Alphabet Inc. (GOOGL)

Industry: Computer Software: Programming, Data Processing

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average
Activity

Popular Topics & Highlights

... 2008... $MSFT: -44% $AAPL: -57% $GOOGL: -56% $AMZN: -45% $QQQ: -42% YTD returns in 2020... $MSFT: +17% $AAPL: +9% $GOOGL: +5% $AMZN: +32% $QQQ: +8%

Big tech returns in 2008: $MSFT: -44% $AAPL: -57% $GOOGL: -56% $AMZN: -45% $QQQ: -42% YTD returns in 2020: $MSFT: +17% $AAPL: +9% $GOOGL: +5% $AMZN: +32% $QQQ: ...

... List, 5/24: $DDOG $GOOGL $TTD $AMD $CHWY $TSLA Following charts courtesy of ...

After FB-Jio deal, Google to take Voda Idea ...

... see @BillGates buying $AAPL $AMZN $BABA $GOOG $GOOGL & $TWTR . All most probably ...

... than that $OTC $ALPP $GRFN $SFOR $AAPL $MSFT $AMZN $FB $GOOGL $TSLA $AMD $SPY $DJI ...

Alphabet Inc.'s Google is considering acquiring ...

... 3091.75. Above it we have 3117 and 3175 $SPY $SPX $QQQ $NDX $IWM $AAPL $NFLX $GOOGL ...

#Google Goes #Blockchain? New Deal Opens A Door ...

... #daytrading #swingtrading $SPY $AAPL $AMZN $GOOGL $NFLX $FB $ABIO #HX

Analysis

Yesterday, Saturday, May 30, we saw positive social sentiment for Alphabet Inc. (GOOGL). We gave it a score of 12. There was little activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of 15 (positive). Over the prior 14 days our AI scored an average sentiment of 21 (positive). And for the prior 30 days our social sentiment score for Alphabet Inc. (GOOGL) is 16 (positive).

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.