RavenPack Analytics are designed to help you spot trading opportunities and enhance your trading strategies, to generate alpha and more effectively manage risk.
News scores represent a quantification of financial news, and specifically news sentiment about traded assets. These scores are produced by detecting the tone and potential impact of market-moving stories published about a specific company. Calculations are performed in real-time to pro-duce continuously updated scores between 0 and 100. Higher values indicate positive news senti-ment whereas lower values indicate negative sentiment. Scores hovering around 50 depict neutral sentime
Company-level news scores include one master score and individual supporting scores. Each score is calculated using a different linguistic classifier. A classifier is an algorithm designed to assess the overall sentiment of a stock by detecting language within stories that is likely to drive prices upward or downwards over a given period of time.
News Sentiment in Milliseconds