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About VectorAlpha

We build high performance, open source tools that help traders and researchers run reliable quantitative workflows.

Our Mission

Publish the fastest open source quantitative finance libraries. GPU acceleration and microsecond latencies as the baseline, not the exception.

Technical Philosophy

For us, performance means making new kinds of quantitative work possible, not just shaving a few milliseconds. Our libraries make deliberate use of modern hardware capabilities including:

GPU-accelerated computations

CUDA GPU Acceleration

Massive parallelization for complex computations

Technical indicators

AVX-512 SIMD Instructions

Vectorized computations for CPU optimization

Rust programming language

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 with:

  • 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 Open Source Team

Daniel Liszka - Software Engineer specializing in high-performance computing and GPU programming

Daniel Liszka

Software Engineer

Focused on high performance computing, GPU programming and systems development. Builds efficient, scalable solutions using modern hardware and optimization techniques.

Open Source Activity

Selected repository statistics from our technical analysis library.

Join the VectorAlpha Community

Whether you're a developer, researcher, or trader, there's a place for you