yield-analysis
Yield Analysis — DeFi Yield Evaluation & Comparison
DeFi yields are often misleading. A pool advertising 200% APY may deliver negative real returns once you account for impermanent loss, gas costs, and emission token depreciation. This skill provides the framework to decompose, evaluate, and compare yield opportunities accurately.
Why Yield Analysis Matters
Most DeFi yield dashboards show nominal yield — the headline number. Real yield requires decomposing that number into its components and subtracting all costs. Without this decomposition:
- LPs chase high-APY pools that destroy capital through IL
- Emission-driven yields collapse as reward tokens lose value
- Gas and rebalancing costs eat into thin margins
- Opportunity cost is ignored (you could be staking SOL at ~7%)
Yield Components
Every DeFi yield breaks down into one or more of these sources:
1. Trading Fee Income
Swap fees earned by liquidity providers. This is the most sustainable yield source because it comes from real economic activity.
More from agiprolabs/claude-trading-skills
pandas-ta
Technical analysis with 130+ indicators using pandas-ta for crypto market data
109risk-management
Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading
78feature-engineering
Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features
78trading-visualization
Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions
78signal-classification
ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
75market-microstructure
DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens
75