STOCKTWITS EDGE

Premarket 2024/07/01 08:55:00 EST

Madison Wray
July 01, 2024

STOCKTWITS EDGE: Premarket 2024/07/01

08:55:00 EST

This Context Analytics early STOCKTWITS EDGE Report highlights stocks, sectors, and industries with 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
CSLR	Complete Solaria, Inc.	Extremely Positive	Extremely High	123
LGHL	Lion Group Holding Ltd.	Extremely Positive	Extremely High	80
SPR	Spirit AeroSystems Holdings, Inc.	Extremely Positive	High	71
SNTI	Senti Biosciences, Inc.	Extremely Positive	Above Normal	52
BIOR	Biora Therapeutics, Inc.	High Positive	Normal	15
TNXP	Tonix Pharmaceuticals Holding Corp.	High Positive	Normal	73
GS	The Goldman Sachs Group, Inc.	High Positive	Normal	17
JPM	JPMorgan Chase & Co.	Positive	Normal	20
NKLA	Nikola Corporation	Positive	Normal	46
CEI	Camber Energy, Inc.	Positive	Normal	13

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
CSCO	Cisco Systems, Inc.	High Negative	Normal	13
ATNM	Actinium Pharmaceuticals, Inc.	High Negative	Normal	22
CHWY	Chewy, Inc.	High Negative	Above Normal	583
AMRN	Amarin Corporation plc	Negative	Normal	16
TELL	Tellurian Inc.	Negative	Normal	41
ANVS	Annovis Bio, Inc.	Negative	Normal	53
GOOG	Alphabet Inc.	Negative	Normal	45
GOOGL	Alphabet Inc.	Negative	Normal	45
SAVA	Cassava Sciences, Inc.	Negative	Normal	543
RUM	Rumble Inc.	Negative	Normal	33

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Capital Goods	Neutral	Normal	1685
Consumer Non-Durable	Neutral	Normal	515
Miscellaneous	Neutral	Below Normal	92
Finance	Neutral	Below Normal	2526
Transportation	Neutral	Normal	94
Consumer Durables	Neutral	Below Normal	167
Basic Industries	Neutral	Below Normal	124
Public Utilities	Neutral	Below Normal	97
Consumer Services	Neutral	Normal	3774
Health Care	Negative	Below Normal	2561

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Biotechnology: Laboratory Analytical Instruments	Capital Goods	High Positive	Below Normal	14
Military/Government/Technical	Capital Goods	Positive	Normal	78
RETAIL: Building Materials	Consumer Services	Positive	Normal	14
Consumer Electronics/Video Chains	Consumer Services	Neutral	Normal	43
Shoe Manufacturing	Consumer Non-Durable	Neutral	Normal	358
Biotechnology: In Vitro & In Vivo Diagnostic Substances	Health Care	Neutral	Normal	21
Services-Misc. Amusement & Recreation	Consumer Services	Neutral	Normal	109
Medical/Nursing Services	Health Care	Neutral	Normal	91
Building Products	Consumer Durables	Neutral	Normal	16
Home Furnishings & Fixtures	Consumer Durables	Neutral	Normal	12

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Computer Communications Equipment	Technology	High Negative	Normal	27
Catalog/Specialty Distribution	Consumer Services	Negative	Normal	827
Integrated oil Companies	Energy	Negative	Below Normal	29
Computer Software: Programming, Data Processing	Technology	Negative	Below Normal	233
Major Pharmaceuticals	Health Care	Negative	Below Normal	1643
Oil & Gas Production	Energy	Negative	Below Normal	127
Radio And Television Broadcasting And Communications Equipment	Technology	Negative	Normal	43
Computer peripheral equipment	Technology	Negative	Normal	18
Medical Specialities	Health Care	Negative	Below Normal	60
Semiconductors	Technology	Neutral	Below Normal	1248

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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