Descriptions:
This video demonstrates how to build a fully automated trading bot using Claude Code, Anthropic’s AI coding agent, without writing any code manually. The finished system connects to Alpaca, a real brokerage API, and uses Hidden Markov Models (HMMs) to classify market regimes — crash, bear, neutral, bull, and euphoria — dynamically adjusting portfolio allocations, position sizes, and risk parameters based on the detected environment.
The tutorial covers all five architectural components in detail: the HMM brain trained on two years of daily data, an allocation engine that maps regimes to capital exposure, a risk layer with circuit breakers and drawdown limits, the Alpaca brokerage integration for live order placement, and a real-time dashboard displaying regime confidence, portfolio value, signal feed, and P&L. A technically important implementation detail is the use of the forward algorithm exclusively (rather than the standard predict function) to eliminate lookahead bias — a common pitfall in time-series model development. The system also includes a regime stability filter that requires at least three consecutive bars of consistent classification before acting, reducing false signals during choppy transitions.
For developers interested in using Claude Code as a coding agent for quantitative finance applications, the video provides a structured prompting approach and explains how to guide the agent toward correct statistical methodology. A disclaimer notes this is educational content, not financial advice.
📺 Source: AI Pathways · Published April 10, 2026
🏷️ Format: Hands On Build
