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research-report

Generate alpha research reports with performance metrics, quintile analysis, and backtest results.

Updated Aug 27, 2026
Search Tags:#data visualization#report generation#backtesting#signal analysis#quantitative trading#alpha research
One-click install
npx skills add https://github.com/maminul007/trading-platform --skill research-report-maminul007
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-report
Source: https://github.com/maminul007/trading-platform/tree/main/.claude/skills/research-report
Command: npx skills add https://github.com/maminul007/trading-platform --skill research-report-maminul007

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of comprehensive research reports for alpha signals and strategies, providing deep insights into their performance and characteristics.

Core Features & Use Cases

  • Automated Report Generation: Creates detailed reports including signal metrics, backtesting results, and visualizations.
  • Signal Analysis: Analyzes individual signals or entire strategies with options for screening, backtesting, and visualization.
  • Export Capabilities: Exports reports in various formats like PDF, HTML, and Markdown.
  • Use Case: A quantitative analyst needs to assess the viability of a new momentum-based trading signal. They use this Skill to generate a full research report, including performance metrics, quintile analysis, and backtested results with transaction costs, to make an informed decision.

Quick Start

Generate a full research report for the 'momentum_20d' signal.

Frequently Asked Questions about research-report

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

FAQPage Schema
How do I generate a comprehensive alpha research report for trading signals?▼

To generate a comprehensive alpha research report, input your trading signals to automatically calculate performance metrics, run backtests with transaction costs, and export the results to PDF, HTML, or Markdown formats.

What metrics are included in quantitative trading signal analysis?▼

Quantitative trading signal analysis includes performance metrics, quintile analysis, decay analysis, factor exposure, turnover, and transaction costs to provide deep insights into signal viability.

Can I export backtesting results and visualizations to PDF or HTML?▼

Yes, you can export backtesting results and data visualizations directly to PDF, HTML, or Markdown formats, while also having the option to save the analysis results to a database.

Does this tool support signal screening and strategy backtesting?▼

Yes, the tool supports signal screening and strategy backtesting, allowing you to analyze individual signals or entire strategies with detailed visualizations and performance assessments.

What is the best way to assess the viability of a new momentum-based trading signal?▼

The best way to assess a new momentum-based trading signal is to generate a full research report that evaluates quintile analysis, factor exposure, and backtested performance with transaction costs.

Do I need a specific database setup to save alpha research report results?▼

You can optionally save your alpha research report results to a database, but it is not strictly required, as reports can also be exported as PDF, HTML, or Markdown files for local review.

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