| Rank | Ticker | Consecutive Above 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | EOSE π π | 47 | Eos Energy Enterprises, Inc. |
| 2 | MNST | 34 | Monster Beverage Corporation |
| 3 | NEE | 27 | NextEra Energy, Inc. |
| 4 | COO | 23 | The Cooper Companies, Inc. |
| 5 | DDOG π | 23 | Datadog, Inc. |
| 6 | CELH π | 22 | Celsius Holdings, Inc. |
| 7 | CMA | 20 | Comerica Incorporated |
| 8 | JHX π | 20 | James Hardie Industries plc. |
| 9 | IP | 11 | International Paper Company |
| 10 | MCD | 11 | McDonald's Corporation |
| 11 | KIM | 10 | Kimco Realty Corporation (HC) |
| 12 | ZBH | 10 | Zimmer Biomet Holdings, Inc. |
| 13 | TOST | 9 | Toast, Inc. |
| 14 | LEN | 8 | Lennar Corporation |
| 15 | NLY | 8 | Annaly Capital Management Inc. |
| 16 | BA | 7 | Boeing Company (The) |
| 17 | DT | 7 | Dynatrace, Inc. |
| 18 | SW | 7 | Smurfit WestRock plc |
| 19 | V | 7 | Visa Inc. |
| 20 | ADBE | 6 | Adobe Inc. |
| 21 | BBWI | 6 | Bath & Body Works, Inc. |
| 22 | LULU | 6 | lululemon athletica inc. |
| 23 | Z | 6 | Zillow Group, Inc. |
| 24 | CPB | 5 | The Campbell's Company |
| 25 | AFRM π | 4 | Affirm Holdings, Inc. |
| 26 | DOCU | 4 | DocuSign, Inc. |
| 27 | LUNR π π | 4 | Intuitive Machines, Inc. |
| 28 | RKT | 4 | Rocket Companies, Inc. |
| 29 | TSCO | 4 | Tractor Supply Company |
| 30 | USB | 4 | U.S. Bancorp |
| 31 | XYZ | 4 | Block, Inc. |
| 32 | YMM | 4 | Full Truck Alliance Co. Ltd. |
| 33 | CLSK π | 3 | CleanSpark, Inc. |
| 34 | COIN π | 3 | Coinbase Global, Inc. |
| 35 | FI | 3 | Fiserv, Inc. |
| 36 | LYB π | 3 | LyondellBasell Industries NV |
| 37 | AS | 2 | Amer Sports, Inc. |
| 38 | ENPH | 2 | Enphase Energy, Inc. |
| 39 | KHC | 2 | The Kraft Heinz Company |
| 40 | KLAR | 2 | Klarna Group plc |
| 41 | KMX | 2 | CarMax Inc |
| 42 | PYPL | 2 | PayPal Holdings, Inc. |
| 43 | RETL | 2 | Direxion Daily Retail Bull 3X S |
| 44 | CSGP | 1 | CoStar Group, Inc. |
| 45 | SONY | 1 | Sony Group Corporation |
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.