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alpha_tools/simple72/dataset/datafields_cache_IND_TOP500...

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1iddescriptiondatasetcategorysubcategoryregiondelayuniversetypedateCoveragecoverageuserCountalphaCountpyramidMultiplierthemesdataset_iddataset_namecategory_idcategory_namesubcategory_idsubcategory_name
2estimated_next_shareholder_meeting_dateTentative or estimated date (as an integer date, e.g., YYYYMMDD) for the next shareholder annual meeting, provided with next-trading-day (D1) availability for the USA region{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.63191251611.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
3event_frequency_labelInteger count of StreetEvents mentions or hits for the company during the represented period or date{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.262513161.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
4next_earnings_call_dateNext scheduled or confirmed earnings conference call date for the US region module, encoded as an integer date (typically YYYYMMDD); data available with D1 (next trading day) delay{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.417632431.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
5next_earnings_estimate_dateEstimated next earnings release date when the actual date is not yet confirmed (D1 module; next-day availability), stored as an integer date (e.g., YYYYMMDD){'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.596475991.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
6next_ex_dividend_event_dateThe next confirmed ex-dividend date for the company in the USA module, delivered with next-day (D1) timeliness and encoded as an integer date{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.3362651241.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
7next_shareholder_meeting_dateConfirmed next scheduled date (as an integer date, e.g., YYYYMMDD) for the upcoming shareholder annual meeting as of today, provided with next-trading-day (D1) availability for the USA region{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.269624261.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
8nws21_tonexiguome1_tone_sc(number of positive words - number of negative words) divided by (number of positive words + number of negative words){'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938441.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
9nws21_xiguo_me1_event_freqnumber of events{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938551.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
10nws21_xiguo_me1_neg_scnumber of negative words divided by number of all words{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938461.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
11nws21_xiguo_me1_pos_scnumber of positive words divided by number of all words{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938221.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
12nws21_xiguo_me1_qerf_gennumber of negative words{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938331.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
13nws21_xiguo_me1_qerf_sopnumber of positive words{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2938331.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
14previous_corporate_presentation_dateMost recent past corporate presentation date before today (for a China-listed company), available on a next-trading-day delay, stored as an integer date (e.g., YYYYMMDD){'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.278513131.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
15previous_earnings_call_dateMost recent past earnings conference call date prior to today for the US region module, encoded as an integer date (typically YYYYMMDD); data available with D1 delay{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.5211731231.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
16previous_ex_dividend_event_dateThe most recent past ex-dividend date before today for the company in the USA module, encoded as an integer date{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.547871101.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
17previous_shareholder_meeting_dateMost recent past date (as an integer date, e.g., YYYYMMDD) when the shareholder annual meeting last occurred before today, provided with next-trading-day (D1) availability for the USA region{'id': 'news21', 'name': 'Macro Economic Event Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.465326301.5[]news21Macro Economic Event DatanewsNewsnews-newsNews
18mws52_chars_in_presentationNumber of characters in the presentation section{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29118221.5[]news52Conference call datanewsNewsnews-newsNews
19mws52_chars_in_qaNumber of characters in the Q&A section{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29117331.5[]news52Conference call datanewsNewsnews-newsNews
20mws52_conference_call_participantsNumber of non-corporate participants (analysts, third parties) in the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29112381.5[]news52Conference call datanewsNewsnews-newsNews
21mws52_corporate_participantsNumber of representatives from the company (issuer) participating in the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29114221.5[]news52Conference call datanewsNewsnews-newsNews
22mws52_eventtypeType/category of the conference call event (e.g., earnings call, guidance update, etc.){'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29112301.5[]news52Conference call datanewsNewsnews-newsNews
23mws52_expirationtimeTime when the event or record is considered expired or no longer current{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29114301.5[]news52Conference call datanewsNewsnews-newsNews
24mws52_lastuptimeTime when the record was last updated{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2919171.5[]news52Conference call datanewsNewsnews-newsNews
25mws52_paragraphs_in_presentationNumber of paragraphs in the presentation section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29113311.5[]news52Conference call datanewsNewsnews-newsNews
26mws52_pparagraphs_in_qaNumber of paragraphs in the Q&A section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29114201.5[]news52Conference call datanewsNewsnews-newsNews
27mws52_questions_in_presentationNumber of questions asked during the presentation section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29112151.5[]news52Conference call datanewsNewsnews-newsNews
28mws52_questions_in_qaNumber of questions asked in the Q&A section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.2917101.5[]news52Conference call datanewsNewsnews-newsNews
29mws52_sentences_in_presentationNumber of sentences in the presentation section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29110191.5[]news52Conference call datanewsNewsnews-newsNews
30mws52_sentences_in_qaNumber of sentences in the Q&A section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29113251.5[]news52Conference call datanewsNewsnews-newsNews
31mws52_starttimeTime the conference call event started{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29111161.5[]news52Conference call datanewsNewsnews-newsNews
32mws52_talks_in_presentationNumber of talks (distinct speaker turns or interventions) in the presentation section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29118361.5[]news52Conference call datanewsNewsnews-newsNews
33mws52_talks_in_qaNumber of individual talks in the Q&A section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29110131.5[]news52Conference call datanewsNewsnews-newsNews
34mws52_words_in_presentationNumber of words in the presentation section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29110191.5[]news52Conference call datanewsNewsnews-newsNews
35mws52_words_in_qaNumber of words in the Q&A section of the conference call{'id': 'news52', 'name': 'Conference call data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.29118391.5[]news52Conference call datanewsNewsnews-newsNews
36headline_mention_countTotal number of news items for the security/date in the dataset{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352754801.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
37headline_mention_count_2Number of news headlines for the given security and date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.9759942001.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
38headline_negative_mention_countCount of negative words in headlines across all news for a security/date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352726431.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
39headline_negative_mention_count_2Total count of negative words appearing in all news headlines for the day{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.9759691351.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
