STOCKTWITS EDGE

Premarket 2024/05/28 08:55:00 EST

Madison Wray
May 28, 2024

STOCKTWITS EDGE: Premarket 2024/05/28

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
INSM	Insmed Incorporated	Extremely Positive	Extremely High	102
CALT	Calliditas Therapeutics AB	Extremely Positive	Extremely High	16
AGIO	Agios Pharmaceuticals, Inc.	Extremely Positive	Extremely High	16
OTLK	Outlook Therapeutics, Inc.	Extremely Positive	Extremely High	40
FOXO	FOXO Technologies Inc.	High Positive	Above Normal	24
AAPL	Apple Inc.	Positive	Normal	202
AMRN	Amarin Corporation plc	Positive	Normal	16
CMG	Chipotle Mexican Grill, Inc.	Positive	Normal	13
VSTM	Verastem, Inc.	Positive	Normal	87
BITF	Bitfarms Ltd.	Positive	Normal	132

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
PLCE	The Children's Place, Inc.	Negative	Normal	14
NNDM	Nano Dimension Ltd.	Negative	Normal	16
GTHX	G1 Therapeutics, Inc.	Negative	Normal	15
MOMO	Hello Group Inc.	Negative	Extremely High	19
DKNG	DraftKings Inc.	Negative	Above Normal	222
TELL	Tellurian Inc.	Negative	Normal	36
U	Unity Software Inc.	Negative	Normal	22
PLTR	Palantir Technologies Inc.	Negative	Below Normal	58
GE	General Electric Company	Negative	Above Normal	20
TSM	Taiwan Semiconductor Manufacturing Company Limited	Negative	Normal	2

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Public Utilities	Neutral	Normal	554
Transportation	Neutral	Normal	155
Finance	Neutral	Below Normal	1976
Energy	Neutral	Normal	338
Basic Industries	Neutral	Below Normal	142
Technology	Neutral	Normal	3339
Consumer Services	Neutral	Normal	5837
Miscellaneous	Neutral	Below Normal	107
Health Care	Neutral	Below Normal	2424

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Computer Manufacturing	Technology	Positive	Normal	317
Shoe Manufacturing	Consumer Non-Durable	Neutral	Normal	17
Air Freight/Delivery Services	Transportation	Neutral	Normal	99
Investment Managers	Finance	Neutral	Normal	18
Retail: Computer Software & Peripheral Equipment	Technology	Neutral	Normal	25
Integrated oil Companies	Energy	Neutral	Normal	30
Telecommunications Equipment	Public Utilities	Neutral	Normal	554
Restaurants	Consumer Services	Neutral	Normal	239
Biotechnology	Health Care	Neutral	Normal	172
Automotive Aftermarket	Consumer Durables	Neutral	Normal	20

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
RETAIL: Building Materials	Consumer Services	Negative	Normal	15
Services-Misc. Amusement & Recreation	Consumer Services	Negative	Normal	262
Catalog/Specialty Distribution	Consumer Services	Negative	Normal	239
Other Consumer Services	Consumer Services	Negative	Normal	38
Specialty Chemicals	Basic Industries	Negative	Normal	100
Computer Software: Prepackaged Software	Technology	Negative	Below Normal	538
Construction/Ag Equipment/Trucks	Capital Goods	Negative	Normal	11
Biotechnology: Commercial Physical & Biological Resarch	Health Care	Negative	Normal	17
Industrial Machinery/Components	Capital Goods	Negative	Normal	311
Property-Casualty Insurers	Finance	Negative	Below Normal	28

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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