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Brain Language Metrics on Company Filings for 6000+ US Stocks
Brain Language Metrics on Company Filings for 6000+ US Stocks
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Brain Language Metrics on Company Filings for 6000+ US Stocks

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COMPOSITE_FIGI
TICKER
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
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Sign In To Preview Data
Volume
6K
stocks covered
Avail. Format
.csv
File
Coverage
1
Country
History
13
years

Data Dictionary

[Sample] Differences All 20200101
Attribute Type Example Mapping
COMPOSITE_FIGI
 String BBG000C2V3D6
TICKER
 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
[Sample] Differences 10k 20200101
Attribute Type Example Mapping
COMPOSITE_FIGI
 String BBG000C2V3D6
TICKER
 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
[Sample] Metrics 10k 20200101
Attribute Type Example Mapping
COMPOSITE_FIGI
 String BBG000C2V3D6
TICKER
 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
[Sample] Metrics All 20200101
Attribute Type Example Mapping
COMPOSITE_FIGI
 String BBG000C2V3D6
TICKER
 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

Description

The Brain Language Metrics (BLMCF) on Company Filings dataset monitors several language metrics on 10-Ks and 10-Qs company reports 6000 + US stocks.
The Brain Language Metrics on Company Filings (BLMCF) dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately 6000+ US stocks. Recent literature works claim inefficiencies in the market response to company filings information due to the increased complexity and length of such reports (see for example “Lazy Prices” Cohen et al. 2018 or “ The Positive Similarity of Company Filings and the Cross-Section of Stock Returns”, M. Padysak 2020). Our dataset is made of two parts; the first one includes the language metrics of the most recent 10-K or 10-Q report for each firm, namely: 1. Financial sentiment 2. Percentage of words belonging to financial domain classified by language types. e.g. “Constraining” language or “Litigious” language Factsheet https://braincompany.co/assets/files/BLM_CF_V2_summary.pdf

Country Coverage

North America (1)
United States of America

History

13 years of historical data

Volume

6,000 stocks covered

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
daily
Format
.csv

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, Global Stock Market Data Equity Market Data 80K stocks 150 pricing sources Intraday Data, and Podcast Database - Complete Podcast Metadata, All Countries & Languages. 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.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available

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