STOCKTWITS EDGE

Premarket 2024/05/16

STOCKTWITS EDGE: Premarket 2024/05/16

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

EFOI

Energy Focus, Inc.

Extremely Positive

Extremely High

60

GOOS

Canada Goose Holdings Inc.

Extremely Positive

Extremely High

14

NICE

NICE Ltd

Extremely Positive

Extremely High

29

AWIN

AERWINS Technologies Inc.

Extremely Positive

Extremely High

552

CB

Chubb Limited

Extremely Positive

Extremely High

85

WMT

Walmart Inc.

Extremely Positive

Extremely High

216

SLNA

Selina Hospitality plc

Extremely Positive

Extremely High

946

AYTU

Aytu BioScience, Inc.

Extremely Positive

Extremely High

16

AMAT

Applied Materials, Inc.

Extremely Positive

Extremely High

34

ASTS

AST SpaceMobile, Inc.

Extremely Positive

Extremely High

730

BOTTOM S-SCORES

Ticker

Company

S-Score

S-V Score

S-Volume

DE

Deere & Company

Extremely Negative

Extremely High

70

ARBK

Argo Blockchain plc

Extremely Negative

Extremely High

14

CMCSA

Comcast Corporation

Extremely Negative

High

21

PENN

Penn National Gaming Inc.

High Negative

Normal

81

BLK

BlackRock, Inc.

High Negative

Extremely High

17

CWCO

Consolidated Water Co. Ltd.

High Negative

Extremely High

13

IZEA

IZEA Worldwide, Inc.

High Negative

Extremely High

37

RKT

Rocket Companies, Inc.

High Negative

Normal

24

EOSE

Eos Energy Enterprises, Inc.

Negative

Normal

15

NOTV

Inotiv, Inc.

Negative

Above Normal

34

SECTORS: S-SCORES

Sector

S-Score

S-V Score

S-Volume

Public Utilities

Extremely Positive

High

1060

Consumer Services

High Positive

Above Normal

41300

Finance

High Positive

Normal

9209

Capital Goods

High Positive

Above Normal

10431

Health Care

Positive

Normal

11410

Energy

Positive

Normal

1273

Technology

Positive

Normal

11715

Basic Industries

Neutral

Normal

639

Consumer Durables

Neutral

Normal

1104

INDUSTRIES: TOP 10 S-SCORES

Industry

Sector

S-Score

S-V Score

S-Volume

Building Products

Consumer Durables

Extremely Positive

Extremely High

76

Medical Appliances & Equipment

Health Care

Extremely Positive

Extremely High

533

Telecommunications Equipment

Public Utilities

Extremely Positive

Extremely High

1750

Department/Specialty Retail Stores

Consumer Services

Extremely Positive

High

608

Consumer Electronics/Video Chains

Consumer Services

Extremely Positive

High

287

Medical/Dental Instruments

Health Care

Extremely Positive

Extremely High

2521

Apparel

Consumer Non-Durable

High Positive

Extremely High

228

Biotechnology

Health Care

High Positive

Above Normal

816

Auto Manufacturing

Capital Goods

High Positive

High

8360

Movies/Entertainment

Consumer Services

High Positive

Above Normal

22520

INDUSTRIES: BOTTOM 10 S-SCORES

Industry

Sector

S-Score

S-V Score

S-Volume

Advertising

Consumer Services

Extremely Negative

High

58

Hotels/Resorts

Consumer Services

Negative

Normal

118

Transportation Services

Consumer Services

Negative

Normal

181

Medical Electronics

Health Care

Negative

Normal

27

Engineering & Construction

Capital Goods

Negative

Normal

29

Communication Equipment

Technology

Negative

Normal

619

RETAIL: Building Materials

Consumer Services

Negative

Normal

60

Water Supply

Public Utilities

Negative

Normal

19

Rental/Leasing Companies

Consumer Services

Negative

Normal

12

Metal Fabrications

Energy

Negative

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).

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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