10702f5aa3
- Add staking/unstaking actions to fuzzing scenarios (stake every 3rd trade) - Implement snatching logic when stake pool reaches capacity (uses max tax rate) - Add configurable parameters: - buyBias: Control buy vs sell ratio (0-100%) - stakingBias: Control stake vs unstake ratio (0-100%) - tradesPerRun: Configure number of trades per scenario - staking: Enable/disable staking entirely - Simplify to single trading strategy (_executeRandomLargeTrades) - Fix memory issues by recording only every 5th trade to CSV - Track staking metrics (stakes attempted/succeeded, snatches attempted/succeeded) - Update CLAUDE.md with new fuzzing parameters and usage examples - Clean up old TODO files and unused code 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
570 lines
No EOL
25 KiB
Solidity
570 lines
No EOL
25 KiB
Solidity
// SPDX-License-Identifier: GPL-3.0-or-later
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pragma solidity ^0.8.19;
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import "forge-std/Test.sol";
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import {TestEnvironment} from "../test/helpers/TestBase.sol";
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import {IUniswapV3Pool} from "@uniswap/v3-core/contracts/interfaces/IUniswapV3Pool.sol";
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import {IUniswapV3Factory} from "@uniswap/v3-core/contracts/interfaces/IUniswapV3Factory.sol";
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import {IWETH9} from "../src/interfaces/IWETH9.sol";
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import {Kraiken} from "../src/Kraiken.sol";
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import {Stake} from "../src/Stake.sol";
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import {LiquidityManager} from "../src/LiquidityManager.sol";
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import {ThreePositionStrategy} from "../src/abstracts/ThreePositionStrategy.sol";
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import {UniswapHelpers} from "../src/helpers/UniswapHelpers.sol";
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import "../test/mocks/BullMarketOptimizer.sol";
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import "../test/mocks/WhaleOptimizer.sol";
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import "./helpers/CSVManager.sol";
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import "./helpers/SwapExecutor.sol";
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/**
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* @title ImprovedFuzzingAnalysis
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* @notice Enhanced fuzzing with larger trades designed to reach discovery position
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* @dev Uses more aggressive trading patterns to explore the full liquidity range
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*/
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contract ImprovedFuzzingAnalysis is Test, CSVManager {
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TestEnvironment testEnv;
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IUniswapV3Factory factory;
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IUniswapV3Pool pool;
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IWETH9 weth;
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Kraiken harberg;
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Stake stake;
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LiquidityManager lm;
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bool token0isWeth;
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// Reusable swap executor to avoid repeated deployments
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SwapExecutor swapExecutor;
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address account = makeAddr("trader");
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address whale = makeAddr("whale");
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address feeDestination = makeAddr("fees");
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// Analysis metrics
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uint256 public scenariosAnalyzed;
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uint256 public profitableScenarios;
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uint256 public discoveryReachedCount;
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uint256 public totalStakesAttempted;
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uint256 public totalStakesSucceeded;
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uint256 public totalSnatchesAttempted;
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uint256 public totalSnatchesSucceeded;
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// Staking tracking
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mapping(address => uint256[]) public activePositions;
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uint256[] public allPositionIds; // Track all positions for snatching
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// Configuration
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uint256 public fuzzingRuns;
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bool public trackPositions;
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bool public enableStaking;
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uint256 public buyBias; // 0-100, percentage bias towards buying vs selling
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uint256 public tradesPerRun; // Number of trades/actions per scenario
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uint256 public stakingBias; // 0-100, percentage bias towards staking vs unstaking
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string public optimizerClass;
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function run() public virtual {
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_loadConfiguration();
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console.log("=== IMPROVED Fuzzing Analysis ===");
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console.log("Designed to reach discovery position with larger trades");
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console.log(string.concat("Optimizer: ", optimizerClass));
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console.log(string.concat("Fuzzing runs: ", vm.toString(fuzzingRuns)));
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console.log(string.concat("Staking enabled: ", enableStaking ? "true" : "false"));
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console.log("");
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testEnv = new TestEnvironment(feeDestination);
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// Deploy factory once for all runs (gas optimization)
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factory = UniswapHelpers.deployUniswapFactory();
