Methodology Overview
This section documents the mathematical foundations of Funding Yield OS. The system is designed to be deterministic, auditable, and reproducible.
Design Principles
- Pessimistic by default — Assume funding will decay, not persist
- Explicit assumptions — All defaults are stated, not hidden
- Deterministic computation — Same inputs produce same outputs
- Reproducible results — Metrics can be reconstructed from raw data
Core Model Pipeline
Raw Funding Data
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Funding Rate Model (Annualization)
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Persistence Model (Half-Life, Decay)
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Survivability Model (Mirage Adjustment)
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Capacity Model (Crowding Effects)
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Simulation Engine (Position-Level PnL)
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Trust Layer (Reliability Grading)Notation Reference
| Symbol | Meaning |
|---|---|
| Funding rate per interval | |
| Funding interval in hours (typically 8) | |
| Funding intervals per year (typically 1095) | |
| Annualized funding APR | |
| Exponential decay coefficient | |
| Funding half-life in hours | |
| Holding horizon in hours | |
| Decay factor | |
| Survivability factor | |
| Survivable APR | |
| Mirage ratio | |
| Soft capacity (USD) | |
| Hard capacity (USD) | |
| Capacity penalty factor | |
| Open interest (USD) |
Conventions
- APR values are expressed in percent points (e.g., 50.0 = 50%)
- Ratios are stored in [0, 1] space
- Capacity values are in USD
- Scores are on [0, 100] scale
- Money values round to cents only at presentation boundaries
Documentation Sections
- Funding Rate Model — Annualization and raw rate handling
- Persistence & Decay — Half-life estimation and decay modeling
- Survivability Model — Mirage ratio and survivable APR
- Capacity Model — Crowding effects and capacity curves
- Simulation Engine — Position-level PnL calculation
- Trust Layer — Reliability grading and prediction accuracy
Source Reference
This documentation is derived from the internal Mathematical Specification, which serves as the canonical reference for engineering, QA, and audit purposes.