40headline_negative_tone_scoreAverage proportion of negative words in news headlines, calculated as negative words divided by total words, across all news for the security/date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352730461.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
41headline_negative_tone_score_2The average ratio of negative words to all words in all news headlines for the day{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975955841.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
42headline_overall_tone_scoreaverage tone score calculated as (positive word count - negative word count) divided by (positive word count + negative word count) for headlines of news stories{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352731431.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
43headline_overall_tone_score_2average normalized headline tone score across all news, calculated as (positive words - negative words) divided by (positive words + negative words) per headline{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975957981.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
44headline_positive_mention_countCount of positive words in headlines across all news for a security/date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352714211.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
45headline_positive_mention_count_2Total count of positive words appearing in all news headlines for the day{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975935571.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
46headline_positive_tone_scoreAverage proportion of positive words in news headlines, calculated as positive words divided by total words, across all news for the security/date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.352718321.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
47headline_positive_tone_score_2The average ratio of positive words to all words in all news headlines for the day{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975934451.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
48news_mention_frequency_1Count of news stories per security and date in the EUR region for the real-time (D0) module, excluding stories containing the keyword "insider"{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975545961.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
49news_mention_frequency_d0The number of news events or articles detected for each security and date in the Asia region on a real-time (intraday) basis{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.976144741.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
50news_mention_frequency_d0_twnCount of news events per Taiwan-listed security on a given date, captured at real-time/intraday (D0) timing within the Asia module{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.976127451.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
51news_mention_frequency_d0_twn_altTotal number of news stories per security and date for Taiwan-listed companies in the Asia news frequency module at real-time/intraday (D0) delay{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975746571.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
52news_mention_frequency_simpleCount of news articles related to a security on a given date in China, excluding those containing "insider" keywords{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.975543791.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
53news_sales_mention_countDaily count of news articles for European securities that mention sales-related keywords (e.g., sale, sales) or earnings, aggregated per security per date{'id': 'news7', 'name': 'Real Time News Feed Data'}{'id': 'news', 'name': 'News'}{'id': 'news-news', 'name': 'News'}IND1TOP500MATRIX0.95070.367723401.5[]news7Real Time News Feed DatanewsNewsnews-newsNews
54max_primary_sentiment_score_transferDaily maximum of variant-1 sentiment scores for the stock-day{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697451661.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
55max_secondary_sentiment_score_transferDaily maximum of variant 2 sentiment across PR events; scale [-1, 1]{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697427371.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
56max_sentiment_score_transferDaily maximum of base sentiment scores across PR events mapped to the stock{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697320351.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
57mean_primary_sentiment_score_transferDaily mean of sentiment1 scores across PR events (may be weighted by article importance){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697413151.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
58mean_secondary_sentiment_score_transferDaily mean of sentiment2 scores across PR events (may be weighted by article importance){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.69749121.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
59mean_sentiment_score_transferDaily mean of base sentiment scores across PR events (often weighted by article importance){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697410111.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
60median_primary_sentiment_score_transferDaily median of sentiment1 scores across PR events{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697414171.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
61median_secondary_sentiment_score_transferMedian of the TRNA-style sentiment2 scores from all RavenPack press-release events linked to the stock on that day (USA region, D1 delay){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697410111.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
62median_sentiment_score_transferDaily median of event-level sentiment scores for the stock-day{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697410111.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
63min_primary_sentiment_score_transferDaily minimum of sentiment1 scores across PR events mapped to the stock; range [-1, 1]{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697412181.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
64min_secondary_sentiment_score_transferDaily minimum of variant 2 sentiment across PR events; scale [-1, 1]{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697418211.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
65min_sentiment_score_transferDaily minimum of main sentiment across PR events; scale [-1, 1]{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.69749101.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
66news_item_count_transferTotal number of PR headlines mapped to the stock on that day (USA, D1){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697427281.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
67normalized_news_item_count_transfer_2Normalized daily news article count (unitless), scaled by 90-day rolling mean for cross-sectional comparability{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697417201.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
68skew_primary_sentiment_score_transferThe skewness of the primary transferred sentiment score distribution for the period.{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697411141.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
69skew_secondary_sentiment_score_transferSkewness of the distribution of TRNA-style sentiment2 scores across all RavenPack press-release events linked to the stock on that day (USA region, D1 delay){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697411181.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
70skew_sentiment_score_transferSkewness of the distribution of event-level sentiment scores for the stock-day{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697418491.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
71sum_primary_sentiment_score_transferThe sum of all primary transferred sentiment scores for the period.{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697424281.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
72sum_secondary_sentiment_score_transferDaily sum of variant-2 sentiment scores across all PR events for the stock-day{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697411111.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment
73sum_sentiment_score_transferSum of the main TRNA-style sentiment scores across all RavenPack press-release events linked to the stock on that day (USA region, D1 delay){'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}{'id': 'news', 'name': 'News'}{'id': 'news-news-sentiment', 'name': 'News Sentiment'}IND1TOP500MATRIX0.95070.697315301.5[]news84Headline Sentiment Analysis using DNNnewsNewsnews-news-sentimentNews Sentiment