financial-computing-python
CommunityBuild robust quant Python tooling.
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the development of Python tools for quantitative finance, ensuring reproducible data transformations and testable research code.
Core Features & Use Cases
- Data Pipeline Development: Implement pandas-based pipelines for data ingestion, cleaning, and time alignment.
- Signal and Analytics Modules: Build reusable components for financial signals, portfolio logic, and analytics.
- Deterministic Diagnostics: Validate outputs with unit tests and replay datasets, ensuring feature leakage and look-ahead checks.
- Use Case: Develop a Python script to ingest daily stock prices, calculate moving averages, generate buy/sell signals, and backtest a strategy, all while ensuring data is correctly aligned and free from look-ahead bias.
Quick Start
Run the diagnostics script on your input data file.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: financial-computing-python Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#financial-computing-python Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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