2022 | Real-Time Data Platform
| Customer(s) | Product | Year | Project | IP |
|---|---|---|---|---|
| US Registered Hedge Fund | Quantitative Data Platform | 2022 | Real-Time Data Platform | Full IP Transfer |

Real-time market data platform for low-latency research and production workflows.
The platform was designed to provide full real-time coverage of US equities and options markets, supporting both research and production use cases where low-latency access to market information was required. It covered US equities across NASDAQ, NYSE, ARCA, and regional venues, together with US options data from CBOE, delivered through one-second snapshots.
The system operated as a low-level, performance-oriented data platform built for speed, determinism, and operational reliability. It was deployed on colocated hardware and optimized in C/C++, including hardware-acceleration techniques where appropriate, to reduce latency and support demanding quantitative workflows.
The work covered the design and implementation of a specialized real-time data layer capable of supporting signal generation, research access, monitoring, and production model consumption under latency-sensitive conditions.
Relevant benefits
- ~2 billion/day messages processed.
- Full real-time US equities market coverage.
- Real-time options coverage from CBOE.
- One-second market snapshots for equities and options.
- Coverage of NASDAQ, NYSE, ARCA, and regional venues.
- Low-level platform designed for latency-sensitive workflows.
- Low-latency delivery for research and production consumers.
- Colocated hardware deployment.
- C/C++ implementation focused on performance and control.
- Hardware-acceleration optimization.
- Suitable for signal generation and production model workflows.
- Controlled operational platform for real-time market data delivery.
- Full IP transfer to the customer.
Status
Successfully delivered as a specialized internal real-time data platform for low-latency quantitative workflows.