| Rank | Ticker | Consecutive Below 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | XPEV π π | 23 | XPeng Inc. |
| 2 | INCY | 14 | Incyte Corporation |
| 3 | BMRN | 11 | BioMarin Pharmaceutical Inc. |
| 4 | GILD | 11 | Gilead Sciences, Inc. |
| 5 | EXEL | 9 | Exelixis, Inc. |
| 6 | ISRG π | 8 | Intuitive Surgical, Inc. |
| 7 | NVDL π π | 7 | GraniteShares 2x Long NVDA Dail |
| 8 | NVDA | 6 | NVIDIA Corporation |
| 9 | ANET | 5 | Arista Networks, Inc. |
| 10 | CRWV π π | 5 | CoreWeave, Inc. |
| 11 | CWVX π π | 5 | Tradr 2X Long CRWV Daily ETF |
| 12 | FFTY | 5 | Innovator IBD 50 ETF |
| 13 | IBKR | 5 | Interactive Brokers Group, Inc. |
| 14 | NXT | 5 | Nextpower Inc. |
| 15 | QBTX π | 5 | Tradr 2X Long QBTS Daily ETF |
| 16 | RUN π π | 5 | Sunrun Inc. |
| 17 | APLD π π | 4 | Applied Digital Corporation |
| 18 | ARCX π | 4 | Tradr 2X Long ACHR Daily ETF |
| 19 | BBAI π π | 4 | BigBear.ai, Inc. |
| 20 | QQQ | 4 | Invesco QQQ Trust, Series 1 |
| 21 | RCAT π π | 4 | Red Cat Holdings, Inc. |
| 22 | RKT | 4 | Rocket Companies, Inc. |
| 23 | SPOT | 4 | Spotify Technology S.A. |
| 24 | CCJ | 3 | Cameco Corporation |
| 25 | KTOS π | 3 | Kratos Defense & Security Solut |
| 26 | ACHR π π | 2 | Archer Aviation Inc. |
| 27 | APG | 2 | APi Group Corporation |
| 28 | BLSH | 2 | Bullish |
| 29 | CELH π | 2 | Celsius Holdings, Inc. |
| 30 | CRCG π | 2 | Leverage Shares 2X Long CRCL Da |
| 31 | CSCO | 2 | Cisco Systems, Inc. |
| 32 | JBS | 2 | JBS N.V. |
| 33 | KLAR | 2 | Klarna Group plc |
| 34 | PLTU π π | 2 | Direxion Daily PLTR Bull 2X Sha |
| 35 | RBRK π π | 2 | Rubrik, Inc. |
| 36 | SPY | 2 | SPDR S&P 500 |
| 37 | TIGR π π | 2 | UP Fintech Holding Limited |
| 38 | CF | 1 | CF Industries Holdings, Inc. |
| 39 | ELAN | 1 | Elanco Animal Health Incorporat |
| 40 | W π | 1 | Wayfair 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.