performance-analytics

Calculate Sharpe Ratio, Sortino Ratio, and maximum drawdown from historical trading data.

5|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill performance-analytics-kayzaa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analytics
Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/skills/performance-analytics
Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill performance-analytics-kayzaa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides in-depth analysis of trading performance, helping users understand and improve their strategies by quantifying risk and return.

Core Features & Use Cases

  • Performance Metrics: Calculates key metrics like Sharpe Ratio, Sortino Ratio, and Maximum Drawdown.
  • Risk-Adjusted Returns: Evaluates returns in the context of the risk taken.
  • Use Case: A trader wants to know how well their strategy performed over the last quarter, specifically focusing on its risk-adjusted profitability. They can use this skill to get a comprehensive report.

Quick Start

Use the performance-analytics skill to analyze the trading performance of the attached file 'trading_log.csv'.

Frequently Asked Questions about performance-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate the Sharpe Ratio and maximum drawdown for my trading strategy?

Calculating risk-adjusted returns requires historical trading data to quantify strategy performance. This skill analyzes your trading logs to calculate the Sharpe Ratio, Sortino Ratio, and maximum drawdown, providing comprehensive insights into your risk and return profile.

What is the best way to evaluate risk-adjusted returns for an investment portfolio?

Evaluating risk-adjusted returns involves calculating metrics like the Sortino Ratio against historical trading data. This process quantifies your investment portfolio's profitability by measuring returns in the context of the downside risk taken during the period.

Can I analyze trading performance metrics using a standard CSV file?

Yes, you can analyze trading performance metrics using a standard CSV file. The skill processes attached historical trading data files, like 'trading_log.csv', to calculate your strategy's maximum drawdown and generate a comprehensive performance report.

What financial performance metrics do I need to quantify trading strategy risk?

To quantify trading strategy risk, you need financial performance metrics like the Sharpe Ratio, Sortino Ratio, and maximum drawdown. These metrics evaluate your historical trading data to provide comprehensive insights into your strategy's risk-adjusted returns.

Does this performance analytics approach work without historical trading data?

No, this performance analytics approach requires historical trading data to function. Calculating financial performance metrics like the Sharpe Ratio and maximum drawdown requires historical trading records to provide comprehensive strategy insights.