Brain Language Metrics on Company Filings for 6000+ US Stocks
# | COMPOSITE_FIGI |
DATE |
LAST_REPORT_DATE |
LAST_REPORT_CATEGORY |
LAST_REPORT_PERIOD |
PREV_REPORT_DATE |
PREV_REPORT_CATEGORY |
PREV_REPORT_PERIOD |
DELTA_PERC_N_SENTENCES |
DELTA_PERC_MEAN_SENTENCE_LENGTH |
DELTA_SENTIMENT |
DELTA_SCORE_UNCERTAINTY |
DELTA_SCORE_LITIGIOUS |
DELTA_SCORE_CONSTRAINING |
DELTA_SCORE_INTERESTING |
DELTA_READABILITY |
DELTA_LEXICAL_RICHNESS |
DELTA_LEXICAL_DENSITY |
DELTA_SPECIFIC_DENSITY |
SIMILARITY_ALL |
SIMILARITY_POSITIVE |
SIMILARITY_NEGATIVE |
SIMILARITY_UNCERTAINTY |
SIMILARITY_LITIGIOUS |
SIMILARITY_CONSTRAINING |
SIMILARITY_INTERESTING |
RF_DELTA_PERC_N_SENTENCES |
RF_DELTA_PERC_MEAN_SENTENCE_LENGTH |
RF_DELTA_SENTIMENT |
RF_DELTA_SCORE_UNCERTAINTY |
RF_DELTA_SCORE_LITIGIOUS |
RF_DELTA_SCORE_CONSTRAINING |
RF_DELTA_SCORE_INTERESTING |
RF_DELTA_READABILITY |
RF_DELTA_LEXICAL_RICHNESS |
RF_DELTA_LEXICAL_DENSITY |
RF_DELTA_SPECIFIC_DENSITY |
RF_SIMILARITY_ALL |
RF_SIMILARITY_POSITIVE |
RF_SIMILARITY_NEGATIVE |
MD_DELTA_PERC_N_SENTENCES |
MD_DELTA_PERC_MEAN_SENTENCE_LENGTH |
MD_DELTA_SENTIMENT |
MD_DELTA_SCORE_UNCERTAINTY |
MD_DELTA_SCORE_LITIGIOUS |
MD_DELTA_SCORE_CONSTRAINING |
MD_DELTA_SCORE_INTERESTING |
MD_DELTA_READABILITY |
MD_DELTA_LEXICAL_RICHNESS |
MD_DELTA_LEXICAL_DENSITY |
MD_DELTA_SPECIFIC_DENSITY |
MD_SIMILARITY_ALL |
MD_SIMILARITY_POSITIVE |
MD_SIMILARITY_NEGATIVE |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
3 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
4 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
5 | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
6 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
7 | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx |
9 | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
10 | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx |
... | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx |
# | COMPOSITE_FIGI |
DATE |
LAST_REPORT_CATEGORY |
LAST_REPORT_DATE |
N_SENTENCES |
MEAN_SENTENCE_LENGTH |
SENTIMENT |
SCORE_UNCERTAINTY |
SCORE_LITIGIOUS |
SCORE_CONSTRAINING |
SCORE_INTERESTING |
READABILITY |
LEXICAL_RICHNESS |
LEXICAL_DENSITY |
SPECIFIC_DENSITY |
RF_N_SENTENCES |
RF_MEAN_SENTENCE_LENGTH |
RF_SENTIMENT |
RF_SCORE_UNCERTAINTY |
RF_SCORE_LITIGIOUS |
RF_SCORE_CONSTRAINING |
RF_SCORE_INTERESTING |
RF_READABILITY |
RF_LEXICAL_RICHNESS |
RF_LEXICAL_DENSITY |
RF_SPECIFIC_DENSITY |
MD_N_SENTENCES |
MD_MEAN_SENTENCE_LENGTH |
MD_SENTIMENT |
MD_SCORE_UNCERTAINTY |
MD_SCORE_LITIGIOUS |
MD_SCORE_CONSTRAINING |
MD_SCORE_INTERESTING |
MD_READABILITY |
MD_LEXICAL_RICHNESS |
MD_LEXICAL_DENSITY |
MD_SPECIFIC_DENSITY |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
2 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
