xuang-ai-finance-research

Community

Create data-driven AI finance research and strategies

AuthorGitnapp
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill solves the challenge of producing rigorous AI and quantitative finance research by turning scattered analysis approaches into a structured, thesis-first workflow with measurable evidence, valuation logic, and risk controls.

Core Features & Use Cases

  • Investment Research Framework: Creates initiating coverage reports, investment memos, valuation models, scenario analysis, catalysts, and risk assessments using KPI-driven reasoning.
  • Quantitative Strategy Analysis: Supports factor research, IC/ICIR evaluation, backtest design, systematic trading workflows, and AI4Finance product specifications.
  • AI Finance System Design: Helps design investment agents, strategy platforms, dashboards, and research products grounded in structured data rather than unsupported model outputs.

Quick Start

Use the xuang-ai-finance-research skill to create a thesis-first investment report for a company with valuation scenarios, risks, catalysts, and supporting KPIs.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: xuang-ai-finance-research
Download link: https://github.com/Gitnapp/Skills/archive/main.zip#xuang-ai-finance-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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