| name | optimizing-staking-rewards |
| description | Compare and optimize staking rewards across validators, protocols, and blockchains with risk assessment.
Use when analyzing staking opportunities, comparing validators, calculating staking rewards, or optimizing PoS yields.
Trigger with phrases like "optimize staking", "compare staking", "best staking APY", "liquid staking", "validator comparison", "staking rewards", or "ETH staking options".
|
| allowed-tools | Read, Write, Edit, Grep, Glob, Bash(crypto:staking-*) |
| version | 2.0.0 |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| license | MIT |
Optimizing Staking Rewards
Overview
This skill analyzes staking opportunities across multiple proof-of-stake blockchains and liquid staking protocols. It compares APY/APR, calculates net yields after fees, assesses protocol risks, and provides optimization recommendations for maximizing staking returns.
Key capabilities:
- Compare native and liquid staking options across chains
- Calculate true APY after protocol fees and gas costs
- Assess risk factors for each staking protocol
- Optimize portfolio allocation across staking opportunities
- Project returns over custom time horizons
Prerequisites
Before using this skill, ensure you have:
- Python 3.8+ installed
requests library for API calls (pip install requests)- Network access to DeFiLlama APIs
- Basic understanding of staking concepts (APY, validators, unbonding)
Optional:
- CoinGecko API key for higher rate limits on price data
Instructions
Step 1: Compare Staking Opportunities
To compare staking options for a specific asset:
python {baseDir}/scripts/staking_optimizer.py --asset ETH
This fetches current rates from DeFiLlama and displays:
- Protocol name and type (native vs liquid)
- Gross APY (advertised rate)
- Net APY (after protocol fees)
- Risk score (1-10, where 10 is safest)
- TVL and lock-up period
Step 2: Analyze with Position Size
For gas-adjusted yields based on your stake amount:
python {baseDir}/scripts/staking_optimizer.py --asset ETH --amount 10
Adding --amount calculates:
- Effective APY accounting for gas costs
- Projected returns (1M, 3M, 6M, 1Y)
- Gas cost as percentage of position
Step 3: Optimize Existing Portfolio
Input current positions for optimization recommendations:
python {baseDir}/scripts/staking_optimizer.py --optimize \
--positions "10 ETH @ lido 4.0%, 100 ATOM @ native 18%, 50 DOT @ native 14%"
The optimizer will:
- Calculate current total yield
- Suggest higher-yield alternatives
- Show projected improvement
- Warn about switching costs
Step 4: Compare Specific Protocols
For head-to-head protocol comparison:
python {baseDir}/scripts/staking_optimizer.py --compare --protocols lido,rocket-pool,frax-ether
Compare metrics:
- APY side-by-side
- Fee structures
- Risk profiles
- Liquidity depth
Step 5: Detailed Risk Assessment
For in-depth protocol analysis:
python {baseDir}/scripts/staking_optimizer.py --asset ETH --detailed
Shows for each protocol:
- Audit status and age
- Time in production
- Validator diversity
- Historical performance
- Slashing incidents
Step 6: Export Results
Save analysis for further use:
python {baseDir}/scripts/staking_optimizer.py --asset ETH --format json --output staking.json
python {baseDir}/scripts/staking_optimizer.py --asset ETH --format csv --output staking.csv
Output
Quick Comparison Table
==============================================================================
STAKING REWARDS OPTIMIZER 2025-01-15 15:30 UTC
==============================================================================
STAKING OPTIONS FOR ETH
------------------------------------------------------------------------------
Protocol Type Gross APY Net APY Risk TVL Unbond
------------------------------------------------------------------------------
Frax (sfrxETH) liquid 5.10% 4.59% 7/10 $450M instant
Lido (stETH) liquid 4.00% 3.60% 9/10 $15B instant
Rocket Pool liquid 4.20% 3.61% 8/10 $3B instant
Coinbase cbETH liquid 3.80% 3.42% 9/10 $2B instant
ETH Native native 4.00% 4.00% 10/10 $50B variable
------------------------------------------------------------------------------
Ranked by risk-adjusted return (Net APY × Risk Score / 10)
==============================================================================
Optimization Report
==============================================================================
PORTFOLIO OPTIMIZATION
==============================================================================
CURRENT PORTFOLIO
------------------------------------------------------------------------------
Position APY Annual Return
10 ETH @ Lido 3.60% $720
100 ATOM @ Native 18.00% $3,600
50 DOT @ Native 14.00% $1,400
------------------------------------------------------------------------------
Total Portfolio: $25,000 Blended APY: 22.88% Annual: $5,720
OPTIMIZED ALLOCATION
------------------------------------------------------------------------------
Recommendation APY Annual Return Change
10 ETH → Frax 4.59% $918 +$198
100 ATOM → Keep 18.00% $3,600 $0
50 DOT → Keep 14.00% $1,400 $0
------------------------------------------------------------------------------
Optimized Annual: $5,918 Improvement: +$198 (+3.5%)
IMPLEMENTATION
1. Unstake 10 ETH from Lido (instant - liquid)
2. Swap stETH → ETH on Curve (0.01% slippage est.)
3. Stake ETH for sfrxETH on Frax Finance
4. Est. gas cost: ~$15 (current gas: 25 gwei)
==============================================================================
Risk Assessment Detail
RISK ASSESSMENT: Lido (stETH)
------------------------------------------------------------------------------
Overall Score: 9/10 (Low Risk)
Breakdown:
- Audit Status: ✓ Multiple audits, latest 6 months ago (+2.0)
- Time in Production: ✓ 3+ years live (+2.0)
- TVL Size: ✓ $15B+ locked (+2.0)
- Protocol Reputation: ✓ Industry standard, DAO governance (+1.5)
- Validator Diversity: ✓ 30+ validators (+1.5)
Considerations:
- Largest LSD by market share (potential centralization concerns)
- stETH occasionally trades at slight discount to ETH
- 10% fee on staking rewards
Historical:
- No slashing events to date
- stETH peg maintained through market stress
- Consistent validator performance
------------------------------------------------------------------------------
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Common issues:
- API timeout: Cached data used, shown with warning
- Invalid asset: Lists supported assets
- Rate limited: Automatic retry with backoff
- No data found: Falls back to known protocol list
Examples
Example 1: Quick Comparison
python {baseDir}/scripts/staking_optimizer.py --asset ETH
Example 2: Large Position Analysis
python {baseDir}/scripts/staking_optimizer.py --asset ETH --amount 100 --detailed
Example 3: Multi-Asset Research
python {baseDir}/scripts/staking_optimizer.py --assets ETH,SOL,ATOM --format csv
Example 4: Portfolio Optimization
python {baseDir}/scripts/staking_optimizer.py --optimize \
--positions "50 ETH @ lido 3.6%, 500 SOL @ marinade 7.5%"
Example 5: Protocol Deep Dive
python {baseDir}/scripts/staking_optimizer.py --protocol rocket-pool --detailed
Resources
Important Notes
- APYs are variable and change based on network participation
- Historical yields do not guarantee future returns
- This tool provides information, not financial advice
- Always DYOR (Do Your Own Research) before staking
- Consider your risk tolerance and liquidity needs
