{"skill":{"slug":"algo-builder","displayName":"Algo Builder","summary":"Build and test systematic daily-to-weekly trading algorithms through hypothesis, signal validation, backtesting, and strategy development steps.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":320,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1773185288690,"updatedAt":1777525826699},"latestVersion":{"version":"1.0.0","createdAt":1773185288690,"changelog":"Algo Builder Skill 1.0.0\n\n- Initial release of the Algo Builder skill for systematic trading pipeline construction.\n- Provides a step-by-step process: Hypothesis → Signal Test → Strategy Construction → Backtest → Walk-Forward → Paper Trade → Live.\n- Includes detailed guidance and code templates for rigorous signal/feature testing (IC, ICIR, regime checks, decay).\n- Explicitly optimized for daily-to-weekly (swing/factor/position trading) strategies; not designed for HFT.\n- Guides users to document and validate trading hypotheses before coding or backtesting.\n- Supplies best practices, templates, and sample Python code to ensure robust research and avoid common overfitting pitfalls.","license":"MIT-0"},"metadata":null,"owner":{"handle":"tonbistudio","userId":"publishers:tonbistudio","displayName":"tonbi","image":"https://avatars.githubusercontent.com/u/193647965?v=4"},"moderation":null}