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// Get optimizer
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address optimizerAddress = _getOptimizerByClass(optimizerClass);
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// Track profitable scenarios
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string memory profitableCSV = "Scenario,Seed,Initial Balance,Final Balance,Profit,Profit %,Discovery Reached\n";
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uint256 profitableCount;
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for (uint256 seed = 0; seed < fuzzingRuns; seed++) {
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if (seed % 10 == 0 && seed > 0) {
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console.log(string.concat("Progress: ", vm.toString(seed), "/", vm.toString(fuzzingRuns)));
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}
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// Create fresh environment with existing factory
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(factory, pool, weth, harberg, stake, lm,, token0isWeth) =
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testEnv.setupEnvironmentWithExistingFactory(factory, seed % 2 == 0, feeDestination, optimizerAddress);
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// Fund LiquidityManager with MORE ETH for deeper liquidity
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vm.deal(address(lm), 200 ether); // Increased from 50
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// Fund accounts with MORE capital
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uint256 traderFund = 50 ether + (uint256(keccak256(abi.encodePacked(seed, "trader"))) % 150 ether); // 50-200 ETH
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uint256 whaleFund = 200 ether + (uint256(keccak256(abi.encodePacked(seed, "whale"))) % 300 ether); // 200-500 ETH
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vm.deal(account, traderFund * 2);
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vm.deal(whale, whaleFund * 2);
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vm.prank(account);
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weth.deposit{value: traderFund}();
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vm.prank(whale);
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weth.deposit{value: whaleFund}();
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// Create SwapExecutor once per scenario to avoid repeated deployments
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swapExecutor = new SwapExecutor(pool, weth, harberg, token0isWeth);
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uint256 initialBalance = weth.balanceOf(account);
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// Initial recenter
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vm.prank(feeDestination);
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try lm.recenter{gas: 50_000_000}() {} catch {}
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// Initialize position tracking for each seed
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if (trackPositions) {
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// Initialize CSV header for each seed (after clearCSV from previous run)
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initializePositionsCSV();
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_recordPositionData("Initial");
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}
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// Run improved trading scenario
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(uint256 finalBalance, bool reachedDiscovery) = _runImprovedScenario(seed);
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scenariosAnalyzed++;
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if (reachedDiscovery) {
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discoveryReachedCount++;
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}
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// Check profitability
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if (finalBalance > initialBalance) {
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uint256 profit = finalBalance - initialBalance;
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uint256 profitPct = (profit * 100) / initialBalance;
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profitableScenarios++;
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console.log(string.concat("PROFITABLE! Seed: ", vm.toString(seed)));
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console.log(string.concat(" Profit: ", vm.toString(profit / 1e15), " finney (", vm.toString(profitPct), "%)"));
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console.log(string.concat(" Discovery reached: ", reachedDiscovery ? "YES" : "NO"));
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profitableCSV = string.concat(
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profitableCSV,
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optimizerClass, ",",
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vm.toString(seed), ",",
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vm.toString(initialBalance), ",",
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vm.toString(finalBalance), ",",
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vm.toString(profit), ",",
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vm.toString(profitPct), ",",
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reachedDiscovery ? "true" : "false", "\n"
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);
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profitableCount++;
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}
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// Write position CSV if tracking
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if (trackPositions) {
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_recordPositionData("Final");
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string memory positionFilename = string.concat(
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"improved_positions_", optimizerClass, "_", vm.toString(seed), ".csv"
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);
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writeCSVToFile(positionFilename);
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clearCSV(); // Clear buffer for next run
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}
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}
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// Summary
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console.log("\n=== ANALYSIS COMPLETE ===");
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console.log(string.concat("Total scenarios: ", vm.toString(scenariosAnalyzed)));
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console.log(string.concat("Profitable scenarios: ", vm.toString(profitableScenarios)));
