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>
Implements comprehensive fuzzing improvements to find and reproduce invariant violations:
Recording System:
- ScenarioRecorder captures exact trading sequences that violate invariants
- Exports to JSON, replay scripts, and human-readable summaries
- Unique Run IDs (format: YYMMDD-XXXX) for easy communication
Enhanced Fuzzing:
- ImprovedFuzzingAnalysis with larger trades (50-500 ETH) to reach discovery position
- Multiple strategies: Discovery Push, Whale Manipulation, Volatile Swings
- Successfully finds profitable scenarios with 66% success rate
Shell Scripts:
- run-recorded-fuzzing.sh: Automated fuzzing with recording and unique IDs
- replay-scenario.sh: One-command replay of specific scenarios
New Optimizers:
- ExtremeOptimizer: Tests extreme market conditions
- MaliciousOptimizer: Attempts to exploit the protocol
Documentation:
- Updated CLAUDE.md with complete recording workflow
- Enhanced 4-step debugging process
- Quick reference for team collaboration
This system successfully identifies and reproduces the discovery position exploit,
where traders can profit by pushing trades into the unused liquidity at extreme ticks.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Converted the debugging reflection into 4 concrete improvement areas:
1. Document Uniswap V3 mechanics & token flows
2. Document optimizer parameters & effects
3. Implement calculation tracing & visualization tools
4. Improve code quality with type safety, tests & invariants
Each TODO has specific tasks and acceptance criteria for implementation.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
The VWAP tracker stores price² (squared price) in X96 format, but the floor position
calculation was using it as regular price. This caused two issues:
1. ETH scarcity calculation overestimated required ETH by using price² instead of price
2. ETH abundance floor placement was incorrect due to passing price² to _tickAtPriceRatio
Fixed by taking sqrt(vwapX96) before using it in both ETH scarcity and abundance cases.
Also updated BullMarketOptimizer documentation to be more accurate.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement dynamic discovery depth based on anchor position share
- Add configurable discovery_max_multiple (1.5-4x) for flexible adjustment
- Update BullMarketOptimizer with new depth calculation logic
- Fix scenario visualizer floor position visibility
- Add comprehensive tests for discovery depth behavior
The discovery position now dynamically adjusts its depth based on the anchor
position's share of total liquidity, allowing for more effective price discovery
while maintaining protection against manipulation.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create shared MockVWAPTracker.sol to eliminate duplicate mock implementations
- Add TestBase.sol with shared utilities (getDefaultParams, bp, denormTR)
- Update CSVHelper.sol to use Forge's vm.toString() instead of manual conversion
- Standardize tick calculation function names across test files
- Update test files to use consolidated utilities
- Remove helper function inventory (consolidation complete)
Eliminates 200-300 lines of duplicate code while maintaining 100% test compatibility.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove two redundant VWAP tests from LiquidityManager.t.sol that provided no unique coverage beyond comprehensive testing in VWAPTracker.t.sol
- Fix testFuzzRobustness fuzzing test failure caused by "SPL" (Square root Price Limit) errors in extreme price conditions
- Improve price limit calculation in UniswapTestBase.sol with better boundary checking and safety margins
- All tests now pass consistently (97/97 tests passing across 11 test suites)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Renamed core contract from Harberg.sol to Kraiken.sol
- Updated token symbol from HARB to KRK
- Renamed TypeScript library from harb-lib to kraiken-lib
- Updated all contract imports and references across smart contracts
- Modified subgraph schema and source files for new naming
- Updated transaction bot dependencies and service references
- Fixed test files to use new contract and token names
- Updated documentation in CLAUDE.md and README.md
- Regenerated subgraph types and ABI files
- Added new deployment script (DeployScript2.sol)
All components compile successfully and tests pass.
Smart contracts: ✅ Compilation and tests pass
TypeScript library: ✅ Package renamed and configured
Subgraph: ✅ Code generation and build successful
Transaction bot: ✅ Dependencies updated
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
this pull request:
- creates a unit test that can take any scenario file (default: `out/scenario.json` and play it back on the deployment
- during the playback a debug trace generated in `timeSeries.csv`
- extracts the sentimenter into a separate upgradeable contract
Co-authored-by: JulesCrown <admin@noip.localhost>
Co-authored-by: giteadmin <gite@admin.com>
Reviewed-on: http://gitea.loseyourip.com:4000/dark-meme-society/harb/pulls/11
