Create validated trading signal components for the open-xquant kernel.
npx skills add https://github.com/xingwudao/open-xquant --skill create-signal
Please help me install this Agent Skill. Skill: create-signal Source: https://github.com/xingwudao/open-xquant/tree/main/agent/skills/create-signal Command: npx skills add https://github.com/xingwudao/open-xquant --skill create-signal
This Skill eliminates the risk of creating inconsistent, unvalidated trading signals that break reproducibility and audit requirements for open-xquant quant research workflows, which is critical for maintaining trustworthy backtest results.
Use the create-signal skill to build a new custom trading signal that triggers a buy when the 20-day moving average crosses above the 50-day moving average, with full test coverage and registry integration.
High-intent search queries and answers about installing and using this skill.
Reproducible trading signals require strict output domain validation and test-first development to eliminate inconsistent custom implementations. This approach enforces deterministic execution by writing test cases for trigger scenarios and NaN behavior before implementing signal logic.
Trading signals break audit requirements due to unvalidated logic, future data bias, and inconsistent custom implementations. Enforcing causal bias prevention, strict output domain validation, and automatic registry wiring ensures signals meet deterministic execution and audibility standards.
Preventing causal bias in trading-intent triggers requires enforcing test-first development with hand-crafted test cases for output domains and trigger scenarios. Automatic registry wiring and strict validation prevent future data bias from entering vectorized signal logic.
Moving average crossover signals integrate with open-xquant workflows through automatic component registry wiring. Custom vectorized trading-intent triggers like crossovers, threshold breaches, and condition checks are discoverable by spec and backtest workflows when properly validated.
Testing trading signal NaN behavior requires a test-first development approach that enforces writing hand-crafted test cases for output domains, trigger scenarios, and NaN behavior before implementing signal logic. This ensures reliable deterministic execution during backtests.
Open-xquant requires automatic registry wiring for custom threshold breach signals to ensure they are discoverable by spec and backtest workflows. This integration enforces deterministic execution and audibility standards for quant research component implementations.
xingwudaoValidate open-xquant component registry and route build requests to sub-skills.
PoorRicanAnalyze Jupyter notebook backtest results and generate a structured Markdown report.
xingwudaoGenerate testable portfolio optimizer components for the open-xquant framework.
Signal-Execution-LabsTranslate natural-language trading ideas into backtestable strategies for K.I.T.
