About VectorAlpha
We build high‑performance, open‑source tools that help traders and researchers run reliable quantitative workflows.
Our Mission
Advanced quantitative tools should be accessible. By combining modern performance techniques with open‑source principles, we make production‑quality computation more widely available.
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
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