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shreed27
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analytics

Analyze trading performance, attribution, and strategy optimization from historical trade data.

Updated Feb 5, 2026
Search Tags:#performance#analytics#optimization#strategy#attribution#trading
One-click install
npx skills add https://github.com/shreed27/DAIN --skill analytics-shreed27
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/shreed27/DAIN/tree/main/CloddsBot-main/src/skills/bundled/analytics
Command: npx skills add https://github.com/shreed27/DAIN --skill analytics-shreed27

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides deep insights into trading performance, helping users understand where their profits come from and how to improve their strategies.

Core Features & Use Cases

  • Performance Attribution: Understand Profit & Loss (P&L) by edge source, platform, category, and strategy.
  • Time-of-Day Analysis: Identify the best and worst hours and days for trading.
  • Edge Analysis: Analyze how trading edge decays over time and its performance across different edge sizes and liquidity conditions.
  • Use Case: A quantitative trader can use this Skill to pinpoint that their most profitable edge comes from 'price_lag' on the 'Uniswap' platform during specific morning hours, allowing them to focus their efforts and optimize their trading schedule.

Quick Start

Use the analytics skill to view a summary of your performance over the last 30 days.

Frequently Asked Questions about analytics

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

FAQPage Schema
How do I analyze trading performance using historical trade data?▼

Trading performance analysis uses historical trade databases and time-series data to generate detailed statistical reports, identifying profit sources and strategy optimization opportunities.

What is performance attribution in algorithmic trading?▼

Performance attribution in algorithmic trading breaks down Profit & Loss by edge source, platform, category, and strategy, helping you understand exactly where your trading profits originate.

Can I identify the best hours and days for quantitative trading?▼

Yes, time-of-day analysis identifies the best and worst hours and days for quantitative trading by evaluating historical trade data, allowing you to optimize your trading schedule.

How does edge decay analysis work for trading strategy optimization?▼

Edge decay analysis measures how trading edge performance degrades over time and across different edge sizes and liquidity conditions, providing insights for strategy optimization.

Do I need a trade database to run quantitative trading analytics?▼

Yes, running quantitative trading analytics requires access to trade databases and time-series data to perform detailed statistical analysis and generate performance review reports.

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