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alexandria_news

alexandria_news by Alexandria Technology

Dataset Name: alexandria_news


Group: news
Vendor: Alexandria Technology
Data Starts at: 2020-01-01 00:00:00
Symbol Set: Global News
Asset Class: Equity
Data Update Time(s): Live
Data Update Frequency: intraday

Alexandria Dow Jones News Analytics

Alexandria Technology News Analytics produces alpha for a global universe of companies. Alexandria's classifiers identifies entities, topics, and sentiment within Dow Jones news. The analytics produces alpha that is uncorrelated to traditional factors. A deep archive back to 2000 allows funds to analyze robustness over different market cycles.



Data Contained in this Dataset

Column Type Description
_seq uint Internal sequence number used to keep data rows in order
timestamp string Timestamp of the Data - America/New York Time.
muts uint64 Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps. (underlying field is nc_publish_date_actual)
symbol string Trading Symbol or Ticker
StoryID string StoryID
Country string Country
Isin string International Securities Identification Number. An international code which identifies a securities issue
Sentiment double Sentiment
Confidence double Confidence
Novelty double Novelty
Events string Events
Relevance double Relevance
HeadlineOnly string HeadlineOnly
AutoMessage string AutoMessage
Source string Source
MarketImpactScore double MarketImpactScore
Prob_POS double Prob_POS
Prob_NTR double Prob_NTR
Prob_NEG double Prob_NEG


Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.