Interpreting Results
RaxBot results are designed to provide comparative insight, not direct recommendations.
Understanding how to interpret rankings and metrics is essential to using RaxBot effectively and responsibly.
Rankings Are Relative
All RaxBot rankings are relative.
A vault ranked first is not necessarily safe, optimal, or suitable for every user. It simply ranks higher than others under the selected criteria at that point in time.
Rankings should always be interpreted within the broader market and portfolio context.
Yield and Risk Context
Each result includes yield-related metrics alongside contextual risk signals.
High yield may reflect:
Temporary incentives
Low liquidity environments
Increased volatility or leverage
Risk context helps distinguish sustainable opportunities from fragile ones.
Comparing Across Jobs
Different jobs highlight different aspects of vault behavior.
Comparing results across multiple jobs helps identify:
Vaults that rank consistently well
Strategies that perform well only under specific criteria
Tradeoffs between yield, stability, and risk
No single job provides a complete picture.
Using Results as a Starting Point
RaxBot is best used as a discovery tool.
After identifying candidate vaults, users should:
Review exposure and dependency structure
Analyze portfolio-level impact
Run simulations where appropriate
Apply allocation constraints
This workflow helps avoid decision-making based on rankings alone.
Time Sensitivity
RaxBot results are refreshed frequently.
Changes in rankings may be driven by:
Market volatility
Liquidity movements
Incentive changes
Detected anomalies
Monitoring trends over time is often more informative than reacting to single updates.
Limitations
RaxBot results do not:
Account for individual risk tolerance
Reflect portfolio-specific constraints
Guarantee performance or safety
They are informational outputs, not execution signals.
Summary
RaxBot results provide structured, risk-aware comparisons across DeFi vaults.
When interpreted carefully and combined with deeper analysis, they support more disciplined exploration of yield opportunities.
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