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STOCKTWITS EDGE REPORT

STOCKTWITS EDGE REPORT

Premarket 2024/04/02 08:55:00 EST

Madison Wray
September 30, 2024

STOCKTWITS EDGE: Premarket 2024/04/02

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
TTEC	TTEC Holdings, Inc.	Extremely Positive	Extremely High	45
PRME	Prime Medicine, Inc.	Extremely Positive	Extremely High	61
CMTL	Comtech Telecommunications Corp.	Extremely Positive	Normal	20
EMKR	EMCORE Corporation	Extremely Positive	Extremely High	66
JD	JD.com, Inc.	Extremely Positive	Normal	187
NIO	NIO Inc.	Extremely Positive	High	1309
ZCMD	Zhongchao Inc.	High Positive	High	70
MTC	MMTec, Inc.	High Positive	Above Normal	27
BZUN	Baozun Inc.	High Positive	Normal	16
KLXE	KLX Energy Services Holdings, Inc.	High Positive	High	17

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
FUTU	Futu Holdings Limited	Extremely Negative	High	23
STLA	Stellantis N.V.	High Negative	Extremely High	58
SICPQ	Silvergate Capital Corporation	Negative	Normal	14
PDSB	PDS Biotechnology Corp.	Negative	Above Normal	33
SEDG	SolarEdge Technologies, Inc.	Negative	Normal	109
COST	Costco Wholesale Corporation	Negative	Normal	29
APLD	Applied Digital Corporation	Negative	Below Normal	65
EBS	Emergent BioSolutions, Inc.	Negative	Normal	27
SOUN	SoundHound AI, Inc.	Negative	Below Normal	17
UXIN	Uxin Ltd	Negative	Normal	100

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Transportation	Neutral	Normal	102
Technology	Neutral	Below Normal	5663
Energy	Neutral	Below Normal	289
Consumer Non-Durable	Neutral	Below Normal	210
Capital Goods	Neutral	Normal	2688
Consumer Services	Neutral	Below Normal	2559
Miscellaneous	Neutral	Normal	303
Finance	Neutral	Below Normal	926
Consumer Durables	Neutral	Below Normal	80
Basic Industries	Negative	Below Normal	303

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Other Specialty Stores	Consumer Services	High Positive	Normal	234
Hotels/Resorts	Consumer Services	High Positive	Normal	60
Beverages (Production/Distribution)	Consumer Non-Durable	Positive	Normal	45
Oilfield Services/Equipment	Energy	Positive	Normal	30
Oil & Gas Production	Energy	Neutral	Normal	139
Apparel	Consumer Non-Durable	Neutral	Normal	36
Computer Software: Programming, Data Processing	Technology	Neutral	Below Normal	2043
Auto Manufacturing	Capital Goods	Neutral	Normal	2155
Construction/Ag Equipment/Trucks	Capital Goods	Neutral	Normal	24
Catalog/Specialty Distribution	Consumer Services	Neutral	Normal	626

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Department/Specialty Retail Stores	Consumer Services	Negative	Normal	67
Shoe Manufacturing	Consumer Non-Durable	Negative	Normal	42
Biotechnology	Health Care	Negative	Below Normal	289
Electric Utilities: Central	Public Utilities	Negative	Normal	15
Retail: Computer Software & Peripheral Equipment	Technology	Negative	Normal	21
Major Pharmaceuticals	Health Care	Neutral	Below Normal	1144
Telecommunications Equipment	Public Utilities	Neutral	Below Normal	225
Semiconductors	Technology	Neutral	Below Normal	1375
Major Chemicals	Basic Industries	Neutral	Below Normal	112
Medical/Dental Instruments	Health Care	Neutral	Below Normal	54

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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