zeta-replicate-model

Replicate financial models from QuantLib, Bloomberg, or papers into zetaterminal.

Updated Aug 27, 2026

Search Tags:#financial modeling #risk management #bloomberg #zetaterminal #model replication #quantlib

Ready to run

npx skills add https://github.com/russiankendricklamar/zetaterminal --skill zeta-replicate-model

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zeta-replicate-model
Source: https://github.com/russiankendricklamar/zetaterminal/tree/main/.claude/skills/zeta-replicate-model
Command: npx skills add https://github.com/russiankendricklamar/zetaterminal --skill zeta-replicate-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured process for replicating complex financial models from external frameworks into the zetaterminal system, ensuring accuracy and consistency.

Core Features & Use Cases

Model Porting: Step-by-step guidance for translating models from sources like QuantLib, Bloomberg, RiskMetrics, or academic papers.
Validation: Emphasis on gathering reference values and writing comprehensive tests to ensure fidelity.
Framework Integration: Instructions for creating Python services, Pydantic models, API endpoints, and Vue frontend components.
Use Case: A quantitative analyst needs to implement a specific Heston model from a research paper into zetaterminal for real-time pricing. This Skill guides them through documenting the math, writing the code, and testing it against known results.

Quick Start

Use the zeta-replicate-model skill to port the Black-Scholes model from the Hull Ch.15 example into zetaterminal.

Frequently Asked Questions about zeta-replicate-model

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

FAQPage Schema

How do I port a financial model from QuantLib to a new platform?▼

To port a financial model from QuantLib, you must document the mathematical specifications, implement Python services and API endpoints, and rigorously test against reference values to ensure accurate model replication.

What is the process for replicating quantitative models from academic papers?▼

Replicating quantitative models from academic papers involves detailing the mathematical specification, writing service code, developing API and frontend components, and validating the implementation with reference values and edge cases to ensure model fidelity.

Can I use Bloomberg pricing models within zetaterminal?▼

Yes, you can integrate Bloomberg pricing models within zetaterminal by following a structured porting process that translates mathematical logic into Python services, Pydantic models, and API endpoints validated against known Bloomberg outputs.

How do I test ported financial models for accuracy and edge cases?▼

You test ported financial models for accuracy by gathering reference values from the original source, writing comprehensive test suites, and validating the mathematical specification and API implementation against known results and edge cases.

Does zetaterminal model replication require Vue frontend component development?▼

Yes, zetaterminal model replication requires Vue frontend component development to complete end-to-end integration, alongside creating Python services, Pydantic models, and API endpoints to fully implement the ported quantitative model.