LazyOtter
  • 👋Welcome to LazyOtter
  • Introduction
    • 💡LazyOtter
    • 🎯Vision and Mission
    • 🔑Key Products
    • 🚩Roadmap
  • 🔨Products
    • 📈Yield index
    • 💯Risk Evaluation
      • Overview
      • Protocol Risk Assessment Framework
        • Technical Risk
        • Economic Risk
        • Operation Risk
        • Sample Results
      • Token Risk Assessment Framework (WIP)
    • 🛡️Risk Monitoring & Alerts
      • Overview
      • Risk Matrix
      • Types of alerts
        • On-chain transactions
          • Anomaly transactions
          • Operation
          • Liquidation (Lending protocols exclusive)
          • Malicious address
        • Off-chain activities
          • Project & Team
          • Governance
          • Compliance
          • Market
          • Social media
          • News
    • ⚠️Emergency Withdrawal
      • Overview
      • The Phases of Hacking
    • 🎁OTTER Points
  • 🐾Getting started
    • 🛠️Step-by-Step Guides
      • 🔐Setting up a wallet
      • 🦦Connecting to LazyOtter
      • Landing Page
      • Risk Layered Vault Page
      • 📈Managing your portfolio
      • OTTER Points
    • 🧑‍🔬Testnet
  • 💻Developers
    • Overview
    • Vault
    • Contract address
      • Scroll
  • 🎇additional info
    • Twitter
    • Medium
    • Discord
    • Telegram risk alerts
    • Website
    • Design toolkit
    • Audit report
Powered by GitBook
On this page
  1. Products

Yield index

PreviousRoadmapNextRisk Evaluation

Last updated 8 months ago

In any investment decision-making process, two crucial factors to consider are return and risk. While we already have robust risk data, integrating yield data seemed like the natural next step. Initially, we thought this would be straightforward, but we quickly realized that credible yield data is challenging to obtain. After evaluating several data providers, we encountered common issues: the data were either incomplete or unverifiable.

When pulling data from centralized databases, we found that only well-known projects were listed, leaving out newer or smaller projects. Moreover, the calculation of APY (Annual Percentage Yield) is not standardized or consistent across projects, making it difficult to rely on these figures. Recognizing these limitations, we decided to build our own database.

Building a Reliable Yield Database

To ensure the highest level of accuracy, we developed an advanced simulation engine capable of mimicking the withdrawal and reward harvesting processes. This engine performs real-time simulations of the entire yield earning cycle, including the sale of reward tokens and realization of impermanent loss, to precisely calculate the actual yield. Our methodology accommodates the intricacies of various protocols, especially those with complex reward structures such as vesting schedules. This sophisticated approach allows us to generate the most accurate and reliable yield data, empowering users to make well-informed decisions based on comprehensive, real-world insights.

🔨
📈