Portfolio Lab helps self-directed investors build systematic strategies with AI, validate them with live market data and paper portfolios, and decide how to use them. It brings strategy design, transparent testing, and agentic workflows together for investors who want inspectable rules.

What's included in this release:

• Investors can build around goals such as growth, downside protection, trend following, or buying dips.
• Each build produces strategy variants with visible holdings, trade timing, rationale, and risk metrics.
• Live paper trading uses real market data and virtual capital to test a strategy before deployment.
• Strategy types include hedged, long-only, long/short, momentum, mean-reversion, and regime switching.
• Claude, ChatGPT, and other MCP agents can mirror a validated strategy through the investor's brokerage account.

Together, these capabilities help investors move from an idea to a testable process while keeping decisions and evidence visible.