Launching today
QuantJourney Backtester
Open-source Python engine for defensible portfolio research
7 followers
Open-source Python engine for defensible portfolio research
7 followers
An open-source Python backtesting engine built for reproducible portfolio research—not just equity curves. Trace signals into weights, orders, fills, cash, positions and performance. Use fast vectorized research or order-aware simulation, with transaction costs, walk-forward testing, 80+ metrics, 25+ charts and 50 strategy examples. Runs locally; optional managed market data is available through the QJ API.