4 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
5 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx |
7 | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx |
9 | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx |
10 | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx |
... | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx |
# | COMPOSITE_FIGI |
DATE |
LAST_REPORT_CATEGORY |
LAST_REPORT_DATE |
N_SENTENCES |
MEAN_SENTENCE_LENGTH |
SENTIMENT |
SCORE_UNCERTAINTY |
SCORE_LITIGIOUS |
SCORE_CONSTRAINING |
SCORE_INTERESTING |
READABILITY |
LEXICAL_RICHNESS |
LEXICAL_DENSITY |
SPECIFIC_DENSITY |
RF_N_SENTENCES |
RF_MEAN_SENTENCE_LENGTH |
RF_SENTIMENT |
RF_SCORE_UNCERTAINTY |
RF_SCORE_LITIGIOUS |
RF_SCORE_CONSTRAINING |
RF_SCORE_INTERESTING |
RF_READABILITY |
RF_LEXICAL_RICHNESS |
RF_LEXICAL_DENSITY |
RF_SPECIFIC_DENSITY |
MD_N_SENTENCES |
MD_MEAN_SENTENCE_LENGTH |
MD_SENTIMENT |
MD_SCORE_UNCERTAINTY |
MD_SCORE_LITIGIOUS |
MD_SCORE_CONSTRAINING |
MD_SCORE_INTERESTING |
MD_READABILITY |
MD_LEXICAL_RICHNESS |
MD_LEXICAL_DENSITY |
MD_SPECIFIC_DENSITY |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
2 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
4 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
5 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx |
7 | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx |
9 | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx |
10 | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx |
... | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx |
# | COMPOSITE_FIGI |
DATE |
LAST_REPORT_DATE |
LAST_REPORT_CATEGORY |
LAST_REPORT_PERIOD |
PREV_REPORT_DATE |
PREV_REPORT_CATEGORY |
PREV_REPORT_PERIOD |
DELTA_PERC_N_SENTENCES |
DELTA_PERC_MEAN_SENTENCE_LENGTH |
DELTA_SENTIMENT |
DELTA_SCORE_UNCERTAINTY |
DELTA_SCORE_LITIGIOUS |
DELTA_SCORE_CONSTRAINING |
DELTA_SCORE_INTERESTING |
DELTA_READABILITY |
DELTA_LEXICAL_RICHNESS |
DELTA_LEXICAL_DENSITY |
DELTA_SPECIFIC_DENSITY |
SIMILARITY_ALL |
SIMILARITY_POSITIVE |
SIMILARITY_NEGATIVE |
SIMILARITY_UNCERTAINTY |
SIMILARITY_LITIGIOUS |
SIMILARITY_CONSTRAINING |
SIMILARITY_INTERESTING |
RF_DELTA_PERC_N_SENTENCES |
RF_DELTA_PERC_MEAN_SENTENCE_LENGTH |
RF_DELTA_SENTIMENT |
RF_DELTA_SCORE_UNCERTAINTY |
RF_DELTA_SCORE_LITIGIOUS |
RF_DELTA_SCORE_CONSTRAINING |
RF_DELTA_SCORE_INTERESTING |
RF_DELTA_READABILITY |
RF_DELTA_LEXICAL_RICHNESS |
RF_DELTA_LEXICAL_DENSITY |
RF_DELTA_SPECIFIC_DENSITY |
RF_SIMILARITY_ALL |
RF_SIMILARITY_POSITIVE |
RF_SIMILARITY_NEGATIVE |
MD_DELTA_PERC_N_SENTENCES |
MD_DELTA_PERC_MEAN_SENTENCE_LENGTH |
MD_DELTA_SENTIMENT |
MD_DELTA_SCORE_UNCERTAINTY |
MD_DELTA_SCORE_LITIGIOUS |
MD_DELTA_SCORE_CONSTRAINING |
MD_DELTA_SCORE_INTERESTING |
MD_DELTA_READABILITY |
