Epsilab is an AI-powered quantitative research platform that transforms natural language trading ideas into systematic strategies, runs comprehensive backtests with realistic market conditions, and automatically optimizes parameters—all through a simple interface.
Who is it for?
Epsilab is designed for quantitative researchers, algorithmic traders, and portfolio managers who want to:
Generate strategies from natural language descriptions
Automatically optimize parameters through systematic testing
Run systematic backtests with realistic transaction costs and market impact
Aggregate multiple strategies into risk-managed portfolios
Conduct iterative research through AI-powered strategy improvement
How It Works
From trading idea to live portfolio:
Describe → Enter your trading idea in natural language
Generate → AI creates and backtests your strategy automatically
Optimize → System finds the best parameters for your strategy
Research → Iteratively improve through multiple variations
Deploy → Add winning strategies to your live portfolio
What's Supported
Epsilab currently supports:
Markets: US equities (stocks and ETFs) and currencies (crypto + forex)
Data: Daily market data and corporate actions
Strategy Types: Technical, fundamental, factor-based, and quantitative approaches
Timeframes: Multiple rebalancing frequencies from intraday to monthly
Getting Started
Ready to build your first strategy? to walk through the complete process from idea to deployment.