Intelligence Layer
Last updated
Last updated
The Intelligence Layer leverages machine learning and data analytics to make informed decisions and maximize yield opportunities by providing personalized insights, backtests, and risk evaluations. With a data-driven approach, it offers optimized recommendations tailored to individual risk preferences and financial goals.
Access to Codefi Dashboard - Available via Web App, Mobile App, or CLI.
Input Prompts - Users can input prompts in natural language to ask the AI about DeFi trends, asset-specific & real-time yield opportunities, or market insights - our AI model delivers data-driven and actionable responses.
Strategy Selection - Based on user inputs, the model analyzes real-time price, APY, TVL, volume etc. to generate strategy recommendations. Users can either follow AI-generated strategies or select any DEX pair or DeFi platform with available pool data on our platform.
Smart Configuration - Users set the framework for the selected strategy (setting LP price range or asset exposure etc.) and the AI-model fine-tunes the yield estimations by factoring in IL, gas fees, and slippage.
Risk Assessment - The AI model generates strategy insights by assessing factors like historical volatility, yield performance, pool/platform risks, or asset price trends that align with users’ risk tolerance and preferences.
Backtest Simulation - Once the strategy details are refined, the model simulates the user’s strategy against historical data. The insights provided allow users to iterate and improve their strategies based on real performance data.
Performance Estimation - Leveraging insights from the risk assessment stage, the AI model trains on historical data to forecast the performance of user-built strategies by evaluating the accuracy of its past strategies and insights. Users can then fine-tune their approach for better alignment with their goals.
