timeseries-modeling
CommunityMaster time-series data for robust forecasting.
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of time-series modeling, ensuring reproducible research, robust implementation, and reliable production controls for quantitative analysis.
Core Features & Use Cases
- Comprehensive Diagnostics: Automates essential checks for residual structure, parameter stability, numerical convergence, and forecast accuracy.
- Controlled Release: Enforces strict validation and risk controls before model deployment.
- Use Case: When building a financial forecast model, use this Skill to automatically assess its performance across different market regimes and ensure it meets predefined stability and accuracy thresholds.
Quick Start
Run the timeseries modeling diagnostics script on input.csv and save the output to diagnostics.json.
Dependency Matrix
Required Modules
pandasargparsejson
Components
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: timeseries-modeling Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#timeseries-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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