GlowBack

High‑performance quantitative backtesting platform built in Rust with Python bindings and a Streamlit UI.

Highlights

• Event‑driven simulation engine with realistic execution models
• Data ingestion (CSV, Alpha Vantage, sample data)
• Arrow/Parquet storage with SQLite metadata catalog
• Strategy library (4 built‑in strategies)
• Python bindings with async support
• Streamlit UI for strategy development and analysis

Quickstart

git clone https://github.com/LatencyTDH/GlowBack.git
cd GlowBack
cargo test --workspace
cargo run --example basic_usage -p gb-types

cd ui
python setup.py
# Opens http://localhost:8501

Where to go next

• Getting Started for setup and first run
• Concepts for data model and execution details
• Tutorials for common workflows
• API Reference for bindings and crate docs