STOCKTWITS EDGE

Premarket 2024/05/04 08:55:00 EST

Madison Wray
June 04, 2024

STOCKTWITS EDGE: Premarket 2024/05/04

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
ALBT	Avalon GloboCare Corp.	Extremely Positive	Extremely High	342
CAMP	CalAmp Corp.	Extremely Positive	Extremely High	24
FRES	Fresh2 Group Limited	Extremely Positive	Extremely High	19
ANNX	Annexon, Inc.	Extremely Positive	Extremely High	174
EQ	Equilium, Inc.	Extremely Positive	Extremely High	28
AFMD	Affimed NV	Extremely Positive	Extremely High	220
FGEN	FibroGen Inc	Extremely Positive	Extremely High	100
DCI	Donaldson Company, Inc.	Extremely Positive	Extremely High	16
MRIN	Marin Software Incorporated	Extremely Positive	Extremely High	48
MBOT	Microbot Medical Inc.	Extremely Positive	Extremely High	410

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
DBI	Designer Brands Inc.	Extremely Negative	Extremely High	20
GTLB	Gitlab Inc.	Extremely Negative	Extremely High	317
MS	Morgan Stanley	Extremely Negative	Extremely High	106
GME	GameStop Corp.	Extremely Negative	High	12102
BBWI	Bath & Body Works, Inc.	Extremely Negative	Extremely High	58
PAYC	Paycom Software, Inc.	Extremely Negative	Above Normal	15
MARA	Marathon Digital Holdings, Inc.	Extremely Negative	High	511
HAL	Halliburton Company	Extremely Negative	Extremely High	15
SMG	The Scotts Miracle-Gro Company	Extremely Negative	Extremely High	20
FERG	Ferguson plc	Extremely Negative	Extremely High	13

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Health Care	Neutral	Normal	9979
Consumer Non-Durable	Neutral	Normal	610
Energy	Neutral	Normal	1002
Technology	Neutral	Normal	11214
Capital Goods	Neutral	Normal	4777
Miscellaneous	Neutral	Normal	278
Finance	Neutral	Normal	8080
Transportation	Neutral	Normal	438
Public Utilities	Neutral	Normal	536

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Pollution Control Equipment	Capital Goods	Extremely Positive	Extremely High	16
Professional Services	Technology	Extremely Positive	Extremely High	357
Real Estate Investment Trusts	Consumer Services	Extremely Positive	Above Normal	241
Natural Gas Distribution	Public Utilities	High Positive	Normal	39
Aerospace	Capital Goods	Positive	Normal	249
Specialty Insurers	Finance	Positive	Above Normal	13
Home Furnishings	Consumer Services	Positive	Normal	35
Major Banks	Finance	Positive	Above Normal	312
Misc Health and Biotechnology Services	Health Care	Positive	Extremely High	33
Retail: Computer Software & Peripheral Equipment	Technology	Positive	Normal	106

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Savings Institutions	Finance	Extremely Negative	Extremely High	38
Electronics Distribution	Consumer Services	Extremely Negative	High	12102
EDP Services	Technology	Negative	Above Normal	2013
Oilfield Services/Equipment	Energy	Negative	High	86
Investment Bankers/Brokers/Service	Finance	Negative	Above Normal	1118
Agricultural Chemicals	Basic Industries	Negative	Above Normal	24
Industrial Specialties	Health Care	Negative	Normal	86
Power Generation	Public Utilities	Negative	Above Normal	30
Movies/Entertainment	Consumer Services	Negative	Normal	7335
Biotechnology: Commercial Physical & Biological Resarch	Health Care	Negative	Normal	59

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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