Analyze VPS trade data with Wilson CI and kruistabellen checks.
npx skills add https://github.com/Liquilab/Bottie --skill analyse-liquilab
Please help me install this Agent Skill. Skill: analyse Source: https://github.com/Liquilab/Bottie/tree/main/.claude/skills/analyse Command: npx skills add https://github.com/Liquilab/Bottie --skill analyse-liquilab
This Skill provides a structured framework for analyzing trade activity using VPS data, enhanced by Wilson confidence intervals, cross-tabulation checks, and confounding validations to ensure accurate performance assessment.
Run the /analyse command to generate a full-depth statistical analysis and compare results against the dashboard.
High-intent search queries and answers about installing and using this skill.
Cross-tabulation checks validate VPS trade data to identify confounding variables affecting P&L. By comparing subsets across multiple markets and time windows, this approach ensures accurate performance interpretation and reliable strategy decisions.
Calculating Wilson confidence intervals for VPS trade data provides reliable performance bounds for your trade analysis. This statistical method ensures accurate P&L interpretation by measuring uncertainty across multiple markets and weekly deep-dives.
Run a structured weekly deep-dive by analyzing VPS-based trade data with Wilson CI and cross-tabulation checks. This deterministic workflow compares statistical results against your dashboard to support strategy decisions across multiple time windows.
Yes, this trade analysis approach explicitly supports strategy decisions across multiple markets and time windows. By applying Wilson confidence intervals and confounding checks, it ensures accurate P&L interpretation regardless of market scope.
Dashboard P&L interpretation often differs from statistical analysis due to hidden confounding variables. Applying Wilson confidence intervals and cross-tabulation checks to VPS trade data validates the dashboard results and ensures accurate performance assessment.
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