STOCKTWITS EDGE

Premarket 2024/06/05 08:55:00 EST

Madison Wray
June 05, 2024

STOCKTWITS EDGE: Premarket 2024/06/05

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
MLGO	MicroAlgo Inc.	Extremely Positive	Extremely High	3771
DDD	3D Systems Corporation	Extremely Positive	Extremely High	36
HPE	Hewlett Packard Enterprise Company	Extremely Positive	Extremely High	255
WIMI	WiMi Hologram Cloud Inc.	Extremely Positive	Extremely High	520
NVVE	Nuvve Holding Corp.	Extremely Positive	Extremely High	54
SFIX	Stitch Fix, Inc.	Extremely Positive	Extremely High	77
ACET	Adicet Bio, Inc.	Extremely Positive	Extremely High	31
TSCO	Tractor Supply Company	Extremely Positive	High	17
HBI	Hanesbrands Inc.	Extremely Positive	Extremely High	16
CRWD	CrowdStrike Holdings, Inc.	Extremely Positive	Extremely High	1052

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
SPWH	Sportsman's Warehouse Holdings, Inc.	Extremely Negative	Extremely High	17
MRIN	Marin Software Incorporated	Extremely Negative	Extremely High	57
AX	Axos Financial Inc	Extremely Negative	Extremely High	52
MDXG	MiMedx Group, Inc.	Extremely Negative	High	13
DLTR	Dollar Tree, Inc.	Extremely Negative	Extremely High	79
LICY	Li-Cycle Holdings Corp.	Extremely Negative	High	16
RBLX	Roblox Corp	High Negative	Normal	14
JBLU	JetBlue Airways Corporation	High Negative	Normal	16
POWL	Powell Industries, Inc.	High Negative	High	17
OSCR	Oscar Health Inc.	High Negative	Above Normal	15

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Finance	High Positive	High	15535
Technology	High Positive	Normal	14241
Energy	Neutral	Above Normal	1082
Consumer Non-Durable	Neutral	Normal	727
Health Care	Neutral	Normal	8942
Public Utilities	Neutral	Normal	544
Consumer Durables	Neutral	Normal	680
Capital Goods	Neutral	Normal	5139
Consumer Services	Neutral	Normal	14606

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Retail: Computer Software & Peripheral Equipment	Technology	Extremely Positive	Extremely High	348
Industrial Specialties	Health Care	High Positive	Above Normal	194
Business Services	Miscellaneous	High Positive	High	14008
Computer Software: Prepackaged Software	Technology	High Positive	Above Normal	4205
Computer Manufacturing	Technology	High Positive	Normal	1099
Specialty Foods	Consumer Non-Durable	High Positive	Normal	11
Commercial Banks	Finance	High Positive	Above Normal	30
Homebuilding	Capital Goods	Positive	Normal	37
RETAIL: Building Materials	Consumer Services	Positive	Normal	39
Multimedia & Graphics Software	Finance	Positive	High	12

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Savings Institutions	Finance	Extremely Negative	Extremely High	63
Trucking Freight/Courier Services	Transportation	High Negative	High	32
Gold	Health Care	High Negative	Extremely High	17
Coal Mining	Energy	High Negative	Normal	13
Construction/Ag Equipment/Trucks	Capital Goods	Negative	Above Normal	30
Engineering & Construction	Capital Goods	Negative	Above Normal	41
Mining & Quarrying of Nonmetallic Minerals (No Fuels)	Basic Industries	Negative	Normal	18
Consumer Electronics/Appliances	Energy	Negative	Normal	49
Hotels/Resorts	Consumer Services	Negative	Normal	106
Medical Specialities	Health Care	Negative	Normal	258

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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