AQTIS Documentation
  • Introduction to AQTIS
  • QSD
    • What is QSD?
    • How does the yield work?
    • How do I buy QSD?
    • How do I generate yield?
    • How do I claim my rewards?
    • A deeper dive into how the yield works
    • QSD pricing dynamics
    • Permissionless Exit
    • How do I sell my QSD?
    • Quant Technology’s role in QSD
    • Compliance
    • In summary
  • QRT
    • Securing the quant tech
    • How do I claim my rewards?
    • Claiming Mechanics
    • Quant Tech Liquidity Management
    • Difference with Other LSTs
    • Compliance
    • In Summary
  • Quant Tech & AI Explained
    • Why we use quantitative techniques
    • The Investment Strategy Portfolio
    • The AQTIS Investment Thesis
    • Why we use Machine Learning/AI in our portfolio
    • How we manage risk
    • Quant Tech Workflow
    • Quant Tech Strategies - the AQTIS secret weapon
    • Conclusion
  • Quant Performance
  • Tokenomics
  • Ecosystem Liquidity Insurance Fund (ELIF)
  • Ecosystem Liquidity Aggregator
  • Calculations
    • Testing Performance
    • Total Value Locked
    • Liquidity Utilization
    • Position Sizing
    • The impact of slippage on performance
    • In summary
  • What is the AQTIS Buyback Process?
  • AQTIS FAQ
    • AQTIS Protocol TL:DR
    • What are Liquid Staking Tokens (LSTs)?
    • What is Quant Trading?
    • What are Composable Yields?
    • What is the Token Buyback Process and how does it contribute to Token Value?
    • Can AQTIS Freeze My Assets? What about Permissionless Exits?
    • What is the Maximum Supply of the AQTIS Utility Token?
    • What is the Maximum Transaction Amount for the AQTIS Utility Token?
    • Where Can I Buy AQTIS LSTs and the AQTIS Token?
    • What Blockchain Network Does AQTIS Utilize?
    • Is AQTIS Regulation Compliant?
    • How Does AQTIS Generate Revenue?
    • How Are Liquidity Rewards Distributed in AQTIS?
    • What’s the Minimum Staking Period?
    • Where Can I Find the AQTIS Utility Token Contract Address?
    • Why has AQTIS capped the TVL?
    • Why implement LSTs? Why not simply use a reward pool where people can withraw their "dividends"?
    • Why is there a standardized yield?
    • Why is the team not doxxed?
    • Why is AQTIS sharing its strategies with the community?
  • Disclaimer
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  1. Calculations

Position Sizing

The key question for our protocol is finding the sweet spot between performance and TVL, this is what’s called Position Sizing.

In our weighted strategies, the average performance stands at 108.75%. However, if only 10% is utilized at 1 billion TVL, this would result in a 10.875% APY on the total TVL.

On the other hand, targeting 250 million TVL would lead to approximately 40% utilization and a 43.5% performance. With a 500 million TVL, the overall performance would be 21.75%.

The critical question is determining the necessary performance number to maintain the sustainability of our ecosystem and structure. Currently, our average utilization aims at 46.67%, resulting in a balanced annual performance of 50.75%.

Our average Annual Percentage Yield (APY) to manage the LPs and back the yield from the LSTs ranges from approximately 12.5% to 15%. Out of this, 50% is allocated to buy-backs (18.75%) and 50% to the treasury + ELIF (18.75%). This arrangement offers a compelling proposition for token holders, including LST token holders, AQTIS tokenholders, and provides sufficient performance to support the ELIF fund.

If we aim for higher TVL, which leads to reduced utilization and results in a 30% performance, the breakdown would be as follows:

30% - 12.5% = 17.5% / 2 = 8.75% APY for buy-backs and approximately 8.75% for the treasury and ELIF.

This is considered a basic minimum for our standards. Performance below 30% would indicate that yield is backed, but building an insurance fund or growing our reserves becomes challenging. Hence we must optimize the TVL:Performance ratio.

In summary

  • 10% utilization results in only 10% effective performance relative to total performance.

  • 20% utilization results in only 20% effective performance relative to total performance.

  • 30% utilization results in only 30% effective performance relative to total performance, and so on.

Last updated 1 year ago