Gap, Inc. (The) (GPS)

Industry: Clothing/Shoe/Accessory Stores

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average

Popular Topics & Highlights

... CEO. Sonia Syngel has become the new CEO of Gap Inc. in March 2020

... greater movement, last 15 minutes $NVDA +/- 1.05% NVIDIA Corporation $GPS +/- 1.02% Gap Inc. (The) $VIPS +/- 1% Vipshop Holdings Limited Ameri.. $HTZ ...

A rare good day to own retail stocks. Wednesday's biggest winners: $STNE $M ...

... a year on a compounded portfolio results trading #NASDAQ and #NYSE stocks $AMZN $BBT $ILMN $GPS $GLW #trading #stock #stocks #trade #system #strategy ...

Gap To Reopen 800 Stores By End Of May - CEO To @CNBC (via ⁦@laurenthomas⁩) $GPS

Today, we're excited to share that Gap Inc. ...

... +/- 1.16% Bed Bath & Beyond Inc. $GPS +/- 0.91% Gap Inc. (The) $SGEN +/- 0.91% Seattle Genetics Inc. $ETRN +/- 0.9% Equitrans Midstream Corporatio..

... clothing Mgmt owns more than 50% of the stock 20%+ short interest Stock still on the bottom 55%+ of their sales ...

Stocks with greater movement, last 15 minutes $NBR +/- 8.75% Nabors ...


Yesterday, Saturday, May 30, we saw neutral social sentiment for Gap, Inc. (The) (GPS). We gave it a score of 2. There was a moderate amount of activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of 10 (positive). Over the prior 14 days our AI scored an average sentiment of 14 (positive). And for the prior 30 days our social sentiment score for Gap, Inc. (The) (GPS) is 9 (neutral).


We believe social network activity can help inform investors of the positive and negative opinions people hold of a company. Social media posts are made both before and after market price fluctuations. We can make no claim of correlation or causation between market prices and social media sentiment. We make no evaluation of stock value and we can make no prediction of future prices. The information gathered on should be only one part of a broader investment strategy.

We've trained our artificial intelligence systems from past social media posts. While tests show our predictions are usually accurate to our models, a human may come to a different conclusion for some posts.