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STOCKTWITS EDGE REPORT

STOCKTWITS EDGE REPORT

STOCKTWITS EDGE: Premarket 2024/10/14 08:55:00 EST

Madison Wray
October 14, 2024

STOCKTWITS EDGE: Premarket 2024/10/14

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
LBPH	Longboard Pharmaceuticals, Inc.	Extremely Positive	Extremely High	43
IVA	Inventiva S.A.	Extremely Positive	Extremely High	36
TVGN	Tevogen Bio Holdings Inc.	High Positive	High	158
MNKD	MannKind Corp.	High Positive	Below Normal	18
LILM	Lilium N.V.	High Positive	Normal	27
PHUN	Phunware, Inc.	High Positive	Normal	43
HIMS	Hims & Hers Health, Inc.	High Positive	Normal	84
GS	The Goldman Sachs Group, Inc.	High Positive	High	27
SOFI	SoFi Technologies, Inc.	High Positive	Normal	324
CERS	Cerus Corporation	Positive	Above Normal	25

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
CETX	Cemtrex Inc.	High Negative	Normal	516
BA	The Boeing Company	Negative	Normal	157
RILY	B. Riley Financial, Inc.	Negative	Extremely High	195
MRNA	Moderna, Inc.	Negative	Normal	13
GEVO	Gevo, Inc.	Negative	Below Normal	36
CVNA	Carvana Co.	Negative	Normal	32
AMD	Advanced Micro Devices, Inc.	Negative	Normal	106
CLSK	CleanSpark, Inc.	Negative	Normal	58
ZPTA	Zapata Computing Holdings Inc.	Negative	Above Normal	26
PSNY	Polestar Automotive Holding UK PLC	Negative	Below Normal	29

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Transportation	Neutral	Normal	107
Consumer Services	Neutral	Below Normal	1777
Health Care	Neutral	Below Normal	1948
Finance	Neutral	Normal	1558
Technology	Neutral	Below Normal	5955
Consumer Non-Durable	Neutral	Below Normal	140
Capital Goods	Neutral	Below Normal	2006
Energy	Neutral	Normal	348
Miscellaneous	Neutral	Below Normal	104
Public Utilities	Negative	Below Normal	118

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Medical/Nursing Services	Health Care	Positive	Normal	127
Movies/Entertainment	Consumer Services	Positive	Below Normal	366
Broadcasting	Consumer Services	Positive	Normal	122
Biotechnology: Electromedical & Electrotherapeutic Apparatus	Health Care	Neutral	Below Normal	12
Transportation Services	Consumer Services	Neutral	Normal	141
Consumer Electronics/Video Chains	Consumer Services	Neutral	Normal	112
Electronic Components	Technology	Neutral	Below Normal	11
Computer Manufacturing	Technology	Neutral	Normal	199
Major Banks	Finance	Neutral	Normal	118
Investment Bankers/Brokers/Service	Finance	Neutral	Normal	137

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Electrical Products	Technology	High Negative	Normal	554
Investment Managers	Finance	Negative	High	207
Telecommunications Equipment	Public Utilities	Negative	Below Normal	139
Commercial Banks	Finance	Negative	Normal	19
Automotive Aftermarket	Consumer Durables	Negative	Normal	34
Construction/Ag Equipment/Trucks	Capital Goods	Negative	Normal	14
Business Services	Miscellaneous	Negative	Below Normal	375
Industrial Specialties	Health Care	Negative	Below Normal	29
Aerospace	Capital Goods	Negative	Normal	211
Precious Metals	Basic Industries	Negative	Below Normal	98

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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