STOCKTWITS EDGE

Premarket 2024/05/20

Madison Wray
May 20, 2024

STOCKTWITS EDGE: Premarket 2024/05/20

08:55:00 EST

This Context Analytics early STOCKTWITS EDGE Report highlights stocks, sectors, and industries with a significant positive and negative social sentiment (S-Scores) before the market closes.

S-Scores greater than +2, and S-Scores less than -2 are statistically significant at predicting price movement (up or down) for individual stocks.

TOP S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
WIX	Wix.com Ltd.	Extremely Positive	Extremely High	29
GLBE	Global-e Online Ltd.	Extremely Positive	Extremely High	25
EH	EHang Holdings Ltd.	Extremely Positive	Extremely High	50
NKGN	NKGen Biotech, Inc.	Extremely Positive	Extremely High	37
MMV	MultiMetaVerse Holdings Limited	Extremely Positive	Extremely High	83
ZM	Zoom Video Communications, Inc.	Extremely Positive	High	22
ASTS	AST SpaceMobile, Inc.	High Positive	Normal	133
NLST	Netlist, Inc.	High Positive	Normal	200
GOLD	Barrick Gold Corporation	Positive	Normal	34
CCL	Carnival Corporation	Positive	Below Normal	20

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
LI	Li Auto Inc.	High Negative	Extremely High	81
VXRT	Vaxart, Inc	Negative	Normal	47
WULF	TeraWulf Inc.	Negative	Below Normal	15
BYND	Beyond Meat, Inc. (BYND)	Negative	Normal	17
MVIS	Microvision Inc.	Negative	Normal	74
GEVO	Gevo, Inc.	Negative	Normal	15
LCID	Lucid Group, Inc.	Neutral	Normal	30
SNDL	Sundial Growers Inc.	Neutral	Below Normal	47
GME	GameStop Corp.	Neutral	Normal	2193
NKLA	Nikola Corporation	Neutral	Below Normal	38

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Capital Goods	Neutral	Normal	4134
Technology	Neutral	Below Normal	2656
Transportation	Neutral	Below Normal	118
Energy	Neutral	Below Normal	279
Consumer Durables	Neutral	Normal	256
Miscellaneous	Neutral	Below Normal	77
Public Utilities	Neutral	Normal	170
Basic Industries	Neutral	Normal	278
Finance	Neutral	Below Normal	2205

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Military/Government/Technical	Capital Goods	High Positive	Normal	68
Marine Transportation	Capital Goods	Positive	Normal	111
Application Software	Technology	Positive	Normal	23
Plastic Products	Consumer Non-Durable	Positive	Normal	136
Steel/Iron Ore	Basic Industries	Positive	Normal	18
Computer Software: Programming, Data Processing	Technology	Neutral	Below Normal	305
Automotive Aftermarket	Consumer Durables	Neutral	Normal	20
Auto Manufacturing	Capital Goods	Neutral	Normal	3575
Major Banks	Finance	Neutral	Normal	91
Biotechnology: Electromedical & Electrotherapeutic Apparatus	Health Care	Neutral	Normal	34

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Major Chemicals	Basic Industries	Negative	Below Normal	29
RETAIL: Building Materials	Consumer Services	Negative	Normal	15
Recreational Products/Toys	Consumer Non-Durable	Negative	Normal	12
Industrial Specialties	Health Care	Negative	Below Normal	31
Biotechnology: Biological Products (No Diagnostic Substances)	Health Care	Negative	Below Normal	523
Other Consumer Services	Consumer Services	Negative	Below Normal	31
Packaged Foods	Consumer Non-Durable	Negative	Normal	31
Restaurants	Consumer Services	Neutral	Below Normal	105
Electronics Distribution	Consumer Services	Neutral	Normal	2193
Property-Casualty Insurers	Finance	Neutral	Below Normal	31

Context Analytics provides you with real-time social sentiment through our S-Score and other metrics, called S-Factors. Sentiment is gathered from Twitter using a proprietary algorithmic method to provide clean, back-testable scores on 8,000 US-traded securities (including industries, indices and sectors).

Social Market Analytics (SMA) is not an investment advisor, broker or dealer and therefore does not provide any investment advice, nor does it participate in the offer, sale or distribution of securities. Unless clearly stated otherwise, SMA is impartial and does not receive compensation for posting information regarding stocks or companies that appear on this site or in our communications.

SMA quantifies Social Media "buzz". SMA data is intended to be used by investors and traders to supplement and improve their trading strategies, by providing information to help them to make better informed decisions.

You are responsible for making your own trading and investment decisions. Our goal is to make those decisions more informed. We will not be liable for any loss or damage caused by any reliance on information obtained on our web sites or in our communications.

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