Deployed Across Trading Operations

Institutional trading firms deploy Lunyn where reliable, low-latency market data processing is mission-critical.

Detailed Case Studies

Case Study 1
High-Frequency Trading Infrastructure

The Challenge

Order book reconstruction with sub-microsecond latency requirements for execution strategies operating on millisecond timeframes. Existing parsers couldn't maintain deterministic latency under peak load.

Lunyn Approach

Zero-copy parsing architecture delivers nanosecond-level processing with deterministic latency profiles. Lock-free concurrency enables parallel processing of multiple symbols without synchronization overhead.

Technical Results

Sustained 107M msg/sec throughput
p99 latency <50ns (vs. >500ns with previous parser)
Full order book depth maintained in real-time across 200+ symbols
Handles NASDAQ peak message rates (500K+ msg/sec) without degradation

Business Impact

Enabled deployment of latency-sensitive strategies previously impossible due to parsing bottlenecks.

Case Study 2
Quantitative Research Platforms

The Challenge

Processing multi-terabyte historical datasets for strategy development and backtesting. Complete message-level access required without sampling artifacts. Previous solutions took 40+ hours per backtest.

Lunyn Approach

Optimized batch processing mode handles 500GB+ daily feeds efficiently. Memory-efficient streaming architecture processes datasets larger than available RAM.

Technical Results

Reduced backtest time from 36 hours to 3.5 hours (10x improvement)
Processed 2TB historical dataset in 8 hours
Complete order flow reconstruction without sampling
Same hardware, no infrastructure upgrades required

Business Impact

Research capacity increased from 15 strategy tests per year to 150+. Faster iteration cycles improved strategy development ROI.

Case Study 3
Market Making Operations

The Challenge

Real-time position and risk management across multiple execution venues requires reliable market data with zero downtime tolerance. Existing infrastructure couldn't guarantee consistent latency during volatile periods.

Lunyn Approach

Production-hardened architecture with comprehensive error handling and automatic recovery. Deterministic performance under market stress conditions.

Technical Results

99.99% uptime over 12 months
Consistent latency profiles during March 2024 volatility
Processes peak NASDAQ rates without queue buildup
Automatic failover and recovery mechanisms tested

Business Impact

Reduced operational risk and enabled expansion to additional trading venues without infrastructure concerns.

Case Study 4
Market Data Vendors

The Challenge

Normalize and enrich ITCH feeds for downstream distribution to customers. Enterprise-grade reliability and throughput required to support multiple simultaneous client feeds.

Lunyn Approach

Flexible output formats supporting various downstream systems. Horizontal scaling architecture handles multiple simultaneous parsing workloads.

Technical Results

Single instance processes feeds for 20+ client connections
Reduced infrastructure costs by 60% (fewer servers required)
Unified parsing layer simplified operations
Custom output formats (Parquet, CSV, JSON) without performance penalty

Business Impact

Lower operational costs and improved service reliability for end customers.

Common Deployment Scenarios

HFT Systems

Sub-microsecond order book reconstruction for latency-sensitive execution

Backtesting

Multi-terabyte historical analysis with 10x speed improvement

Risk Management

Real-time position monitoring with 99.99% uptime reliability

Data Pipelines

Normalized multi-format output for downstream analytics systems

Evaluate Lunyn for Your Use Case

Schedule a technical consultation to discuss your specific infrastructure requirements and see how Lunyn can solve your market data processing challenges.