Chevron Corporation (CVX)

Industry: Integrated oil Companies

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average

Popular Topics & Highlights

... may be a polluting, human rights abusing climate wrecker, but maybe thats just the price ...

... message tell @conocophillips, @Chevron and @exxonmobil: Stay out!

... some tax, clean up your mess, and shut down oil and gas extraction before the planet ...

.@blackrock needs to vote the right way on @Chevron ...

... @ExxonMobil and @Chevron AGM this year #BLKHotAirOnClimate #BLKBigProblem #StopTheMoneyPipeline #DefundClimateChange #EndFossilFinance

... later this month. #BLKHotAirOnClimate #BLKBigProblem #StopTheMoneyPipeline #DefundClimateChange #EndFossilFinance

... #BLKHotAirOnClimate #BLKBigProblem #StopTheMoneyPipeline #DefundClimateChange #EndFossilFinance

... words: vote the right way on key climate votes @Chevron and @ExxonMobil later this ...

... struggling, a Dow laggard... but superior to $XOM

... #larryfink needs to back his climate letter and vote for climate future at @ExxonMobil and ...


Yesterday, Saturday, May 30, we saw neutral social sentiment for Chevron Corporation (CVX). We gave it a score of -9. There was little activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of -3 (neutral). Over the prior 14 days our AI scored an average sentiment of 3 (neutral). And for the prior 30 days our social sentiment score for Chevron Corporation (CVX) is 2 (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.