Context Analytics
Posts
StockTwits Edge Report

StockTwits Edge Report

Premarket 2024/09/26 08:55:00 EST

Madison Wray
September 26, 2024

STOCKTWITS EDGE: Premarket 2024/09/26

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
MU	Micron Technology, Inc.	Extremely Positive	Extremely High	2053
JBL	Jabil Inc.	Extremely Positive	Extremely High	48
PGY	Pagaya Technologies Ltd.	Extremely Positive	Extremely High	80
HG	Hamilton Insurance Group, Ltd.	Extremely Positive	Extremely High	15
LSPD	Lightspeed Commerce Inc.	Extremely Positive	Extremely High	109
LRCX	Lam Research Corporation	Extremely Positive	Extremely High	62
NNDM	Nano Dimension Ltd.	Extremely Positive	Extremely High	332
ACN	Accenture plc	Extremely Positive	Extremely High	51
MDAI	Spectral AI, Inc.	Extremely Positive	High	79
RKLB	Rocket Lab USA, Inc.	Extremely Positive	Extremely High	524

BOTTOM S-SCORES

Ticker	Company	S-Score	S-V Score	S-Volume
SFIX	Stitch Fix, Inc.	Extremely Negative	Extremely High	96
CNXC	Concentrix Corporation	Extremely Negative	Extremely High	29
QURE	Uniqure NV	Extremely Negative	Extremely High	17
TMDIF	Titan Medical Inc.	Extremely Negative	Normal	16
NKLA	Nikola Corporation	Extremely Negative	High	125
VCNX	Vaccinex, Inc.	High Negative	High	57
LUV	Southwest Airlines Co.	High Negative	Extremely High	51
SIGA	SIGA Technologies, Inc.	High Negative	Extremely High	52
NFE	New Fortress Energy Inc.	High Negative	Normal	19
SCLX	Scilex Holding Company	High Negative	Above Normal	60

SECTORS: S-SCORES

Sector	S-Score	S-V Score	S-Volume
Technology	High Positive	Above Normal	15270
Finance	High Positive	Normal	10553
Capital Goods	High Positive	Above Normal	5271
Consumer Non-Durable	Positive	Normal	829
Transportation	Positive	Normal	460
Miscellaneous	Neutral	Normal	564
Public Utilities	Neutral	Normal	441
Health Care	Neutral	Above Normal	8955
Energy	Neutral	Above Normal	928
Basic Industries	Neutral	Normal	726

INDUSTRIES: TOP 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Electrical Products	Technology	Extremely Positive	Extremely High	394
Aerospace	Capital Goods	Extremely Positive	High	1076
Semiconductors	Technology	Extremely Positive	Above Normal	7069
Coal Mining	Energy	Extremely Positive	High	11
Services-Misc. Amusement & Recreation	Consumer Services	Extremely Positive	High	458
Computer peripheral equipment	Technology	High Positive	Extremely High	182
Business Services	Miscellaneous	High Positive	Normal	9620
Restaurants	Consumer Services	High Positive	Normal	427
Recreational Products/Toys	Consumer Non-Durable	Positive	Normal	43
Computer Software: Programming, Data Processing	Technology	Positive	Above Normal	1441

INDUSTRIES: BOTTOM 10 S-SCORES

Industry	Sector	S-Score	S-V Score	S-Volume
Oil/Gas Transmission	Public Utilities	High Negative	Normal	25
Movies/Entertainment	Consumer Services	Negative	Above Normal	1487
Consumer Specialties	Consumer Services	Negative	Normal	15
Wholesale Distributors	Capital Goods	Negative	Normal	36
Other Pharmaceuticals	Health Care	Negative	Above Normal	16
Medical/Nursing Services	Health Care	Negative	Above Normal	275
Home Furnishings	Consumer Services	Negative	Normal	38
Medical Specialities	Health Care	Negative	Normal	232
Medical Electronics	Health Care	Negative	Normal	17
Professional Services	Technology	Negative	Normal	349

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.

Reply

or to participate.