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  • Introduction
    • Welcome to Alchemis
      • Important links
      • Vision
  • How Analys works
    • Introducing Analys
      • Protocols Analysis
      • Tokens analysis
    • Machine learning
      • Expected yield calculation
      • Risk calculation
      • Protocol deposit requirements
      • Aggregating the results
  • Getting Started
    • Understand the risks
    • Documentation in progress
  • Smart contract interactions
    • ALS token deposit
    • Multi-protocol interactions
    • Withdrawal process
  • Liquidity pool
    • Documentation in progress
  • ALS token
    • Tokenomics
    • Utility
    • Burn mechanism
  • Resources
    • Security
    • Legal
    • Roadmap
    • Glossary
    • Litepaper
    • FAQs
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On this page
  • Reward to risk ratio
  • Strategy development
  • Final recommendation
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  1. How Analys works
  2. Machine learning

Aggregating the results

Putting everything together.

Reward to risk ratio

By combining expected yield with risk, it is easy to infer a reward to risk ratio (IFS/RIS), which is the determinant criterion for the investment strategy recommendation as well as simple risk.

Strategy development

In order to reduce risks linked to the under-diversification of investments, Analys creates a strategy composed of multiple TAFs, all sharing a comparable reward to risk ratio and risk, the TAFs being separated in multiple protocols as well as well as different tokens to reduce the risks linked to one specific factor.

The goal is to create a complete strategy that will be recommended to the end user.

Final recommendation

By using the users preferences, Analys suggests them a complete investment strategy via the interface that can be deployed by the click of a button. The strategy corresponds to the reward to risk ratio, risk, deposit amount and earning period expectation information given by the user.

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