Watch Claude Opus 4.8 build, backtest, and validate a Python algorithmic trading strategy from a single prompt. Using the Jesse framework and Claude Code, the AI agent writes a trend-following Bitcoin strategy, runs statistical significance tests to rule out random noise, iterates to profitability, and stress-tests the results with Monte Carlo and out-of-sample analysis. A practical look at AI-assisted algo trading, strategy backtesting, and whether the results hold up before going live.

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## Chapters
00: 00 Introduction
00: 48 Getting Access to Opus 4.8
01: 42 Connecting Jesse to Claude Code
03: 01 Writing the First Strategy
04: 15 Testing Statistical Significance
06: 33 Iterating to Improve Results
10: 03 Exploring the Jesse Dashboard
12: 40 Running Monte Carlo Simulation
15: 35 Out-of-Sample Validation
16: 36 Final Verdict