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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

Lead Developer

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