MD_DELTA_LEXICAL_RICHNESS |
MD_DELTA_LEXICAL_DENSITY |
MD_DELTA_SPECIFIC_DENSITY |
MD_SIMILARITY_ALL |
MD_SIMILARITY_POSITIVE |
MD_SIMILARITY_NEGATIVE |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
COMPOSITE_FIGI
|
String | BBG000C2V3D6 | |
String | A | Stock Ticker | |
DATE
|
DateTime | 2020-01-01T00:00:00+00:00 | |
LAST_REPORT_DATE
|
DateTime | 2019-12-19T00:00:00+00:00 | |
LAST_REPORT_CATEGORY
|
String | 10-K | |
LAST_REPORT_PERIOD
|
Integer | 15 | |
PREV_REPORT_DATE
|
DateTime | 2018-12-20T00:00:00+00:00 | |
PREV_REPORT_CATEGORY
|
String | 10-K | |
PREV_REPORT_PERIOD
|
Integer | 14 | |
DELTA_PERC_N_SENTENCES
|
Float | 0.0335 | |
DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | 0.0377 | |
DELTA_SENTIMENT
|
Float | 0.019 | |
DELTA_SCORE_UNCERTAINTY
|
Float | -0.0068 | |
DELTA_SCORE_LITIGIOUS
|
Float | 0.0101 | |
DELTA_SCORE_CONSTRAINING
|
Float | -0.0009 | |
DELTA_SCORE_INTERESTING
|
Float | 0.0006 | |
DELTA_READABILITY
|
Float | 0.5965 | |
DELTA_LEXICAL_RICHNESS
|
Float | -0.0057 | |
DELTA_LEXICAL_DENSITY
|
Float | 0.0042 | |
DELTA_SPECIFIC_DENSITY
|
Float | 0.0008 | |
SIMILARITY_ALL
|
Float | 0.9801 | |
SIMILARITY_POSITIVE
|
Float | 0.994 | |
SIMILARITY_NEGATIVE
|
Float | 0.9825 | |
SIMILARITY_UNCERTAINTY
|
Float | 0.9923 | |
SIMILARITY_LITIGIOUS
|
Float | 0.9441 | |
SIMILARITY_CONSTRAINING
|
Float | 0.9795 | |
SIMILARITY_INTERESTING
|
Float | 0.995 | |
RF_DELTA_PERC_N_SENTENCES
|
Float | 0.0 | |
RF_DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | -0.0017 | |
RF_DELTA_SENTIMENT
|
Float | 0.0046 | |
RF_DELTA_SCORE_UNCERTAINTY
|
Float | -0.0016 | |
RF_DELTA_SCORE_LITIGIOUS
|
Float | 0.0011 | |
RF_DELTA_SCORE_CONSTRAINING
|
Float | 0.0057 | |
RF_DELTA_SCORE_INTERESTING
|
Float | 0.0019 | |
RF_DELTA_READABILITY
|
Float | -0.021 | |
RF_DELTA_LEXICAL_RICHNESS
|
Float | 0.0006 | |
RF_DELTA_LEXICAL_DENSITY
|
Float | 0.0018 | |
RF_DELTA_SPECIFIC_DENSITY
|
Float | -0.0001 | |
RF_SIMILARITY_ALL
|
Float | 0.9983 | |
RF_SIMILARITY_POSITIVE
|
Float | 0.9977 | |
RF_SIMILARITY_NEGATIVE
|
Float | 0.9984 | |
MD_DELTA_PERC_N_SENTENCES
|
Float | 0.0362 | |
MD_DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | 0.0213 | |
MD_DELTA_SENTIMENT
|
Float | 0.0159 | |
MD_DELTA_SCORE_UNCERTAINTY
|
Float | -0.0241 | |
MD_DELTA_SCORE_LITIGIOUS
|
Float | 0.0131 | |
MD_DELTA_SCORE_CONSTRAINING
|
Float | -0.0078 | |
MD_DELTA_SCORE_INTERESTING
|
Float | -0.0107 | |
MD_DELTA_READABILITY
|
Float | 0.4758 | |
MD_DELTA_LEXICAL_RICHNESS
|
Float | -0.0076 | |
MD_DELTA_LEXICAL_DENSITY
|
Float | 0.0031 | |
MD_DELTA_SPECIFIC_DENSITY
|
Float | 0.0058 | |
MD_SIMILARITY_ALL
|
Float | 0.9753 | |
MD_SIMILARITY_POSITIVE
|
Float | 0.9727 | |
MD_SIMILARITY_NEGATIVE
|
Float | 0.9339 |
Attribute | Type | Example | Mapping |
---|---|---|---|
