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Cmind EPS Beat Miss

Cmind EPS Beat Miss by Cmind

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Dataset Name: cmind_eps_beat_miss


Group: reference_data


Vendor: Cmind


Data Starts at: 2018-01-01 00:00:00


Symbol Set: US Equities


Asset Class: Equity,ADRs,ETFs


Data Update Time(s): EOD daily


Data Update Frequency: day



Cmind Company EPS beat or miss prediction

The Cmind Earnings-Per-Share (EPS) predictor accurately predicts US company earnings beats and misses a full quarter ahead of the next release using frontier machine learning to extract signals from accounting statements, earnings transcripts, economic variables and consensus EPS.

The Cmind EPS Predictor is unique, accurate and consistent.

About Cmind

We are a team of successful entrepreneurs, AI experts, and accounting and asset management professionals who bring technology and marketing savvy to Cmind.

Cmind combines management commentary, leading-edge accounting principles, and Artificial Intelligence to provide portfolio managers, accountants, and lawyers with unique and timely forecasts of company risks and performance in valuation, credit spreads and sustainability. The Cmind platform identifies financial trends, anomalies, misconduct, societal impacts, and changes in sentiment and other linguistic signals through the fast and efficient analysis of financial statements, regulatory filings, transcripts, news, and industry-specific data. Cmind clients use its proprietary intelligence and insights to drive more informed investment and business decisions.



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.
symbol string Trading Symbol or Ticker
CIK string Central Index Key
Calendar Year int64 Current EPS (Earnings Per Share) release - calendar year
Calendar Quarter int64 Current EPS (Earnings Per Share) release - calendar quarter
Prediction Probability double Cmind’s Revenue EPS (Earnings Per Share) probability (>0.5 means beat or else means miss)
Earnings Release Date string EPS (Earnings Per Share) release date
EPS Beats Prediction Generated string EPS (Earnings Per Share) Beat or Miss prediction generated date
Forecast Period string EPS (Earnings Per Share) prediction forecast quarter
Forecast Period_Year int64 EPS (Earnings Per Share) prediction forecast year
Forecast Period Earnings Release Date string EPS release date for the reporting quarter (Calendar Year, Calendar Quarter+1)
Prediction Last Revision Time string YYYY-MM-DD HH:MM:SS in EST time zone
Prediction Label int64 1 for beat, 0 for miss
Prediction Revision History string EPS prediction revision history [Array]
Name string Company name
Currency string Company’s dominated currency
Current eps double Company’s current EPS (Earnings Per Share)
Current eps_est double Company analysts’ average EPS (Earnings Per Share) estimate for the existing quarter
Sector string Company sector
Industry string Company industry
Market Cap Group string Large/Medium/Small group for the company
MarketCap double Company’s market cap
Last Update Time string Updated timestamp for the record


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.