Alexandria Sentiment - Macroeconomic

Data Feed by Alexandria Technology

Added to Marketplace: September 28, 2018


Leverage the power of text analytics to enhance your investment analysis with global coverage of economic news that you can turn into a top-down factor.

By deriving high-quality information from text, also called text mining, you can consistently capture sentiment and topics in macro news to forecast risk, direction and volatility in equity markets and macro instruments. Better understand your client’s needs by text data mining macro news in real time.

Leap beyond lexicon and price-derived NLP. Alexandria’s programs can match a professional investment analyst with >91% accuracy, processing each article in 1/10th the blink of an eye, across the thousands of economic news stories published every day from around the world.

Data Feed Coverage

Data Feed Details

Alexandria’s Global Economic dataset is the application of their proprietary algorithms on macro-economic news. Each article is summarized into a record of structured data which includes the economic country or region, the topic or news event, and the overall sentiment of the article based on their AI analyst’s assessment on how it will affect that economy (positive impact, negative impact or neutral/no impact). 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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20+ yrs


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