Amulet
  • Overview
    • Introduction
    • Problems Solved
  • Product
    • Liquid Staking
      • Stake SOL for amtSOL
      • Delegation Strategy
      • amtSOL
    • Liquidity Mining
    • Yield With Built-In Protection
      • Automated Strategies
      • AmuVaults
      • AmuShield
      • Amulet Safety Fund
      • Oracle Integration
      • Fees
      • 17-Point Risk Inspection
    • Cover Underwriting
      • Underwriting Mining
      • aUWT
      • Risk Underwriting
      • Risk Management
      • Product Offerings and Distribution
      • Pricing Model
      • Capital Management
      • Claim Assessment
    • Cover Products
      • Smart Contract Vulnerability Cover
      • Audit Refund Cover
  • AMUVERSE
    • What is AmuVerse?
    • Referral Program
  • Tokenomics
    • AMU
    • AMU Staking
    • veAMU
    • Treasury
  • Whitepaper
    • Amulet V1 Whitepaper
    • Amulet V2 Whitepaper
  • Roadmap
    • Roadmap
  • user guide
    • Liquid Staking Guide
    • Liquidity Mining Guide
    • Farming Guide
    • Cover Underwriting Guide
    • Buy Cover Guide
    • Cover Claim Guide
    • AmuVerse Guide
    • AMU Staking Guide
    • AMU Bridge Guide
  • security
    • Liquid Staking & Underwriting Audit Report
    • Yield Platform Audit Report
  • DEVELOPER
    • Smart Contract
    • SDK Integration
  • RESOURCES
    • Website
    • X
    • Discord
    • Telegram
    • Media Kit
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  1. Product
  2. Cover Underwriting

Pricing Model

The risk protection business is an endeavor to hedge against uncertain future losses, in which the covered person trades risk with RPPs through payments for cover products. Product pricing is at the heart of any risk protection business and Amulet builds its pricing model based on proven practices and historical data.

The aim of product pricing is to find and charge a fair, affordable, and competitive price for users. It should reflect the risks undertaken by the protocol and be quick to adapt to fast-changing risk settings. Amulet's pricing models enable it to get a fair estimate on expected losses, reduce costs for users, and enhance the protocol's long term viability.

Amulet's pricing models take a multi-faceted approach when determining risk. For example, its Smart Contract Cover uses audit reports, operational history, team info, etc. to generate a base rating for a protocol. The base rating, along with protocol APY and supply-demand factors, will be used to determine a cover product's price. Supply and demand is typically measured via a bonding curve between price and cover capacity. Basically the more capacity available, the lower the cover product's price and vice-versa.

Stablecoin De-peg Cover rely on economic simulations of historical data to test and identify the initial limits of the cover product, followed by further refinement through the incorporation of data from current market indicators and forward-looking assumptions. Amulet will carefully select and define these limits at the start, then constantly refine the product as it receives new information.

As more and more data becomes available, Amulet will be able to develop and fine tune increasingly sophisticated data-driven pricing models with the help of Machine Learning technology.

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Last updated 8 months ago