COMPOSITE_FIGI
|
String | BBG000C2V3D6 | |
String | A | Stock Ticker | |
DATE
|
DateTime | 2020-01-01T00:00:00+00:00 | |
LAST_REPORT_CATEGORY
|
String | 10-K | |
LAST_REPORT_DATE
|
DateTime | 2019-12-19T00:00:00+00:00 | |
N_SENTENCES
|
Integer | 1574 | |
MEAN_SENTENCE_LENGTH
|
Float | 40.9638 | |
SENTIMENT
|
Float | 0.2981 | |
SCORE_UNCERTAINTY
|
Float | 0.2312 | |
SCORE_LITIGIOUS
|
Float | 0.1695 | |
SCORE_CONSTRAINING
|
Float | 0.1231 | |
SCORE_INTERESTING
|
Float | 0.0772 | |
READABILITY
|
Float | 22.8431 | |
LEXICAL_RICHNESS
|
Float | 0.0984 | |
LEXICAL_DENSITY
|
Float | 0.5565 | |
SPECIFIC_DENSITY
|
Float | 0.0904 | |
RF_N_SENTENCES
|
Float | 197.0 | |
RF_MEAN_SENTENCE_LENGTH
|
Float | 40.731 | |
RF_SENTIMENT
|
Float | -0.1365 | |
RF_SCORE_UNCERTAINTY
|
Float | 0.272 | |
RF_SCORE_LITIGIOUS
|
Float | 0.1628 | |
RF_SCORE_CONSTRAINING
|
Float | 0.1212 | |
RF_SCORE_INTERESTING
|
Float | 0.037 | |
RF_READABILITY
|
Float | 23.2366 | |
RF_LEXICAL_RICHNESS
|
Float | 0.2601 | |
RF_LEXICAL_DENSITY
|
Float | 0.5437 | |
RF_SPECIFIC_DENSITY
|
Float | 0.2259 | |
MD_N_SENTENCES
|
Float | 372.0 | |
MD_MEAN_SENTENCE_LENGTH
|
Float | 40.6398 | |
MD_SENTIMENT
|
Float | 0.3843 | |
MD_SCORE_UNCERTAINTY
|
Float | 0.2123 | |
MD_SCORE_LITIGIOUS
|
Float | 0.1213 | |
MD_SCORE_CONSTRAINING
|
Float | 0.1098 | |
MD_SCORE_INTERESTING
|
Float | 0.1705 | |
MD_READABILITY
|
Float | 21.8277 | |
MD_LEXICAL_RICHNESS
|
Float | 0.1594 | |
MD_LEXICAL_DENSITY
|
Float | 0.5349 | |
MD_SPECIFIC_DENSITY
|
Float | 0.0976 |
Attribute | Type | Example | Mapping |
---|---|---|---|
COMPOSITE_FIGI
|
String | BBG000C2V3D6 | |
String | A | Stock Ticker | |
DATE
|
DateTime | 2020-01-01T00:00:00+00:00 | |
LAST_REPORT_CATEGORY
|
String | 10-K | |
LAST_REPORT_DATE
|
DateTime | 2019-12-19T00:00:00+00:00 | |
N_SENTENCES
|
Integer | 1574 | |
MEAN_SENTENCE_LENGTH
|
Float | 40.9638 | |
SENTIMENT
|
Float | 0.2981 | |
SCORE_UNCERTAINTY
|
Float | 0.2312 | |
SCORE_LITIGIOUS
|
Float | 0.1695 | |
SCORE_CONSTRAINING
|
Float | 0.1231 | |
SCORE_INTERESTING
|
Float | 0.0772 | |
READABILITY
|
Float | 22.8431 | |
LEXICAL_RICHNESS
|
Float | 0.0984 | |
LEXICAL_DENSITY
|
Float | 0.5565 | |
SPECIFIC_DENSITY
|
Float | 0.0904 | |
RF_N_SENTENCES
|
Float | 197.0 | |
RF_MEAN_SENTENCE_LENGTH
|
Float | 40.731 | |
RF_SENTIMENT
|
Float | -0.1365 | |
RF_SCORE_UNCERTAINTY
|
Float | 0.272 | |
RF_SCORE_LITIGIOUS
|
Float | 0.1628 | |
RF_SCORE_CONSTRAINING
|
Float | 0.1212 | |
RF_SCORE_INTERESTING
|
Float | 0.037 | |
RF_READABILITY
|
Float | 23.2366 | |
RF_LEXICAL_RICHNESS
|
Float | 0.2601 | |
RF_LEXICAL_DENSITY
|
Float | 0.5437 | |
RF_SPECIFIC_DENSITY
|
Float | 0.2259 | |
MD_N_SENTENCES
|
Float | 372.0 | |
MD_MEAN_SENTENCE_LENGTH
|
Float | 40.6398 | |
MD_SENTIMENT
|
Float | 0.3843 | |
