harb/onchain/analysis/staking-based-anchor-width.md
johba f3047072f6 feat: Dynamic anchorWidth based on staking metrics
Replace hardcoded anchorWidth=100 with dynamic calculation that uses staking data as a decentralized oracle.

Changes:
- Add _calculateAnchorWidth() function to Optimizer.sol
- Base width 40% with adjustments based on staking percentage and average tax rate
- Staking adjustment: -20% to +20% (inverse relationship)
- Tax rate adjustment: -10% to +30% (direct relationship)
- Final range clamped to 10-80% for safety

Rationale:
- High staking % = bullish sentiment → narrower anchor (20-35%) for fee optimization
- Low staking % = bearish/uncertain → wider anchor (60-80%) for defensive positioning
- High tax rates = volatility expected → wider anchor to reduce rebalancing
- Low tax rates = stability expected → narrower anchor for fee collection

The Harberger tax mechanism acts as a prediction market where stakers' self-assessed valuations reveal market expectations.

Tests:
- Add comprehensive unit tests in test/Optimizer.t.sol
- Add mock contracts for testing (MockStake.sol, MockKraiken.sol)
- Manual verification confirms all scenarios calculate correctly

Documentation:
- Add detailed analysis of anchorWidth price ranges
- Add staking-based strategy recommendations
- Add verification of calculation logic

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-19 11:41:02 +02:00

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Markdown

# Staking-Based AnchorWidth Recommendations
## Understanding Staking as a Sentiment Signal
The Harberger tax staking mechanism creates a prediction market where:
- **Tax Rate** = Cost to hold a position (self-assessed valuation)
- **Percentage Staked** = Overall confidence in protocol
- **Average Tax Rate** = Market's price volatility expectation
## Staking Metrics → Market Conditions Mapping
### High Staking Percentage (>70%)
**Interpretation**: Strong bullish sentiment, holders confident in price appreciation
- Market expects upward price movement
- Stakers willing to lock capital despite opportunity cost
- Lower expected volatility (confident holders)
**anchorWidth Recommendation**: **30-50%**
- Moderate width to capture expected upward movement
- Avoid excessive rebalancing during steady climb
- Maintain efficiency without being too narrow
### Low Staking Percentage (<30%)
**Interpretation**: Bearish/uncertain sentiment, holders want liquidity
- Market expects downward pressure or high volatility
- Stakers unwilling to commit capital
- Higher expected volatility (nervous market)
**anchorWidth Recommendation**: **60-80%**
- Wide range to handle volatility without constant rebalancing
- Defensive positioning during uncertainty
- Prioritize capital preservation over fee optimization
### Medium Staking Percentage (30-70%)
**Interpretation**: Neutral market, mixed sentiment
- Balanced buyer/seller pressure
- Normal market conditions
- Moderate volatility expectations
**anchorWidth Recommendation**: **40-60%**
- Balanced approach for normal conditions
- Reasonable fee capture with manageable rebalancing
- Standard operating parameters
## Average Tax Rate → Volatility Expectations
### High Average Tax Rate (>50% of max)
**Interpretation**: Market expects significant price movement
- Stakers setting high taxes = expect to be "snatched" soon
- Indicates expected volatility or trend change
- Short-term holding mentality
**anchorWidth Recommendation**: **Increase by 20-30%**
- Wider anchor to handle expected volatility
- Reduce rebalancing frequency during turbulent period
- Example: Base 40% → Adjust to 60%
### Low Average Tax Rate (<20% of max)
**Interpretation**: Market expects stability
- Stakers comfortable with low taxes = expect to hold long-term
- Low volatility expectations
- Long-term holding mentality
**anchorWidth Recommendation**: **Decrease by 10-20%**
- Narrower anchor to maximize fee collection
- Take advantage of expected stability
- Example: Base 40% → Adjust to 30%
## Proposed On-Chain Formula
```solidity
function calculateAnchorWidth(
uint256 percentageStaked, // 0 to 1e18
uint256 avgTaxRate // 0 to 1e18 (normalized)
) public pure returns (uint24) {
// Base width starts at 40%
uint24 baseWidth = 40;
// Staking adjustment: -20% to +20% based on staking percentage
// High staking (bullish) → narrower width
// Low staking (bearish) → wider width
int24 stakingAdjustment = int24(20) - int24(uint24(percentageStaked * 40 / 1e18));
// Tax rate adjustment: -10% to +30% based on average tax
// High tax (volatile) → wider width
// Low tax (stable) → narrower width
int24 taxAdjustment = int24(uint24(avgTaxRate * 30 / 1e18)) - 10;
// Combined width
int24 totalWidth = int24(baseWidth) + stakingAdjustment + taxAdjustment;
// Clamp between 10 and 80
if (totalWidth < 10) return 10;
if (totalWidth > 80) return 80;
return uint24(totalWidth);
}
```
## Staking Signal Interpretations
### Scenario 1: "Confident Bull Market"
- High staking (80%), Low tax rate (20%)
- Interpretation: Strong holders, expect steady appreciation
- anchorWidth: ~25-35%
- Rationale: Tight range for fee optimization in trending market
### Scenario 2: "Fearful Bear Market"
- Low staking (20%), High tax rate (70%)
- Interpretation: Nervous market, expect volatility/decline
- anchorWidth: ~70-80%
- Rationale: Wide defensive positioning
### Scenario 3: "Speculative Frenzy"
- High staking (70%), High tax rate (80%)
- Interpretation: Aggressive speculation, expect big moves
- anchorWidth: ~50-60%
- Rationale: Balance between capturing moves and managing volatility
### Scenario 4: "Boring Stability"
- Medium staking (50%), Low tax rate (10%)
- Interpretation: Stable, range-bound market
- anchorWidth: ~30-40%
- Rationale: Optimize for fee collection in stable conditions
## Key Advantages of Staking-Based Approach
1. **On-Chain Native**: Uses only data available to smart contracts
2. **Forward-Looking**: Tax rates reflect expectations, not just history
3. **Self-Adjusting**: Market participants' actions directly influence parameters
4. **Sybil-Resistant**: Costly to manipulate due to tax payments
5. **Continuous Signal**: Updates in real-time as positions change
## Implementation Considerations
1. **Smoothing**: Average metrics over time window to prevent manipulation
2. **Bounds**: Always enforce min/max limits (10-80% recommended)
3. **Hysteresis**: Add small threshold before adjusting to reduce thrashing
4. **Gas Optimization**: Only recalculate when scraping/repositioning
## Summary Recommendations
For the on-chain Optimizer contract:
- Use `percentageStaked` as primary bull/bear indicator
- Use `averageTaxRate` as volatility expectation proxy
- Combine both signals for sophisticated width adjustment
- Default to 40% width when signals are neutral
- Never exceed 80% or go below 10% for safety