
BacktestForge is a Python backtesting framework built for practitioners who demand institutional-quality validation. Unlike toy backtesting libraries, BacktestForge includes walk-forward optimization, Monte Carlo stress testing, realistic transaction cost modeling, and publication-ready performance reports. The framework is designed around the principle that a backtest is only as good as its validation methodology. Every feature is built to help you distinguish genuine edge from data-mining artifacts.
Early-bird pricing available for waitlist members
BacktestForge is currently in development. Enter your email to get notified when it becomes available — plus early-bird pricing.
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Multi-source data ingestion with caching
Event-driven strategy framework
Walk-forward with parameter search
Monte Carlo engine with trade shuffling
PDF/HTML report generation with Plotly charts
QuantConnect & Zipline format conversion
BacktestForge is currently in development. Enter your email to get notified when it becomes available — plus early-bird pricing.
No spam. Unsubscribe anytime.
This consulting package is currently being developed. Join the waitlist to be notified when it launches — plus receive early-bird pricing.
BacktestForge is currently in development. Enter your email to get notified when it becomes available — plus early-bird pricing.
No spam. Unsubscribe anytime.