STOCKTWITS EDGE

Premarket 2024/06/24 08:55:00 EST

Madison Wray
June 24, 2024

STOCKTWITS EDGE: Premarket 2024/06/24

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
ALIM	Alimera Sciences, Inc.	Extremely Positive	Extremely High	31
RGLS	Regulus Therapeutics Inc.	Extremely Positive	Extremely High	31
ALNY	Alnylam Pharmaceuticals, Inc.	Extremely Positive	Extremely High	34
NNVC	NanoViricides, Inc.	High Positive	Above Normal	26
SQ	Block, Inc.	High Positive	Normal	13
HTZ	Hertz Global Holdings, Inc.	High Positive	Normal	21
IBRX	ImmunityBio, Inc.	Positive	Normal	180
EDSA	Edesa Biotech, Inc.	Positive	Normal	17
SAVA	Cassava Sciences, Inc.	Positive	Normal	17
BAC	Bank of America Corporation	Positive	Normal	13

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
EFTR	eFFECTOR Therapeutics, Inc.	Extremely Negative	Extremely High	33
NRBO	NeuroBo Pharmaceuticals, Inc.	Extremely Negative	Extremely High	23
HUBC	HUB Cyber Security Ltd.	High Negative	Normal	18
RMD	ResMed Inc.	High Negative	Extremely High	15
FDX	FedEx Corporation	Negative	High	24
CGC	Canopy Growth Corporation	Negative	Normal	23
GTHX	G1 Therapeutics, Inc.	Negative	Extremely High	54
SNOW	Snowflake Inc.	Negative	Normal	22
QCOM	QUALCOMM Incorporated	Negative	Normal	61
BIDU	Baidu, Inc.	Negative	Normal	35

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Consumer Services	Neutral	Normal	3151
Consumer Non-Durable	Neutral	Normal	216
Basic Industries	Neutral	Below Normal	137
Energy	Neutral	Below Normal	196
Capital Goods	Neutral	Below Normal	1216
Finance	Neutral	Below Normal	2361
Health Care	Neutral	Below Normal	2917
Public Utilities	Neutral	Below Normal	55
Technology	Neutral	Below Normal	4159
Transportation	Neutral	Below Normal	95

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Rental/Leasing Companies	Consumer Services	High Positive	Normal	22
Data Storage Devices	Technology	Positive	Above Normal	11
Shoe Manufacturing	Consumer Non-Durable	Positive	Above Normal	44
Ordnance And Accessories	Capital Goods	Positive	Normal	15
Consumer Electronics/Video Chains	Consumer Services	Neutral	Normal	50
Medical Specialities	Health Care	Neutral	Normal	178
Electronics Distribution	Consumer Services	Neutral	Normal	1302
Biotechnology	Health Care	Neutral	Above Normal	658
Integrated oil Companies	Energy	Neutral	Normal	32
Major Banks	Finance	Neutral	Below Normal	53

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Military/Government/Technical	Capital Goods	High Negative	Normal	30
Specialty Chemicals	Basic Industries	Negative	Below Normal	102
Aerospace	Capital Goods	Negative	Normal	180
Electric Utilities: Central	Public Utilities	Negative	Normal	11
Electronic Components	Capital Goods	Negative	Normal	54
Medical Appliances & Equipment	Health Care	Negative	Normal	45
Real Estate	Finance	Negative	Normal	32
Oil & Gas Production	Energy	Negative	Below Normal	73
Computer Software: Programming, Data Processing	Technology	Negative	Below Normal	226
Real Estate Investment Trusts	Consumer Services	Negative	Normal	64

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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