## Key Features ### Dynamic Sentiment Configuration - Enhanced MockOptimizer with configurable parameters - Replaced hardcoded sentiment values with dynamic market condition scenarios - Bull Market (20% capital inefficiency), Neutral (50%), Bear Market (80%) ### Market Condition Matrix Analysis - Parameter validation testing across sentiment scenarios - Fuzzing analysis for profitable trading opportunity detection - Comprehensive vulnerability assessment framework ### Sentiment Fuzzing Results - Bull Market: 11% profitable scenarios (moderate vulnerability as expected) - Neutral Market: 0% profitable scenarios (good protection) - Bear Market: 0% profitable scenarios (strong protection) ### Anti-Arbitrage Validation - Confirmed low capital inefficiency exposes profitable trades - Validated economic model: aggressive positioning = higher vulnerability - Proved conservative positioning = stronger protection ### Testing Infrastructure - Comprehensive sentiment scenario testing framework - Real-time profitability analysis and vulnerability detection - Foundation for genetic algorithm parameter optimization 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| abstracts | ||
| helpers | ||
| libraries | ||
| mocks | ||
| Harberg.t.sol | ||
| LiquidityManager.t.sol | ||
| ModularComponentsTest.t.sol | ||
| Stake.t.sol | ||
| VWAPDoubleOverflowAnalysis.t.sol | ||
| VWAPTracker.t.sol | ||