STOCKTWITS EDGE

Premarket 2024/06/28 08:55:00 EST

Madison Wray
June 28, 2024

STOCKTWITS EDGE: Premarket 2024/06/28

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
TDY	Teledyne Technologies Inc.	Extremely Positive	Extremely High	13
KALA	Kala Pharmaceuticals, Inc.	Extremely Positive	Extremely High	170
INFN	Infinera Corporation	Extremely Positive	Extremely High	46
CYBN	Cybin Inc.	Extremely Positive	Extremely High	128
ONCO	Onconetix, Inc.	Extremely Positive	Extremely High	201
PHUN	Phunware, Inc.	Extremely Positive	Extremely High	466
ESPR	Esperion Therapeutics, Inc.	Extremely Positive	Above Normal	188
ATER	Aterian, Inc.	Extremely Positive	High	124
LCTX	Lineage Cell Therapeutics, Inc.	Extremely Positive	Extremely High	42
NVVE	Nuvve Holding Corp.	Extremely Positive	High	103

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
CNI	Canadian National Railway Company	Extremely Negative	Extremely High	15
ELAN	Elanco Animal Health Inc.	Extremely Negative	Extremely High	18
LEVI	Levi Strauss & Co.	Extremely Negative	Above Normal	73
ELTX	Elicio Therapeutics, Inc.	Extremely Negative	Extremely High	13
CHWY	Chewy, Inc.	Extremely Negative	Extremely High	1116
NKE	NIKE, Inc.	Extremely Negative	Extremely High	2015
DJT	Trump Media & Technology Group Corp.	High Negative	Extremely High	4545
UA	Under Armour, Inc.	High Negative	High	13
UAA	Under Armour, Inc.	High Negative	High	13
RCKT	Rocket Pharmaceuticals, Inc.	High Negative	Extremely High	15

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Consumer Durables	High Positive	Above Normal	968
Technology	Positive	Normal	12343
Capital Goods	Positive	Above Normal	8070
Basic Industries	Positive	Normal	416
Energy	Positive	Normal	776
Transportation	Neutral	Normal	390
Consumer Services	Neutral	Normal	11439
Public Utilities	Neutral	Normal	362
Health Care	Neutral	Above Normal	10012
Miscellaneous	Neutral	Normal	363

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Medical Electronics	Health Care	Extremely Positive	High	38
Hospital/Nursing Management	Health Care	Extremely Positive	Above Normal	18
Miscellaneous manufacturing industries	Consumer Durables	Extremely Positive	Normal	11
Home Furnishings	Consumer Services	High Positive	Above Normal	147
EDP Services	Technology	High Positive	Normal	1705
Communication Equipment	Technology	High Positive	Above Normal	527
Consumer Electronics/Appliances	Energy	High Positive	Normal	30
Wholesale Distributors	Capital Goods	High Positive	Extremely High	220
Package Goods/Cosmetics	Consumer Non-Durable	High Positive	Above Normal	51
Industrial Specialties	Health Care	High Positive	High	296

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Shoe Manufacturing	Consumer Non-Durable	Extremely Negative	Extremely High	2039
Railroads	Transportation	High Negative	Extremely High	17
Apparel	Consumer Non-Durable	High Negative	Above Normal	162
Life Insurance	Finance	High Negative	Normal	11
Plastic Products	Consumer Non-Durable	Negative	Above Normal	46
Investment Managers	Finance	Negative	Normal	34
Automotive Aftermarket	Consumer Durables	Negative	Above Normal	348
Clothing/Shoe/Accessory Stores	Consumer Services	Negative	Normal	47
Containers/Packaging	Consumer Durables	Negative	Above Normal	14
Banks	Finance	Negative	Normal	13

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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