savanet_model_analytics
SavaNet uses a proprietary analyst intelligence set of algorithms that constructs a complete set of full financial statements based on reported financials, consensus analyst estimates, market data and other classification meta-data.
Group: financials
Vendor: Savanet
Data Starts at: 2001-01-31 00:00:00
Data Currently Ends at: 2020-10-31 00:00:00, contact sales for full data set.
Symbol Set: US - Russell 1000 & Russell 2000, current and removed. International - 5,000+ companies globally using current MSCI country & region specific indices.
Asset Class: Equity
Data Update Frequency: month
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. |
| ModelID | string | STRING 7 Digit - appears exclusive to Symbol |
| CreationDate | string | Creation Date - for each creation date there is a full history for a symbol All Tags, All Periods Actual and Estimated |
| SplitAdjDate | string | |
| Sedol | string | Sedol for underlying constituent. Stock Exchange Daily Official List identifier assigned by the London Stock Exchange, requires SEDOL license |
| ISIN | string | International Securities Identification Number. An international code which identifies a securities issue |
| FiscalYear | string | Fiscal year (ie 2017 2018 2019 2020 2021) |
| FiscalPeriod | string | Fiscal Period (ie Q1 Q2 FY ) |
| PeriodEndDate | string | Last Date of Period (Quarter/Year) |
| ActualEstimate | string | Actual or Estimate (A or E) |
| TagName | string | Many Tags under main prefixes (growth, leverage, margin, multiple, position, relvalue, turnover, utilize, value, yield) |
| TagValue | double | Related to tag, can be very small or extremely large numbers |
| symbol | string | Trading Symbol or Ticker |
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.