| Rank | Ticker | Consecutive Below 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | CRCL π π | 34 | Circle Internet Group, Inc. |
| 2 | BITX π | 19 | 2x Bitcoin Strategy ETF |
| 3 | OWL | 19 | Blue Owl Capital Inc. |
| 4 | TAL π | 14 | TAL Education Group |
| 5 | GILD | 13 | Gilead Sciences, Inc. |
| 6 | D | 12 | Dominion Energy, Inc. |
| 7 | UTSL | 12 | Direxion Daily Utilities Bull 3 |
| 8 | PM | 11 | Philip Morris International Inc |
| 9 | RCAT π π | 10 | Red Cat Holdings, Inc. |
| 10 | YUMC | 10 | Yum China Holdings, Inc. |
| 11 | APG | 7 | APi Group Corporation |
| 12 | FDX | 7 | FedEx Corporation |
| 13 | STLA | 7 | Stellantis N.V. |
| 14 | KTOS π | 6 | Kratos Defense & Security Solut |
| 15 | ET | 4 | Energy Transfer LP |
| 16 | IBKR | 4 | Interactive Brokers Group, Inc. |
| 17 | MMM | 4 | 3M Company |
| 18 | ULTA | 4 | Ulta Beauty, Inc. |
| 19 | TMO | 3 | Thermo Fisher Scientific Inc |
| 20 | CRH | 2 | CRH PLC |
| 21 | ENTG | 2 | Entegris, Inc. |
| 22 | EVGO π π | 2 | EVgo Inc. |
| 23 | F | 2 | Ford Motor Company |
| 24 | LYB π | 2 | LyondellBasell Industries NV |
| 25 | YUM | 2 | Yum! Brands, Inc. |
| 26 | AA | 1 | Alcoa Corporation |
| 27 | BAX | 1 | Baxter International Inc. |
| 28 | CAH | 1 | Cardinal Health, Inc. |
| 29 | CDNS | 1 | Cadence Design Systems, Inc. |
| 30 | COST | 1 | Costco Wholesale Corporation |
| 31 | DRN | 1 | Direxion Daily Real Estate Bull |
| 32 | EXEL | 1 | Exelixis, Inc. |
| 33 | FAS | 1 | Direxion Financial Bull 3X Shar |
| 34 | FUTU π | 1 | Futu Holdings Limited |
| 35 | GM π | 1 | General Motors Company |
| 36 | KMX | 1 | CarMax Inc |
| 37 | MNST | 1 | Monster Beverage Corporation |
| 38 | NIO π π | 1 | NIO Inc. |
| 39 | OKTA π | 1 | Okta, Inc. |
| 40 | OMC | 1 | Omnicom Group Inc. |
| 41 | RCL | 1 | Royal Caribbean Cruises Ltd. |
| 42 | SNAP | 1 | Snap Inc. |
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.