Market sentiment news analysis that covers 110,000+ public companies worldwide. Algorithms trained by buy-side research analysts replicate their own analysis of news items, which yields a more accurate and consistent classification across a deep history of news stories. This product helps quantitative researchers and compliance professionals better understand and explore the impact of news and provide more clarity on trade activity. Data Frequency: Intraday; Update Frequency: Intraday.
- Firm Information
- Alexandria Technology creates proprietary machine learning algorithms that classify text for entities, events/topics, sentiment, and more. Launched in 2012, Alexandria’s classification systems have been trained by research analysts and portfolio managers, creating an AI analyst that reads text like a human but performs with the speed and consistency of a machine.
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