Our Technology Stack
Discover how we leverage cutting-edge hardware acceleration to deliver institutional-grade performance for quantitative finance applications.
Parallel Processing at Scale
Our technology stack leverages the full power of modern hardware, from GPU acceleration to SIMD instructions, delivering performance that traditional solutions can't match.
GPU Acceleration
Custom CUDA kernels process millions of data points in parallel
SIMD Optimization
Vectorized CPU instructions for when GPU isn't available
Zero-Copy Memory
Efficient memory management eliminates unnecessary overhead
Performance Multiplier vs Standard CPU
Note: Benchmarks based on processing 1M candlestick data points for technical indicators
Benchmarked on NVIDIA RTX 4090 with one million candles per indicator
GPU Acceleration
Our CUDA kernels are meticulously optimized for modern NVIDIA GPUs, achieving massive parallelization for technical indicator calculations.
- • Custom memory coalescing patterns
- • Warp-level primitives for reductions
- • Shared memory optimization
- • Multi-stream concurrent execution
SIMD Optimization
Leveraging AVX2 and AVX-512 instruction sets for vectorized CPU computations, processing multiple data points in a single instruction.
- • Hand-tuned assembly for critical paths
- • Runtime CPU feature detection
- • Aligned memory allocation
- • Compiler intrinsics for portability
Performance Benchmarks
Simple Moving Average
1M candles processed
faster than CPU
RSI Calculation
100k candles processed
faster with SIMD
Bollinger Bands
1M candles processed
GPU acceleration
Benchmarked on NVIDIA RTX 4090 | AMD 9950X
*Performance varies by workload, data size, and hardware configuration
Open Source Philosophy
All VectorAlpha projects are open source, fostering transparency and community collaboration in quantitative finance.
Why Open Source?
- Transparency builds trust in financial systems
- Community contributions improve quality
- Reproducible research advances the field
- Lower barriers to entry democratize finance
Apache License 2.0
All VectorAlpha projects are released under the Apache License 2.0, providing maximum flexibility for both commercial and non-commercial use while ensuring contributions remain open.
This permissive license allows you to use, modify, and distribute our software in your own projects without viral licensing concerns.
Built with Modern Technologies
Rust
Memory safety without garbage collection. Zero-cost abstractions and fearless concurrency.
CUDA
Direct GPU programming for maximum performance. Custom kernels for financial computations.
WebAssembly
Near-native performance in browsers. Interactive demos without server infrastructure.
What's Next?
Ready to accelerate your quantitative workflows?
Join thousands of developers using VectorAlpha for high-performance financial computing