Regions Financial Corporation (RF)

Industry: Major Banks

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average
Activity

Popular Topics & Highlights

Stock Trading: What to Know Before You Begin ...

Some bigger-than-usual #earnings moves today from $CFG $IBKC $WAL $SLB ...

... *Closed/Sold: $RF at $9.43 for 1.42 profit (17.71%). Regions Financial Corp (CORP). Trade Id: 38152816103052153. Stats:

$RF *corrected* Regions Financial call volume above normal and ...

... $AAL $ITUB $PCG $WFC $AMC #BlackBoxStocks #trading #stocks #stockstowatch #daytrading ...

Where is money flowing today? #Energy #Financials #Industrials ...

... View odds for this and other indicators: #RegionsFinancial #stockmarket #stock #technicalanalysis #money #trading ...

... #stockmarket #stock #technicalanalysis #money #trading #investing #daytrading #news #today

... #stockmarket #stock #technicalanalysis #money #trading #investing #daytrading #news #today

... #stock #technicalanalysis #money #trading #investing #daytrading #news #today

Analysis

Yesterday, Saturday, May 30, we saw positive social sentiment for Regions Financial Corporation (RF). We gave it a score of 14. There was little activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of 9 (neutral). Over the prior 14 days our AI scored an average sentiment of 5 (neutral). And for the prior 30 days our social sentiment score for Regions Financial Corporation (RF) is 6 (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.