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Alexandria Technology

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.
Community Discussion
AI/NLP Stock Screener - Change In News -12.42 % last activity Nov 05, 2019 12:22 pm
By Ben Spaeth
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sentiment newsalexandriaalternative-dataquantitativeequitiesevents
Whoever said there was no alpha in ESG? Alexandria classifies ESG events in real-time last activity Sep 27, 2019 2:33 pm
By Ben Spaeth
0 Replies
1 Like
sentiment newsalexandriaalternative-dataquantitativeequitiesevents
AI Stock Screener - Change In News +28.70% - NLP last activity Sep 17, 2019 11:30 am
By Ben Spaeth
0 Replies
0 Likes
factset newsalexandriaalternative-dataequitieseventsmachine-learning
Alexandria Economic news forward prediction capturing NFP strength - Please reach out to get this study & our index prediction simulations last activity Sep 06, 2019 12:40 pm
By Ben Spaeth
0 Replies
0 Likes
sentiment newsalexandriaalternative-dataquantitativeeconomicsevents
AI Macro Screener last activity Jul 25, 2019 2:33 pm
By Ben Spaeth
0 Replies
0 Likes
alexandria quantitativeeconomics

Products

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Alexandria Text Analytics - Commodity

Data Feed by Alexandria Technology

Alexandria’s Global Commodity dataset is the application of their proprietary algorithms on commodity-related news. Each article is summarized into a record of structured data which includes the type of commodity, 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 commodity (positive impact, negative impact or neutral/no impact).

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Economics Events Global

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Alexandria Text Analytics - Equity

Data Feed by Alexandria Technology

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.

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Global Sentiment 15+ yrs

Candidate Definition
This product is in the review and/or onboarding process towards full availability. It is not currently available via FactSet.
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Transcript Text Analytics

Data Feed by Alexandria Technology

Alexandria’s global transcripts dataset is the application of proprietary algorithms on company transcripts; as well as on earnings, investor, and all public company calls. Each transcript is parsed into many sections of structured data, each showing detail on what was said in that section including the topic, the sentiment, the speaker and more.

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Events Transcripts Sentiment

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Alexandria Text Analytics - Economic

Data Feed by Alexandria Technology

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.

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Sentiment Economics Events

Candidate Definition
This product is in the review and/or onboarding process towards full availability. It is not currently available via FactSet.
Log in to Register Interest
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Real-Time ESG

Data Feed by Alexandria Technology

Alexandria’s global ESG Sentiment and Topics dataset is the application of proprietary algorithms on ESG-related news. Each company news article is summarized into a record of structured data showing the company, the topic, and the overall sentiment for that article . Each record of data represents an ESG topic being present in a news story.

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ESG Sentiment Events

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