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.

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Project Documentation

API references and guides for specific libraries

General Resources

Cross-project guides and best practices

Getting Started

Installation guides and quickstart tutorials

Project Documentation

Technical Analysis Library

SIMD + CUDA‑accelerated TA library (300+ indicators)

beta
Overview API Reference Examples Playground GitHub

Backtesting Engine

GPU‑resident optimizer/backtester with VRAM‑resident data paths

in-development
Overview Wiki GitHub

Options Analytics Engine

GPU‑accelerated options pricing and Greeks at microsecond speed

in-development
Overview Wiki GitHub

Getting Started

Installation

All VectorAlpha libraries are available through standard Rust package management:

Technical Analysis Library

cargo add vectoralpha-ta

Backtesting Engine

cargo add vectoralpha-backtest

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)

Next Steps

Quickstart Tutorial

Build your first indicator

Strategy Development

Create trading strategies

Performance Tuning

Optimize for production

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

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