2024 | REDSTONE™
| Customer(s) | Product | Year | Project | IP |
|---|---|---|---|---|
| Buy-Side Firms | REDSTONE™ | 2024 | Market Data Processing Platform | IP Retained |
REDSTONE™ is a market data processing platform for quantitative research, model evaluation, and production trading workflows.
The platform is designed to process, normalize, store, and serve financial market data in a format suitable for both research environments and deployed trading models. It supports the complete data layer required by systematic trading systems, including ingestion, validation, historical storage, derived datasets, and integration with analytical and execution workflows.
REDSTONE™ was built to reduce the cost, fragility, and operational burden normally associated with maintaining buy-side market data infrastructure. It provides a practical foundation for small and medium buy-side firms that need reliable data pipelines without the complexity and expense of larger institutional platforms.
Relevant benefits
- Market data ingestion and processing for quantitative workflows.
- Normalized data layer for research and model deployment.
- Historical storage and retrieval of trading-relevant datasets.
- Support for tick, intraday, and derived market data.
- Integration with R, Jupyter, and production model environments.
- Data validation and operational checks.
- Reduced dependency on expensive or rigid vendor platforms.
- Lower operational cost for small and medium buy-side firms.
- Designed for long-term maintainability and controlled extension.
Status
REDSTONE™ is an internally developed platform and part of the quantitative data systems available for licensing or custom deployment with buy-side firms.