About VectorAlpha
We build high-performance, open-source tools that empower traders and researchers to compete at the highest levels of quantitative finance.
Our Mission
We believe that advanced quantitative tools should be accessible to everyone. By combining cutting-edge performance optimization techniques with open-source principles, we're democratizing access to institutional-grade financial computation.
Technical Philosophy
Performance isn't just about speed—it's about enabling new possibilities. Our libraries leverage modern hardware capabilities including:
CUDA GPU Acceleration
Massive parallelization for complex computations
AVX-512 SIMD Instructions
Vectorized computations for CPU optimization
Memory-Safe Rust
Reliability and performance without compromises
WebAssembly Support
Browser-based deployment for universal access
Open Source Commitment
All VectorAlpha projects are released under the Apache 2.0 license. We believe in:
Transparent development processes
All development happens in the open on GitHub
Community-driven feature development
Features are prioritized based on community feedback
Comprehensive documentation and examples
Extensive guides and examples for all skill levels
Reproducible benchmarks and testing
All performance claims are backed by open benchmarks
Our Team

Daniel Liszka
Lead Developer
Software engineer with experience in high-performance computing, GPU programming, and systems development. Focused on building efficient, scalable solutions using modern hardware capabilities and optimization techniques.
Join the VectorAlpha Community
Whether you're a developer, researcher, or trader, there's a place for you