STOCKTWITS EDGE

Premarket 2024/07/29 08:55:00 EST

Madison Wray
July 29, 2024

STOCKTWITS EDGE: Premarket 2024/07/29

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
LVWR	LiveWire Group, Inc.	Extremely Positive	Extremely High	18
LIDR	AEye, Inc.	Extremely Positive	Above Normal	17
GH	Guardant Health, Inc.	Extremely Positive	Extremely High	19
AVXL	Anavex Life Sciences Corp.	Extremely Positive	Extremely High	341
BABA	Alibaba Group Holding Limited	Positive	Normal	162
VCNX	Vaccinex, Inc.	Positive	High	27
BLK	BlackRock, Inc.	Positive	Normal	17
ON	ON Semiconductor Corp.	Positive	Extremely High	41
PPBT	Purple Biotech Ltd.	Positive	Normal	22
DIDIY	DiDi Global Inc.	Positive	Normal	14

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
MCD	McDonald's Corp.	Extremely Negative	Extremely High	206
PDD	Pinduoduo Inc.	Negative	Above Normal	20
ABT	Abbott Laboratories	Negative	Above Normal	15
IOVA	Iovance Biotherapeutics, Inc.	Negative	Normal	156
MAXN	Maxeon Solar Technologies, Ltd.	Negative	Below Normal	426
INDO	Indonesia Energy Corp Ltd.	Negative	Above Normal	29
MSTR	MicroStrategy Inc.	Negative	Normal	97
NOW	ServiceNow, Inc.	Negative	Normal	15
CLSK	CleanSpark, Inc.	Negative	Normal	93
AMAT	Applied Materials, Inc.	Negative	Normal	14

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Transportation	Neutral	Below Normal	107
Consumer Durables	Neutral	Below Normal	219
Consumer Services	Neutral	Below Normal	2558
Technology	Neutral	Below Normal	3856
Capital Goods	Neutral	Below Normal	1318
Finance	Neutral	Below Normal	2911
Health Care	Neutral	Below Normal	2688
Basic Industries	Neutral	Below Normal	155
Energy	Neutral	Below Normal	276
Consumer Non-Durable	Neutral	Below Normal	265

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Misc Health and Biotechnology Services	Health Care	Extremely Positive	Above Normal	11
Nonmetallic Mineral Mining	Basic Industries	Extremely Positive	Above Normal	11
Biotechnology: Commercial Physical & Biological Resarch	Health Care	High Positive	Extremely High	350
Medical Electronics	Health Care	Positive	Normal	12
Movies/Entertainment	Consumer Services	Positive	Normal	537
Investment Managers	Finance	Neutral	Normal	25
Specialty Insurers	Finance	Neutral	Normal	16
Television Services	Consumer Services	Neutral	Normal	35
Biotechnology: In Vitro & In Vivo Diagnostic Substances	Health Care	Neutral	Normal	28
Communication Equipment	Technology	Neutral	Below Normal	63

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Coal Mining	Energy	Extremely Negative	High	12
REIT - Office	Finance	High Negative	Extremely High	40
Professional Services	Technology	Negative	Below Normal	12
Restaurants	Consumer Services	Negative	Normal	466
Biotechnology	Health Care	Negative	Below Normal	130
Computer Software: Programming, Data Processing	Technology	Negative	Normal	411
Electric Utilities: Central	Public Utilities	Negative	Normal	17
Industrial Specialties	Health Care	Negative	Below Normal	32
Major Banks	Finance	Neutral	Normal	116
Natural Gas Distribution	Public Utilities	Neutral	Normal	20

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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