| Rank | Ticker | Consecutive Days Below 10SMA | Name |
|---|---|---|---|
| 1 | BAC | 20 | Bank of America Corporation |
| 2 | VZ | 19 | Verizon Communications Inc. |
| 3 | CLF ๐ | 18 | Cleveland-Cliffs Inc. |
| 4 | VRT | 16 | Vertiv Holdings, LLC |
| 5 | MDB ๐ | 15 | MongoDB, Inc. |
| 6 | SNAP | 14 | Snap Inc. |
| 7 | GOLD | 13 | A-Mark Precious Metals, Inc. |
| 8 | JNUG ๐ ๐ | 13 | Direxion Daily Junior Gold Mine |
| 9 | NU | 13 | Nu Holdings Ltd. |
| 10 | PINS | 13 | Pinterest, Inc. |
| 11 | VALE | 13 | VALE S.A. |
| 12 | NEM | 12 | Newmont Corporation |
| 13 | PBR | 12 | Petroleo Brasileiro S.A. Petrob |
| 14 | CELH ๐ | 10 | Celsius Holdings, Inc. |
| 15 | CORZ ๐ | 10 | Core Scientific, Inc. |
| 16 | META | 10 | Meta Platforms, Inc. |
| 17 | NBIS ๐ ๐ | 10 | Nebius Group N.V. |
| 18 | SPG | 10 | Simon Property Group, Inc. |
| 19 | BITX ๐ | 9 | 2x Bitcoin Strategy ETF |
| 20 | NET | 9 | Cloudflare, Inc. |
| 21 | WBD ๐ | 9 | Warner Bros. Discovery, Inc. - |
| 22 | AA | 3 | Alcoa Corporation |
| 23 | BABA | 3 | Alibaba Group Holding Limited |
| 24 | CART | 3 | Maplebear Inc. |
| 25 | HOOD ๐ | 3 | Robinhood Markets, Inc. |
| 26 | MCD | 3 | McDonald's Corporation |
| 27 | MRVL ๐ | 3 | Marvell Technology, Inc. |
| 28 | NIO ๐ ๐ | 3 | NIO Inc. |
| 29 | SEDG ๐ ๐ | 3 | SolarEdge Technologies, Inc. |
| 30 | U ๐ | 3 | Unity Software Inc. |
| 31 | VST ๐ | 3 | Vistra Corp. |
| 32 | APP ๐ | 2 | Applovin Corporation |
| 33 | DELL | 2 | Dell Technologies Inc. |
| 34 | ENPH | 2 | Enphase Energy, Inc. |
| 35 | NOK ๐ | 2 | Nokia Corporation Sponsored |
| 36 | RUN ๐ ๐ | 2 | Sunrun Inc. |
| 37 | TSM | 2 | Taiwan Semiconductor Manufactur |
| 38 | UBER | 2 | Uber Technologies, Inc. |
| 39 | UTSL | 2 | Direxion Daily Utilities Bull 3 |
| 40 | CHWY | 1 | Chewy, Inc. |
| 41 | IONQ ๐ ๐ | 1 | IonQ, Inc. |
| 42 | NVDA | 1 | NVIDIA Corporation |
| 43 | NVDL ๐ ๐ | 1 | GraniteShares 2x Long NVDA Dail |
| 44 | QS ๐ ๐ | 1 | QuantumScape Corporation |
| 45 | QUBT ๐ ๐ | 1 | Quantum Computing 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.