Architecture and implementation details of our ultra-fast backtesting engine for strategy validation.
Abstract
Accurate strategy validation requires processing millions of historical data points across multiple timeframes and market conditions. We present our backtesting engine architecture that achieves throughput exceeding 100,000 bars per second while maintaining tick-level precision.
Design Philosophy
Our backtesting engine is built on three core principles: speed without sacrificing accuracy, realistic market simulation, and comprehensive risk analytics.
Architecture
Data Pipeline
Historical market data is stored in a columnar format optimized for sequential time-series access. We use memory-mapped files to eliminate I/O bottlenecks and enable zero-copy data access.
Execution Simulator
Our execution simulator models realistic market conditions including:
- Slippage modeling: Based on historical order book depth data
- Latency simulation: Configurable network and processing delays
- Fee structures: Accurate exchange-specific fee calculations
- Partial fills: Realistic fill modeling based on available liquidity
Parallel Processing
Strategies are evaluated across multiple parameter combinations simultaneously using a work-stealing thread pool that maximizes CPU utilization.
Performance Results
- Throughput: 127,000 bars/second on a single core
- Multi-core scaling: Near-linear up to 16 cores (1.8M bars/second)
- Memory efficiency: 2.1GB for 5 years of 1-minute data across 50 trading pairs
- Strategy evaluation: 10,000 parameter combinations tested in under 3 minutes
Conclusion
Our backtesting engine enables rapid strategy iteration and robust validation, reducing the development cycle from days to minutes while maintaining institutional-grade accuracy.