STOCKTWITS EDGE REPORT

Premarket 2024/10/15 08:55:00 EST

STOCKTWITS EDGE: Premarket 2024/10/15

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

VNDA

Vanda Pharmaceuticals, Inc.

Extremely Positive

Extremely High

185

RILY

B. Riley Financial, Inc.

Extremely Positive

Extremely High

635

PIXY

ShiftPixt, Inc.

Extremely Positive

Extremely High

217

ZPTA

Zapata Computing Holdings Inc.

Extremely Positive

Extremely High

187

UPST

Upstart Holdings, Inc.

Extremely Positive

Extremely High

341

PHUN

Phunware, Inc.

Extremely Positive

Extremely High

287

PNC

The PNC Financial Services Group, Inc.

Extremely Positive

Extremely High

22

GS

The Goldman Sachs Group, Inc.

Extremely Positive

Extremely High

108

WOLF

Wolfspeed, Inc.

Extremely Positive

High

300

JNJ

Johnson & Johnson

Extremely Positive

Extremely High

66

BOTTOM S-SCORES

Ticker

Company

S-Score

S-V Score

S-Volume

INDI

Indie Semiconductor, Inc.

High Negative

High

15

PARA

Paramount Global

High Negative

Above Normal

92

PARAA

Paramount Global

High Negative

Above Normal

92

MPW

Medical Properties Trust Inc.

High Negative

Extremely High

109

BCRX

BioCryst Pharmaceuticals, Inc.

High Negative

Normal

17

HUT

Hut 8 Corp.

High Negative

Normal

29

PSNL

Personalis, Inc.

Negative

High

13

EOSE

Eos Energy Enterprises, Inc.

Negative

Normal

19

DGLY

Digital Ally Inc.

Negative

Extremely High

20

GERN

Geron Corporation

Negative

High

14

SECTORS: S-SCORES

Sector

S-Score

S-V Score

S-Volume

Finance

Positive

Above Normal

6294

Technology

Positive

Normal

20306

Public Utilities

Positive

Above Normal

659

Consumer Non-Durable

Neutral

Normal

832

Health Care

Neutral

Normal

7126

Miscellaneous

Neutral

Normal

351

Capital Goods

Neutral

Normal

4597

Transportation

Neutral

Normal

363

Consumer Services

Neutral

Normal

4958

Energy

Neutral

Normal

983

INDUSTRIES: TOP 10 S-SCORES

Industry

Sector

S-Score

S-V Score

S-Volume

Investment Managers

Finance

Extremely Positive

Extremely High

675

Nonmetallic Mineral Mining

Basic Industries

Extremely Positive

Extremely High

133

Major Banks

Finance

Extremely Positive

High

390

Diversified Commercial Services

Consumer Services

Extremely Positive

Extremely High

234

Recreational Products/Toys

Consumer Non-Durable

Extremely Positive

Extremely High

178

Medical Appliances & Equipment

Health Care

Extremely Positive

High

27

Clothing/Shoe/Accessory Stores

Consumer Services

High Positive

Normal

59

Consumer Electronics/Video Chains

Consumer Services

High Positive

Normal

183

Water Supply

Public Utilities

High Positive

Above Normal

11

Power Generation

Public Utilities

High Positive

Above Normal

116

INDUSTRIES: BOTTOM 10 S-SCORES

Industry

Sector

S-Score

S-V Score

S-Volume

Broadcasting

Consumer Services

High Negative

Above Normal

295

Metal Fabrications

Energy

Negative

Normal

59

Computer Communications Equipment

Technology

Negative

Normal

58

Oil Refining/Marketing

Transportation

Negative

Above Normal

17

Electronic Components

Technology

Negative

Normal

48

Life Insurance

Finance

Negative

Above Normal

17

Automotive Aftermarket

Consumer Durables

Negative

Normal

125

Advertising

Consumer Services

Negative

Above Normal

21

Precious Metals

Basic Industries

Negative

Normal

202

Computer peripheral equipment

Technology

Negative

Normal

32

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).

Copyright©2016 Social Market Analytics all rights reserved.

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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