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cmind_rev_beat_miss

cmind_rev_beat_miss by Cmind

Dataset Name: cmind_rev_beat_miss


Group: reference_data
Vendor: Cmind
Data Starts at: 40544
Symbol Set: US Equities
Asset Class: Equity, ADRs,ETFs
Data Update Time(s): EOD daily
Data Update Frequency: day

Cmind Company Revenue beat or miss prediction

The Cmind Revenue predictor accurately predicts US company revenue 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 revenue.

The Cmind Revenue 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 None
timestamp string None
muts uint64 None
symbol string None
Calendar Year string None
Calendar Quarter string None
Prediction Probability double None
Earnings Release Date string None
revenue Beats Prediction Generated string None
Forecast Period string None
Forecast Period_Year string None
Name string None
Currency string None
Current revenue double None
Current revenue_est double None
Sector string None
Industry string None
Market Cap Group string None
MarketCap string None
Last Update Time string None


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.