| Rank | Ticker | Consecutive Below 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | COST | 19 | Costco Wholesale Corporation |
| 2 | CORZ 📈 | 18 | Core Scientific, Inc. |
| 3 | DG | 14 | Dollar General Corporation |
| 4 | JNUG 🚀 📈 | 6 | Direxion Daily Junior Gold Mine |
| 5 | SONY | 6 | Sony Group Corporation |
| 6 | CART | 5 | Maplebear Inc. |
| 7 | CSCO | 5 | Cisco Systems, Inc. |
| 8 | AUR 📈 | 3 | Aurora Innovation, Inc. |
| 9 | RGTI 🚀 📈 | 3 | Rigetti Computing, Inc. |
| 10 | XPEV 🚀 📈 | 3 | XPeng Inc. |
| 11 | AS | 2 | Amer Sports, Inc. |
| 12 | LYV | 2 | Live Nation Entertainment, Inc. |
| 13 | NKE 🚀 | 2 | Nike, Inc. |
| 14 | SPG | 2 | Simon Property Group, Inc. |
| 15 | AFRM | 1 | Affirm Holdings, Inc. |
| 16 | BP | 1 | BP p.l.c. |
| 17 | CCL | 1 | Carnival Corporation |
| 18 | CNM | 1 | Core & Main, Inc. |
| 19 | DECK 🚀 | 1 | Deckers Outdoor Corporation |
| 20 | DELL | 1 | Dell Technologies Inc. |
| 21 | DKNG | 1 | DraftKings Inc. |
| 22 | EOSE 🚀 📈 | 1 | Eos Energy Enterprises, Inc. |
| 23 | FERG | 1 | Ferguson Enterprises Inc. |
| 24 | GM 🚀 | 1 | General Motors Company |
| 25 | GS | 1 | Goldman Sachs Group, Inc. (The) |
| 26 | HOOD 📈 | 1 | Robinhood Markets, Inc. |
| 27 | JPM | 1 | JP Morgan Chase & Co. |
| 28 | MDB 🚀 | 1 | MongoDB, Inc. |
| 29 | OKTA 🚀 | 1 | Okta, Inc. |
| 30 | PDD | 1 | PDD Holdings Inc. |
| 31 | QQQ | 1 | Invesco QQQ Trust, Series 1 |
| 32 | RBRK 🚀 📈 | 1 | Rubrik, Inc. |
| 33 | SHOP 🚀 | 1 | Shopify Inc. |
| 34 | SN | 1 | SharkNinja, Inc. |
| 35 | SOFI 📈 | 1 | SoFi Technologies, Inc. |
| 36 | SPY | 1 | State Street SPDR S&P 500 ETF T |
| 37 | TME | 1 | Tencent Music Entertainment Gro |
| 38 | TQQQ | 1 | ProShares UltraPro QQQ |
| 39 | TSM | 1 | Taiwan Semiconductor Manufactur |
| 40 | U 🚀 | 1 | Unity Software Inc. |
A 20‑day 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 20‑day 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 short‑term 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 20‑day 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.