Larry Dignan
for Between the Lines
| November 18, 2021
| Topic: Finance
S&P Dow Jones Indices is launching the S&P 500 Twitter Sentiment Index, which aims to use the Twitter API to track S&P 500 components that are trending in sentiment.
The novel use of Twitter’s API scores S&P 500 Index components based on bullish and bearish Tweets. The scoring is done by aggregating Twitter $cashtags such as $WMT, $MSFT and $AMZN.
Twitter overhauls developer platform with API v2 upgrades, expanded access
So far, the S&P 500 Twitter Sentiment Index Series will include:
A sentiment index that measures the performance of 200 S&P 500 constituents with the highest sentiment scores. Index constituents are float-adjusted market capitalization weighted. An equal weight version of the S&P 500 Twitter Sentiment Index that equal weights 50 S&P 500 constituents with the highest sentiment scores.
Now the analysis of $cashtags can come in handy to spot trending large-cap companies, the S&P Dow Jones Indices may get more mileage and attention by focusing on small-cap firms. Those firms are more likely to become the next meme stock.
Here are key points about the mechanics of the S&P 500 Twitter Sentiment Index:
The indices will measure sentiment daily through an analysis of Tweets with $cashtags that reference an S&P 500 stock. Via the Twitter API, S&P Dow Jones Indices consumes tweets in real-time and gives a z-score based on positive sentiment. The scoring model is based on a training database that scores positive and negative words in a tweet. Filters aim to eliminate spam tweets.
More on sentiment analysis:
SugarCRM adds ‘sentiment analysis’ to SugarPredict AIRead AI wants to gauge your sentiment, engagement, talk time during meetingsServiceNow, Qualtrics partner, aim to meld sentiment data and workflows
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