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AlphaForge Documentation

AlphaForge is a local CLI that unifies time-series backtesting, Bayesian optimization, and walk-forward validation. Everything runs on your own machine — strategy data, trade history, and API keys never leave your environment.

This documentation walks through installation, strategy development, and integration with AI coding agents.

Who this is for

  • Engineers and quant researchers looking for an alternative to Backtrader, vectorbt, and similar frameworks
  • Developers who want to version-control strategies as code (JSON)
  • Users who want to combine Claude Code, Codex, and other coding agents with AlphaForge to autonomously explore and optimize strategies
  • People who want Bayesian optimization and walk-forward validation in a single command

Topics

  • Getting Started — Installation, license activation, and your first backtest (10-minute Free-plan walkthrough included)
  • Use Cases by Goal — Pick the most relevant next page based on your role (TradingView user / Python developer / Quant / Auto-trading / AI agent user)
  • CLI Reference — Every forge command with parameters and output examples
  • Strategy Templates — Combination strategies like HMM × BB × RSI with concrete JSON
  • AI-Driven Strategy Exploration Workflow — A how-to for autonomous strategy development with Claude Code / Codex × AlphaForge
  • Legal & Disclaimers — Disclaimers, EULA, and Privacy Policy