Pricing & Reference Data
This directory contains documentation for pricing engines, reference data management, and market data services.
๐ Overview
The Pricing & Reference Data service provides real-time and historical pricing information, asset reference data, and market analytics to support trading, risk management, and reporting operations.
๐ Documentation Structure
Pricing Engines
- [Real-time price calculation methodologies to be documented]
- [Historical price data management]
- [Price validation and quality controls]
Reference Data
- [Asset master data and identifiers]
- [Corporate actions and lifecycle events]
- [Market calendars and trading schedules]
Market Analytics
- [Volatility calculations and risk metrics]
- [Performance attribution and analytics]
- [Benchmark and index calculations]
๐ Data Quality & Governance
Pricing and reference data maintains high standards:
- Data validation: Multiple source validation and reconciliation
- Quality controls: Automated anomaly detection and alerts
- Audit trails: Complete data lineage and change history
- Access controls: Role-based data access and permissions
๐ Key Features
Real-time Pricing
- Multi-source aggregation: Price feeds from multiple exchanges
- Consensus pricing: Weighted average and median calculations
- Fair value estimates: Model-based pricing for illiquid assets
- Currency conversion: Real-time FX rates and conversions
Reference Data Management
- Asset identification: Standard identifiers (ISIN, CUSIP, etc.)
- Corporate actions: Dividends, splits, mergers, and spin-offs
- Market data: Trading calendars, settlement cycles, and rules
- Regulatory data: Compliance classifications and restrictions
๐ API Reference
Pricing and reference data operations are defined in:
pricing-refdata.yaml- Complete API specification
๐งช Coming Soon
- Pricing methodology documentation
- Reference data workflows
- Data quality and validation processes
- Market data integration patterns
Enterprise-grade pricing and reference data with institutional accuracy standards.