Amazon.com, Inc. (AMZN)

Industry: Catalog/Specialty Distribution

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average
Activity

Popular Topics & Highlights

... rate than firefighters and teachers. It's time for Amazon to pay its fair share.

... Places my 3rd order from Amazon for the day.

... DOWNLOAD AND GET TRADING 212 RIGHT HERE TODAY FOR 20% OFF THE COURSES TO BECOME AN ...

$AMZN $MELI $BYND $SHOP $FB $AAPL $SPX $ZM $NVDA $LRCX $MA $BA $V $URI and ...

... sales up 141% Walmart: online sales up 74%, stock at record high Amazon: sales up 26%, stock at record high Facebook: adds shopping, stock at record high Small businesses: down ...

... to justice! #PonmagalVandhal on amazon prime, May 29 #Jyotika @Suriya_offl ...

Buy local. Your local business needs your ...

Get yourself the chance to win a signed copy of best seller ...

... Those wage increases are due to expire in a week.

... week.. Next week is setting up to make a big move.. I will be posting more charts and my ...

Analysis

Yesterday, Saturday, May 30, we saw neutral social sentiment for Amazon.com, Inc. (AMZN). We gave it a score of 6. There was a significant amount of activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of -1 (neutral). Over the prior 14 days our AI scored an average sentiment of 9 (neutral). And for the prior 30 days our social sentiment score for Amazon.com, Inc. (AMZN) is 2 (neutral).

Disclaimer

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 SocialSentiment.io 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.