Codify provides an AI‑powered, browser‑based backtesting platform that lets traders and quantitative analysts simulate algorithmic strategies on historical market data with realistic execution, slippage, and cost models. The system automatically generates performance metrics, risk assessments, and visual reports, enabling rapid iteration and optimization without the need for extensive coding or infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Traders and quantitative analysts often lack accessible tools to evaluate algorithmic trading strategies with realistic market data, leading to time‑consuming manual testing and unreliable performance estimates.
Solution
Codify offers an AI‑powered backtesting platform that automates the simulation of trading strategies against historical market data. Users upload or define their algorithms, and the system runs high‑fidelity simulations, applying realistic order execution, slippage, and transaction cost models. The AI engine analyzes results to generate performance metrics, risk assessments, and visual reports, enabling rapid iteration and optimization of strategies without extensive coding or infrastructure setup.
Target Audience
Primary users are individual traders, quantitative analysts, and small hedge funds seeking an efficient, low‑setup solution for testing and refining algorithmic trading strategies.
Features
- Browser‑based interface that runs entirely client‑side with JavaScript, requiring no software installation
- AI-driven scenario generation that adapts market conditions to stress‑test strategies across multiple asset classes
- Built‑in execution models for realistic order handling, slippage, and fee calculations
- Interactive dashboards displaying equity curves, drawdown analysis, and key performance indicators
- Exportable reports and CSV data for further analysis or integration with external tools