STOCKTWITS EDGE

Premarket 2024/07/18 08:55:00 EST

Madison Wray
July 18, 2024

STOCKTWITS EDGE: Premarket 2024/07/18

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
INFY	Infosys Limited	Extremely Positive	Extremely High	17
SDST	Stardust Power Inc.	Extremely Positive	Extremely High	404
ONCO	Onconetix, Inc.	Extremely Positive	Extremely High	139
NKGN	NKGen Biotech, Inc.	Extremely Positive	Extremely High	59
MMV	MultiMetaVerse Holdings Limited	Extremely Positive	Extremely High	33
MRNS	Marinus Pharmaceuticals Inc	Extremely Positive	Extremely High	19
EVLV	Evolv Technologies Holdings, Inc.	Extremely Positive	Extremely High	31
SCHW	The Charles Schwab Corporation	Extremely Positive	High	172
APVO	Aptevo Therapeutics Inc.	Extremely Positive	Extremely High	557
DRI	Darden Restaurants, Inc.	Extremely Positive	Extremely High	14

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
BYND	Beyond Meat, Inc. (BYND)	Extremely Negative	Extremely High	560
LICY	Li-Cycle Holdings Corp.	Extremely Negative	Extremely High	15
SNAP	Snap Inc	Extremely Negative	Extremely High	108
OZK	Bank OZK	High Negative	Extremely High	19
CCI	Crown Castle International Corp.	High Negative	Extremely High	18
OCGN	Ocugen, Inc.	High Negative	Normal	163
EVGO	EVgo Inc.	High Negative	Normal	24
JPM	JPMorgan Chase & Co.	High Negative	Normal	52
SPCE	Virgin Galactic	High Negative	Normal	66
MULN	Mullen Automotive, Inc.	High Negative	Above Normal	635

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Consumer Durables	Positive	Above Normal	872
Energy	Positive	Above Normal	999
Finance	Positive	Normal	9247
Capital Goods	Positive	Normal	4430
Health Care	Neutral	Normal	8965
Technology	Neutral	Above Normal	17975
Public Utilities	Neutral	Normal	473
Basic Industries	Neutral	Normal	529
Miscellaneous	Neutral	Normal	292
Consumer Services	Neutral	Normal	8258

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Food Distributors	Consumer Non-Durable	Extremely Positive	Extremely High	83
Farming/Seeds/Milling	Consumer Non-Durable	Extremely Positive	High	167
Banks	Finance	Extremely Positive	Above Normal	23
Package Goods/Cosmetics	Consumer Non-Durable	High Positive	Extremely High	105
Life Insurance	Finance	High Positive	High	36
Electric Utilities: Central	Public Utilities	High Positive	High	193
Restaurants	Consumer Services	High Positive	Normal	580
Computer peripheral equipment	Technology	High Positive	Above Normal	81
Marine Transportation	Capital Goods	High Positive	Normal	239
Investment Bankers/Brokers/Service	Finance	High Positive	Above Normal	990

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Packaged Foods	Consumer Non-Durable	Extremely Negative	Extremely High	610
Transportation Services	Consumer Services	High Negative	Normal	79
Wholesale Distributors	Capital Goods	Negative	Normal	34
Investment Managers	Finance	Negative	Above Normal	76
Movies/Entertainment	Consumer Services	Negative	Normal	1241
Precious Metals	Basic Industries	Negative	Normal	222
Radio And Television Broadcasting And Communications Equipment	Technology	Negative	Above Normal	158
Medical Electronics	Health Care	Negative	Normal	25
Steel/Iron Ore	Basic Industries	Negative	High	28
Trucking Freight/Courier Services	Transportation	Negative	Above Normal	46

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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