Documentation Hub
Your central resource for all VectorAlpha technical documentation. Navigate to specific project docs, explore general guides, or find the resources you need to get started.
Quick Navigation
Project Documentation
Technical Analysis Library
SIMD and CUDA accelerated TA library (300+ indicators)
Backtesting Engine
GPU resident optimizer and backtester with VRAM resident data paths
Options Analytics Engine
GPU accelerated options pricing and Greeks at microsecond speed
General Resources
Development Guides
Integration Resources
Technical Concepts
Getting Started
Installation
Current public packages for VectorTA:
Rust Crate (crates.io)
cargo add vector-ta
Python Wheels (PyPI)
python -m pip install vector-ta
Prerequisites
- Rust 1.70 or higher
- CUDA Toolkit 11.0+ (optional, for GPU acceleration)
- C++ compiler with AVX-512 support (optional, for SIMD optimizations)
- Python 3.8+ (optional, for Python bindings)
Coming Soon
Video Tutorials
Step-by-step video guides for common use cases and advanced features
Interactive Examples
Live coding environments with pre-configured examples
API Migration Guides
Detailed guides for migrating from other technical analysis libraries
Performance Benchmarks
Comprehensive performance comparisons and optimization guides
Need Help?
Can't find what you're looking for? Our community and support team are here to help.