mainsequence-instruments-and-pricing

Convert stored market data and instrument terms into runtime valuation outputs.

6|1|Updated Nov 14, 2024
One-click install
npx skills add https://github.com/mainsequence-sdk/mainsequence-sdk --skill mainsequence-instruments-and-pricing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mainsequence-instruments-and-pricing
Source: https://github.com/mainsequence-sdk/mainsequence-sdk/tree/main/docs/astro/markets_platform/instruments_and_pricing
Command: npx skills add https://github.com/mainsequence-sdk/mainsequence-sdk --skill mainsequence-instruments-and-pricing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turning stored market data and instrument terms into runtime valuation, enabling consistent and auditable pricing workflows.

Core Features & Use Cases

  • ETL registration and pricing registration separation for instrument pricing
  • runtime valuation of bonds, swaps, and positions using stored curves and fixings
  • regeneration of instrument terms into runtime pricing objects

Quick Start

Provide a simple valuation scenario to convert stored curves and fixings into runtime pricing objects.

Frequently Asked Questions about mainsequence-instruments-and-pricing

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

FAQPage Schema
How do I price bonds and swaps using stored market data and instrument terms?

To price bonds and swaps, you regenerate stored instrument terms and market curves into runtime pricing objects. This workflow enforces a clear separation between ETL registration and pricing registration to ensure consistent, auditable valuation outputs.

What is the difference between ETL registration and pricing registration in instrument pricing workflows?

ETL registration handles the ingestion and storage of market data and instrument terms, while pricing registration converts that stored data into runtime valuation objects. Enforcing this separation validates storage contracts and ensures auditable pricing workflows for bonds and swaps.

How do I apply stored curves and fixing rates to runtime valuation for finance instruments?

You apply stored curves and fixing rates to runtime valuation by regenerating instrument terms into pricing objects. This process requires explicit valuation dates and validates storage contracts to produce accurate valuation outputs for your finance positions.

Can I use QuantLib for instrument pricing and curve storage validation?

Yes, QuantLib can be used within this instrument pricing workflow to regenerate instrument terms into runtime pricing objects. The workflow validates storage contracts for your curves and fixings, ensuring accurate runtime valuation for bonds, swaps, and other positions.

Why do I need explicit valuation dates for pricing finance instruments?

Explicit valuation dates are required for pricing finance instruments to ensure accurate runtime valuation outputs. This requirement validates storage contracts and enforces the separation of ETL registration and pricing registration, maintaining auditable pricing workflows for your positions.

Does this instrument pricing workflow support curve storage and fixing rates for runtime valuation?

Yes, this instrument pricing workflow supports curve storage and fixing rates for runtime valuation. It turns stored market data and instrument terms into valuation outputs, applying these stored curves and fixings to price bonds, swaps, and other finance positions accurately.