Financial users can upload a stock portfolio and tailor their analysis to address specific risks detected across 19,000 sources including news, social media, regulatory filings, and transcripts. Hundreds of thematic factors can be taken into account for their stock rankings to monitor for headline risk, identify sentiment leaders and laggards, or flag companies that are no longer aligned with their strategy.
Investors can also apply a selection of screening criteria and better manage reputational risks by identifying controversial companies in their portfolio. For example, users can filter out companies experiencing negative environmental, social, or governance (ESG) events, or rank higher those with positive earnings and product sentiment.
Sentiment Analysis Ranking Functions
We have introduced new functions for Rank, Dense Rank, Ntile and Row Number. Add these functions to your dataset to order daily data by your desired dimension.
- Rank your portfolio daily by sentiment, buzz or any other function
- Find top 10 entities in your portfolio by sentiment, buzz or any other function
- Identify top performers in a portfolio by taking the top quitile or decile
RavenPack’s powerful screening tool allows users to instantly create lists of positive or negative sentiment stocks for short or long term investment horizons. Fully customizable factors enable users to construct and rank portfolios that best fit their investment style and criteria.
Sentiment Analysis Ranking Tools
“We have built a ranking system that is based on persistent and robust factors from non-traditional sources,” said Armando Gonzalez, CEO of RavenPack. “Research from RavenPack’s award-winning Data Science team shows our new tool can help investors quickly identify positive sentiment stocks, which have a higher tendency to outperform the market, while weeding out negative stocks with low expected return from their portfolios.”
The new RavenPack ranking tool will be first showcased at the AI & Data Science in Trading Conference, taking place March 19-20, 2019 in New York City. Click here to learn more about this conference.