Most investment analytics workflows ultimately look to relate signal data back to companies and securities, in order to benchmark against & predict company fundamental and consensus data, or to use in trading strategies.
Exabel provides a pre-loaded set of global companies and equity securities as part of the foundational data available to all users. This includes a range of identifiers with which you may map your data:
- Bloomberg Ticker (eg
AAPL USfor Apple Inc.)
- Bloomberg Symbol (eg
AAPL US Equity)
- MIC + Ticker (eg
- FIGI (eg
BBG001S5N8V8) - note that FIGIs are available on 3 levels: security (FIGI share class), regional (FIGI composite) & listing
- ISIN (eg
- Factset entity ID (eg
- Factset permanent identifier, aka FSYM_ID (eg
R85KLC-S) - note that FSYM_IDs are available on 3 levels: security, regional & listing
The following graphic shows how pre-loaded entities and identifiers relate to each other, and how you may connect these to your own custom data model.
You may import signals and time series data at company-level by providing these identifiers directly.
Identifiers are always mapped back to companies
When you use the company/security identifiers above for data imports, your data is mapped to the corresponding company entity.
Currently, we do not support mapping your data to the security / regional / listing entities.
Alternatively, as in the example above, you may create your own custom entities to model your data, linking your new entities to the existing company universe.
Updated 8 months ago