MD_SCORE_UNCERTAINTY
|
Float | 0.2123 | |
MD_SCORE_LITIGIOUS
|
Float | 0.1213 | |
MD_SCORE_CONSTRAINING
|
Float | 0.1098 | |
MD_SCORE_INTERESTING
|
Float | 0.1705 | |
MD_READABILITY
|
Float | 21.8277 | |
MD_LEXICAL_RICHNESS
|
Float | 0.1594 | |
MD_LEXICAL_DENSITY
|
Float | 0.5349 | |
MD_SPECIFIC_DENSITY
|
Float | 0.0976 |
Attribute | Type | Example | Mapping |
---|---|---|---|
COMPOSITE_FIGI
|
String | BBG000C2V3D6 | |
String | A | Stock Ticker | |
DATE
|
DateTime | 2020-01-01T00:00:00+00:00 | |
LAST_REPORT_DATE
|
DateTime | 2019-12-19T00:00:00+00:00 | |
LAST_REPORT_CATEGORY
|
String | 10-K | |
LAST_REPORT_PERIOD
|
Integer | 15 | |
PREV_REPORT_DATE
|
DateTime | 2018-12-20T00:00:00+00:00 | |
PREV_REPORT_CATEGORY
|
String | 10-K | |
PREV_REPORT_PERIOD
|
Integer | 14 | |
DELTA_PERC_N_SENTENCES
|
Float | 0.0335 | |
DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | 0.0377 | |
DELTA_SENTIMENT
|
Float | 0.019 | |
DELTA_SCORE_UNCERTAINTY
|
Float | -0.0068 | |
DELTA_SCORE_LITIGIOUS
|
Float | 0.0101 | |
DELTA_SCORE_CONSTRAINING
|
Float | -0.0009 | |
DELTA_SCORE_INTERESTING
|
Float | 0.0006 | |
DELTA_READABILITY
|
Float | 0.5965 | |
DELTA_LEXICAL_RICHNESS
|
Float | -0.0057 | |
DELTA_LEXICAL_DENSITY
|
Float | 0.0042 | |
DELTA_SPECIFIC_DENSITY
|
Float | 0.0008 | |
SIMILARITY_ALL
|
Float | 0.9801 | |
SIMILARITY_POSITIVE
|
Float | 0.994 | |
SIMILARITY_NEGATIVE
|
Float | 0.9825 | |
SIMILARITY_UNCERTAINTY
|
Float | 0.9923 | |
SIMILARITY_LITIGIOUS
|
Float | 0.9441 | |
SIMILARITY_CONSTRAINING
|
Float | 0.9795 | |
SIMILARITY_INTERESTING
|
Float | 0.995 | |
RF_DELTA_PERC_N_SENTENCES
|
Float | 0.0 | |
RF_DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | -0.0017 | |
RF_DELTA_SENTIMENT
|
Float | 0.0046 | |
RF_DELTA_SCORE_UNCERTAINTY
|
Float | -0.0016 | |
RF_DELTA_SCORE_LITIGIOUS
|
Float | 0.0011 | |
RF_DELTA_SCORE_CONSTRAINING
|
Float | 0.0057 | |
RF_DELTA_SCORE_INTERESTING
|
Float | 0.0019 | |
RF_DELTA_READABILITY
|
Float | -0.021 | |
RF_DELTA_LEXICAL_RICHNESS
|
Float | 0.0006 | |
RF_DELTA_LEXICAL_DENSITY
|
Float | 0.0018 | |
RF_DELTA_SPECIFIC_DENSITY
|
Float | -0.0001 | |
RF_SIMILARITY_ALL
|
Float | 0.9983 | |
RF_SIMILARITY_POSITIVE
|
Float | 0.9977 | |
RF_SIMILARITY_NEGATIVE
|
Float | 0.9984 | |
MD_DELTA_PERC_N_SENTENCES
|
Float | 0.0362 | |
MD_DELTA_PERC_MEAN_SENTENCE_LENGTH
|
Float | 0.0213 | |
MD_DELTA_SENTIMENT
|
Float | 0.0159 | |
MD_DELTA_SCORE_UNCERTAINTY
|
Float | -0.0241 | |
MD_DELTA_SCORE_LITIGIOUS
|
Float | 0.0131 | |
MD_DELTA_SCORE_CONSTRAINING
|
Float | -0.0078 | |
MD_DELTA_SCORE_INTERESTING
|
Float | -0.0107 | |
MD_DELTA_READABILITY
|
Float | 0.4758 | |
MD_DELTA_LEXICAL_RICHNESS
|
Float | -0.0076 | |
MD_DELTA_LEXICAL_DENSITY
|
Float | 0.0031 | |
MD_DELTA_SPECIFIC_DENSITY
|
Float | 0.0058 | |
