Twitter case study
Twitter shares finished Friday 20% down at market close after reporting a decline in monthly active users during the second quarter.
The trouble here isn’t revenue (it beat estimates) or earnings (it hit its number). Instead, it’s about a decline in “monthly active users,” a figure that was depressed for reasons like new privacy rules in Europe, a purging of fake/abusive accounts, and not moving to paid SMS carrier relationships
This event was well known before the 2Q financial report
This dashboard presents our data on facebook using news sentiment score on a scale between 0-1 (above 0.5 consider bullish sentiment and below 0.5 consider a bearish sentiment).
Twitter’s 30 days news sentiment score was below 0.5 thresholds (0.49) on Jul 26 a day before the financial report was published. On Jul 09, the first sign of bearish sentiment happens as the news sentiment score cross 0.5 and move down to 0.36-0.4 follow by signs of user activity may slow. On Jul 20 the stock drop 9% as the fear from fake accounts make it to the headlines.
These events were strong enough to act upon and start sale position or to enter th short positions, as the thresholds triggered twice, our clients that set up an alert for Twitter news sentiment change got a notification and was aware to the company news sentiment score and the negative change which factored in the market after the company’s financial report releases.
Companies that don’t monitor the news sentiment on an ongoing basis may miss the opportunity to react in advance to major events. Luckily, there are technologies that allow to analyze and monitor news sentiment score of equities and other assets classes in easy to use interactive dashboards and alerts.
Generating alpha using news sentiment on extracted events, presented on a visual analytics platform
Using big data and NLP technologies to generate alpha by collecting, structure and reveal hidden insights from unstructured text within tens of thousands of news articles, press releases, and financial social media. Our data is presenting on visually compelling, interactive dashboards on your PC and mobile.
Using a hybrid model to confirm the accuracy of data classification, context, and sources to ensure maximum value for our clients. Generating news sentiment score based on relevancy, position, and strength of the signal on any level. Furthermore, connect additional datasets to leverage your analysis and insights in your secure environment.
Cover press releases, news stories and financial social media on companies, currencies, commodities, central banks, cryptocurrencies, macroeconomics and ETF’s 24/7.
Our data is presenting on easy to use interactive dashboards on the web or on your phone, get alerts when data changes, and drill into details. Furthermore, add any datasets to leverage your analysis and insights in your secure environment. Alpha is at your fingertips.
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