| Rank | Ticker | Consecutive Above 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | UAA | 37 | Under Armour, Inc. |
| 2 | BAC | 36 | Bank of America Corporation |
| 3 | CCL | 36 | Carnival Corporation |
| 4 | GLW | 36 | Corning Incorporated |
| 5 | NTAP | 36 | NetApp, Inc. |
| 6 | SERV π π | 36 | Serve Robotics Inc. |
| 7 | V | 36 | Visa Inc. |
| 8 | ADBE | 35 | Adobe Inc. |
| 9 | RETL | 35 | Direxion Daily Retail Bull 3X S |
| 10 | AMDL π π | 34 | GraniteShares 2x Long AMD Daily |
| 11 | HON | 33 | Honeywell International Inc. |
| 12 | U π | 13 | Unity Software Inc. |
| 13 | COHR | 9 | Coherent Corp. |
| 14 | TNA | 9 | Direxion Small Cap Bull 3X Shar |
| 15 | HPE | 8 | Hewlett Packard Enterprise Comp |
| 16 | LI | 8 | Li Auto Inc. |
| 17 | PYPL | 8 | PayPal Holdings, Inc. |
| 18 | TAL π | 8 | TAL Education Group |
| 19 | PTON π π | 7 | Peloton Interactive, Inc. |
| 20 | CLSK π | 5 | CleanSpark, Inc. |
| 21 | COF | 5 | Capital One Financial Corporati |
| 22 | MARA π | 5 | MARA Holdings, Inc. |
| 23 | SHOP π | 5 | Shopify Inc. |
| 24 | SMCI π π | 5 | Super Micro Computer, Inc. |
| 25 | TGT | 5 | Target Corporation |
| 26 | USB | 5 | U.S. Bancorp |
| 27 | ACHR π π | 4 | Archer Aviation Inc. |
| 28 | JD | 4 | JD.com, Inc. |
| 29 | LVS | 4 | Las Vegas Sands Corp. |
| 30 | APTV | 3 | Aptiv PLC |
| 31 | INTC π | 3 | Intel Corporation |
| 32 | NAIL π | 3 | Direxion Daily Homebuilders & S |
| 33 | NKE π | 3 | Nike, Inc. |
| 34 | ANET | 2 | Arista Networks, Inc. |
| 35 | BROS | 2 | Dutch Bros Inc. |
| 36 | GM π | 2 | General Motors Company |
| 37 | HIMS π | 2 | Hims & Hers Health, Inc. |
| 38 | TIGR π π | 2 | UP Fintech Holding Limited |
| 39 | DELL | 1 | Dell Technologies Inc. |
| 40 | UTSL | 1 | Direxion Daily Utilities Bull 3 |
A 20βday Simple Moving Average (SMA) is a widely used technical analysis indicator that smooths out price data by calculating the arithmetic average of the closing prices over the most recent 20 trading days. Simply put, you sum up the closing price of each of the last 20 days and divide the total by 20 to get the SMA value. Each day, the oldest closing price drops out and the most recent one is included, so the line gradually adjusts. Because it assigns equal weight to each day, the 20βday SMA reacts more slowly than alternatives like the exponential moving average, which gives greater importance to recent price action. This smoothing effect makes it effective for identifying shortβterm trends, areas of support and resistance, and potential entry or exit signals when price crosses above or below the moving average. Swing traders often rely on the 20βday SMA to quickly gauge the current trend - whether bullish or bearish - and to use it dynamically as a support or resistance level. However, as a lagging indicator, it may produce false signals during sideways or choppy markets, so most traders use it in combination with momentum indicators like RSI or MACD for confirmation.