QRT

Welcome to the official documentation for QRT, the flagship Liquid Staking Token (LST) within the AQTIS ecosystem. This document provides comprehensive insights into what QRT is, how it works, and its role in the broader AQTIS landscape.

What is QRT?

QRT, short for Quant Reserve Token, is one of AQTIS’s premier LSTs. It is designed with a dynamic yield mechanism that responds to market conditions, offering unique features not found in other LSTs. The ‘q’ represents the integration of AQTIS’s proprietary quant technology, which drives the token’s performance and stability.

What makes QRT distinct is its adaptive yield structure, which adjusts based on the popularity and demand for the token. This flexibility ensures that even during shifts in market participation, QRT continues to deliver attractive returns.

QRT is structured for users with a higher risk tolerance and a focus on maximizing potential growth. It provides exposure to both fixed and variable returns.

APY Structure:

  • Fixed APY: 10% in USDC + 5% in AQTIS

  • Variable Yield: Performance-based yield up to an additional 45%, tied to the quant team's ongoing market strategy and performance.

  • Total APY: up to 60%

  • Risk Profile: Potential downside risk up to 30%, reflecting the higher growth potential and volatility.

Key Features:

  • Growth-Oriented Yield: QRT combines a fixed yield with additional variable performance yield potential, allowing holders to benefit from positive market movements.

  • Risk-Reward Balance: While there is an increased downside cap of up to 30%, QRT’s structure is suited for users seeking higher returns and willing to accept a degree of risk.

  • Upside Potential: With up to 60% upside potential (including variable performance yield), QRT offers significant growth opportunities for those looking to diversify beyond the stable returns provided by QSD.

Disclaimer: Please note that percentage yields are indicative and not guaranteed. The performance of AQTIS LSTs, including QRT, can fluctuate based on market dynamics and the effectiveness of the quant strategies that drive yield generation.

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