Tuesday June 24, 2025 Stocks That Crossed Above The 20 Day Moving Average 120 Days Ago $CRM $EOSE $UBER $SPG $MUFG $AAL $BABA $MSTR $UAL $SNAP $XPEV $ACHR $LI $ANET

Check scan results for prior days 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 + Export Tickers
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Rank Ticker Consecutive Below 20SMA Days Yesterday Name
1 CRM 20 Salesforce, Inc.
2 EOSE πŸš€ πŸ“ˆ 19 Eos Energy Enterprises, Inc.
3 UBER 17 Uber Technologies, Inc.
4 SPG 10 Simon Property Group, Inc.
5 MUFG 9 Mitsubishi UFJ Financial Group,
6 AAL 8 American Airlines Group, Inc.
7 BABA 8 Alibaba Group Holding Limited
8 MSTR πŸ“ˆ 8 Strategy Inc
9 UAL πŸš€ πŸ“ˆ 8 United Airlines Holdings, Inc.
10 SNAP 7 Snap Inc.
11 XPEV πŸš€ πŸ“ˆ 7 XPeng Inc.
12 ACHR πŸš€ πŸ“ˆ 6 Archer Aviation Inc.
13 LI 6 Li Auto Inc.
14 ANET 4 Arista Networks, Inc.
15 CLSK πŸ“ˆ 4 CleanSpark, Inc.
16 DAL 4 Delta Air Lines, Inc.
17 DB 4 Deutsche Bank AG
18 SEDG πŸš€ πŸ“ˆ 4 SolarEdge Technologies, Inc.
19 YMM 4 Full Truck Alliance Co. Ltd.
20 BIDU 3 Baidu, Inc.
21 AMZU 2 Direxion Daily AMZN Bull 2X Sha
22 APTV 2 Aptiv PLC
23 CLF πŸš€ 2 Cleveland-Cliffs Inc.
24 EH 2 EHang Holdings Limited
25 AMZN 1 Amazon.com, Inc.
26 CORZ πŸ“ˆ 1 Core Scientific, Inc.
27 HPE 1 Hewlett Packard Enterprise Comp
28 LYB πŸš€ 1 LyondellBasell Industries NV
29 OKLO πŸš€ πŸ“ˆ 1 Oklo Inc.
30 RIOT πŸ“ˆ 1 Riot Platforms, Inc.
31 SMCI πŸš€ πŸ“ˆ 1 Super Micro Computer, Inc.
32 TRGP 1 None
What Is 20 Day Simple Moving Average?

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.