3.2 Detailed Query Breakdown

3.2 Detailed Query Breakdown

Sample Query

"Identify the top 5 liquidity pools with the highest yield increase over the last 7 days, and predict their performance for the next 14 days based on historical trends and market volatility."

Components of the Query

Timeframe Analysis

• Historical Data Window:

  • Last 7 Days: Analyze recent performance to identify short-term yield increases.

• Predictive Forecasting Window:

  • Next 14 Days: Project future performance to inform medium-term investment strategies.

Factors Considered

• Yield Increase:

  • Quantitative measurement of yield changes over the specified period.

• Historical Trends:

  • Analysis of past performance patterns and cyclical behaviors.

• Market Volatility:

  • Assessment of price fluctuations and external factors impacting the pools.

Objective of the Query

• Identify High-Performing Pools:

  • Focus on liquidity pools exhibiting significant positive yield trends.

• Predict Future Performance:

  • Utilize predictive analytics to forecast potential returns and associated risks.