research-analyze

Analyze backtest results with AB comparisons and bias screening.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/danny0926/NLP-data-for-trading --skill research-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-analyze
Source: https://github.com/danny0926/NLP-data-for-trading/tree/main/.claude/skills/research-analyze
Command: npx skills add https://github.com/danny0926/NLP-data-for-trading --skill research-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze backtest results to surface actionable insights, perform AB comparisons, and enable rigorous bias screening for investment research.

Core Features & Use Cases

  • Collect experimental results from scripts: Event Study CAR data, statistical test outcomes, and group comparison tables.
  • Generate structured AB comparison views and bias screening reports to support decision making.
  • Produce a formal analysis narrative and ready-to-share report for stakeholders.

Quick Start

Run the analysis workflow on the latest experiment outputs to generate a comprehensive AB comparison and bias screen.

Frequently Asked Questions about research-analyze

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

FAQPage Schema
How do I analyze backtest results for statistical significance in investment research?

Analyze backtest results by comparing baseline and treatment strategies, evaluating statistical significance, and generating structured AB comparison reports to support investment research decisions.

What is bias screening in backtest analysis and when do I need it?

Bias screening in backtest analysis identifies systematic errors in experimental results. It is needed when evaluating event study CAR data and group comparison tables to ensure rigorous investment research outcomes.

How do I generate a formal analysis report from AB testing experimental outputs?

Generate a formal analysis report by collecting experimental results, performing statistical checks, and structuring AB comparisons with bias screening into a ready-to-share narrative for stakeholders.

Can I use this approach to compare baseline and treatment strategies for finance analysis?

Yes, you can compare baseline and treatment strategies for finance analysis by applying stepwise data collection and statistical significance checks to produce structured output with actionable recommendations.

What is the best way to turn event study CAR data into actionable insights?

Turn event study CAR data into actionable insights by running an analysis workflow that surfaces AB comparisons, performs bias screening, and generates a comprehensive formal report for decision making.