation |
| 16 | DIS | 3 | Walt Disney Company (The) |
| 17 | GS | 3 | Goldman Sachs Group, Inc. (The) |
| 18 | IWM | 3 | iShares Russell 2000 ETF |
| 19 | JPM | 3 | JP Morgan Chase & Co. |
| 20 | M π | 3 | Macy's Inc |
| 21 | MARA π | 3 | MARA Holdings, Inc. |
| 22 | NKE π | 3 | Nike, Inc. |
| 23 | OKTA π | 3 | Okta, Inc. |
| 24 | ORCL π | 3 | Oracle Corporation |
| 25 | SBUX | 3 | Starbucks Corporation |
| 26 | SIRI | 3 | SiriusXM Holdings Inc. |
| 27 | SPY | 3 | SPDR S&P 500 |
| 28 | TGT | 3 | Target Corporation |
| 29 | TNA | 3 | Direxion Small Cap Bull 3X Shar |
| 30 | WBD π | 3 | Warner Bros. Discovery, Inc. - |
| 31 | WMT | 3 | WALMART INC |
| 32 | AMD | 2 | Advanced Micro Devices, Inc. |
| 33 | AMDL π π | 2 | GraniteShares 2x Long AMD Daily |
| 34 | HPE | 2 | Hewlett Packard Enterprise Comp |
| 35 | LRCX | 2 | Lam Research Corporation |
| 36 | META | 2 | Meta Platforms, Inc. |
| 37 | MU π | 2 | Micron Technology, Inc. |
| 38 | QQQ | 2 | Invesco QQQ Trust, Series 1 |
| 39 | TQQQ | 2 | ProShares UltraPro QQQ |
| 40 | UTSL | 2 | Direxion Daily Utilities Bull 3 |
| 41 | VRT | 2 | Vertiv Holdings, LLC |
| 42 | VZ | 2 | Verizon Communications Inc. |
| 43 | ADBE | 1 | Adobe Inc. |
| 44 | ARM π π | 1 | Arm Holdings plc |
| 45 | AVGO | 1 | Broadcom Inc. |
| 46 | BBAI π π | 1 | BigBear.ai, Inc. |
| 47 | BTDR π π | 1 | Bitdeer Technologies Group |
| 48 | CLSK π | 1 | CleanSpark, Inc. |
| 49 | COST | 1 | Costco Wholesale Corporation |
| 50 | LUNR π π | 1 | Intuitive Machines, Inc. |
| 51 | MSFT | 1 | Microsoft Corporation |
| 52 | MSFU | 1 | Direxion Daily MSFT Bull 2X Sha |
| 53 | NTAP | 1 | NetApp, Inc. |
| 54 | NVDA | 1 | NVIDIA Corporation |
| 55 | NVDL π π | 1 | GraniteShares 2x Long NVDA Dail |
| 56 | RETL | 1 | Direxion Daily Retail Bull 3X S |
| 57 | RIOT π | 1 | Riot Platforms, Inc. |
| 58 | ROKU | 1 | Roku, Inc. |
| 59 | TSLA π | 1 | Tesla, Inc. |
| 60 | TSLL π π | 1 | Direxion Daily TSLA Bull 2X Sha |
| 61 | TSM | 1 | Taiwan Semiconductor Manufactur |
| 62 | U π | 1 | Unity Software Inc. |
| 63 | ULTA | 1 | Ulta Beauty, 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.