MD_SIMILARITY_ALL
|
Float | 0.9753 | |
MD_SIMILARITY_POSITIVE
|
Float | 0.9727 | |
MD_SIMILARITY_NEGATIVE
|
Float | 0.9339 |
Description
Country Coverage
History
Volume
6,000 | stocks covered |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Brain Language Metrics on Company Filings for 6000+ US Stocks?
The Brain Language Metrics (BLMCF) on Company Filings dataset monitors several language metrics on 10-Ks and 10-Qs company reports 6000 + US stocks.
What is Brain Language Metrics on Company Filings for 6000+ US Stocks used for?
This product has 5 key use cases. Brain Company recommends using the data for Alpha Generation, Systematic Trading, Financial Data Enrichment, Company Filings Analysis, and Trading Strategy Generation. Global businesses and organizations buy Stock Market Data from Brain Company to fuel their analytics and enrichment.
Who can use Brain Language Metrics on Company Filings for 6000+ US Stocks?
This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for Stock Market Data. Get in touch with Brain Company to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Brain Language Metrics on Company Filings for 6000+ US Stocks go?
This product has 13 years of historical coverage. It can be delivered on a daily basis.
Which countries does Brain Language Metrics on Company Filings for 6000+ US Stocks cover?
This product includes data covering 1 country like USA. Brain Company is headquartered in Italy.
How much does Brain Language Metrics on Company Filings for 6000+ US Stocks cost?
Pricing information for Brain Language Metrics on Company Filings for 6000+ US Stocks is available by getting in contact with Brain Company. Connect with Brain Company to get a quote and arrange custom pricing models based on your data requirements.
How can I get Brain Language Metrics on Company Filings for 6000+ US Stocks?
Businesses can buy Stock Market Data from Brain Company and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Brain Company can deliver this product in .csv format.
What is the data quality of Brain Language Metrics on Company Filings for 6000+ US Stocks?
You can compare and assess the data quality of Brain Company using Datarade’s data marketplace.
What are similar products to Brain Language Metrics on Company Filings for 6000+ US Stocks?
This product has 3 related products. These alternatives include Brain Language Metrics on Earnings Calls - 4500+ US Stocks, EDI Index (Indices Data) Benchmark Constituents Components for over 6000 Indices worldwide. History and Time Series available, and The Data Appeal Point of Interest (POI) Data API, Dataset 200 Million+ POI Data Mapped Measure Sentiment and Customer Experience. You can compare the best Stock Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.