| Rank | Ticker | Consecutive Above 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | UWMC | 34 | UWM Holdings Corporation |
| 2 | NTAP | 33 | NetApp, Inc. |
| 3 | U π | 31 | Unity Software Inc. |
| 4 | FLEX | 23 | Flex Ltd. |
| 5 | RBLX π | 17 | Roblox Corporation |
| 6 | AVGO | 16 | Broadcom Inc. |
| 7 | CPB | 16 | The Campbell's Company |
| 8 | TPR π | 16 | Tapestry, Inc. |
| 9 | RIG | 15 | Transocean Ltd (Switzerland) |
| 10 | SHOP π | 15 | Shopify Inc. |
| 11 | BX | 13 | Blackstone Inc. |
| 12 | BCS | 12 | Barclays PLC |
| 13 | COIN π | 12 | Coinbase Global, Inc. - 3 |
| 14 | MARA | 12 | MARA Holdings, Inc. |
| 15 | SMR π | 9 | NuScale Power Corporation |
| 16 | AUR π | 8 | Aurora Innovation, Inc. |
| 17 | CRCL π π | 8 | Circle Internet Group, Inc. |
| 18 | CVNA π | 8 | Carvana Co. |
| 19 | STLA | 8 | Stellantis N.V. |
| 20 | NNOX π | 7 | NANO-X IMAGING LTD |
| 21 | LUV π | 6 | Southwest Airlines Company |
| 22 | USB | 6 | U.S. Bancorp |
| 23 | AMC π π | 5 | AMC Entertainment Holdings, Inc |
| 24 | CDNS | 5 | Cadence Design Systems, Inc. |
| 25 | ONON | 5 | On Holding AG |
| 26 | XYZ | 5 | Block, Inc. |
| 27 | DB | 4 | Deutsche Bank AG |
| 28 | GEV π | 4 | GE Vernova Inc. |
| 29 | RKLB π | 4 | Rocket Lab Corporation |
| 30 | LYG | 3 | Lloyds Banking Group Plc |
| 31 | CAH | 2 | Cardinal Health, Inc. |
| 32 | ARM π | 1 | Arm Holdings plc |
| 33 | COO | 1 | The Cooper Companies, Inc. |
| 34 | GPN π | 1 | Global Payments Inc. |
| 35 | KHC | 1 | The Kraft Heinz Company |
| 36 | MCHP π | 1 | Microchip Technology Incorporat |
| 37 | META | 1 | Meta Platforms, Inc. |
| 38 | SJM | 1 | The J.M. Smucker Company |
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.