Systemathics on-demand financial data and analytics offer makes readily available trusted pre-mapped, normalized and cross-validated dat all along with rich and extensive transfomation and calculation tools. Our intuitive, modern and scalable APIs help you reducing costs and overcoming performance boundaries when dealing with historical market data.
Our data management workflow follows mainly three different steps from the raw data sourcing to the needed analytics and bespoke datasets generation:
Data collection: capture and store market data in a raw, either exchange/provider or client format
Data normalization/validation: resolve market data format diversity and optimize storage for efficient exploitation
Data exploitation: design/run bespoke analytics and dataset generation or seamless integration within proprietary or 3rd party systems
It has always been known that stocks being part of an index were more liquid💧 than those being outside an index. It can be measured when a stock gets integrated in an index or when a stock is removed from an index.