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console.log(string.concat("Discovery reached: ", vm.toString(discoveryReachedCount), " times"));
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console.log(string.concat("Discovery rate: ", vm.toString((discoveryReachedCount * 100) / scenariosAnalyzed), "%"));
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console.log(string.concat("Profit rate: ", vm.toString((profitableScenarios * 100) / scenariosAnalyzed), "%"));
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if (enableStaking) {
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console.log("\n=== STAKING METRICS ===");
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console.log(string.concat("Stakes attempted: ", vm.toString(totalStakesAttempted)));
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console.log(string.concat("Stakes succeeded: ", vm.toString(totalStakesSucceeded)));
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console.log(string.concat("Snatches attempted: ", vm.toString(totalSnatchesAttempted)));
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console.log(string.concat("Snatches succeeded: ", vm.toString(totalSnatchesSucceeded)));
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if (totalStakesAttempted > 0) {
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console.log(string.concat("Stake success rate: ", vm.toString((totalStakesSucceeded * 100) / totalStakesAttempted), "%"));
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}
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if (totalSnatchesAttempted > 0) {
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console.log(string.concat("Snatch success rate: ", vm.toString((totalSnatchesSucceeded * 100) / totalSnatchesAttempted), "%"));
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}
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}
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if (profitableCount > 0) {
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string memory filename = string.concat("improved_profitable_", vm.toString(block.timestamp), ".csv");
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vm.writeFile(filename, profitableCSV);
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console.log(string.concat("\nResults written to: ", filename));
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}
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}
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function _runImprovedScenario(uint256 seed) internal virtual returns (uint256 finalBalance, bool reachedDiscovery) {
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uint256 rand = uint256(keccak256(abi.encodePacked(seed, block.timestamp)));
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// Get initial discovery position
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(, int24 discoveryLower, int24 discoveryUpper) = lm.positions(ThreePositionStrategy.Stage.DISCOVERY);
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// Initial buy to generate some KRAIKEN tokens for trading/staking
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_executeBuy(account, weth.balanceOf(account) / 4); // Buy 25% of ETH worth
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_executeBuy(whale, weth.balanceOf(whale) / 4); // Whale buys 25% of ETH worth
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// Always use random trading strategy for consistent behavior
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_executeRandomLargeTrades(rand);
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// Check if we reached discovery
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(, int24 currentTick,,,,,) = pool.slot0();
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reachedDiscovery = (currentTick >= discoveryLower && currentTick < discoveryUpper);
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if (reachedDiscovery) {
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console.log(" [DISCOVERY REACHED] at tick", vm.toString(currentTick));
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if (trackPositions) {
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_recordPositionData("Discovery_Reached");
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}
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}
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// Final cleanup: sell all KRAIKEN
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uint256 finalKraiken = harberg.balanceOf(account);
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if (finalKraiken > 0) {
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_executeSell(account, finalKraiken);
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}
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finalBalance = weth.balanceOf(account);
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}
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function _executeRandomLargeTrades(uint256 rand) internal {
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console.log(" Strategy: Random Large Trades");
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console.log(" Buy bias:", buyBias, "%");
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console.log(" Trades:", tradesPerRun);
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if (enableStaking) {
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console.log(" Staking bias:", stakingBias, "%");
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}
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for (uint256 i = 0; i < tradesPerRun; i++) {
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rand = uint256(keccak256(abi.encodePacked(rand, i)));
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uint256 actor = rand % 2; // 0 = trader, 1 = whale
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// Use buy bias to determine action
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uint256 actionRoll = rand % 100;
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uint256 action;
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if (actionRoll < buyBias) {
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action = 0; // Buy (biased towards buying when buyBias > 50)
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} else if (actionRoll < 90) {
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action = 1; // Sell (reduced probability when buyBias is high)
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} else {
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action = 2; // Recenter (10% chance)
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}
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address actorAddr = actor == 0 ? account : whale;
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if (action == 0) {
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// Large buy (30-80% of balance, or more with high buy bias)
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uint256 buyPct = buyBias > 70 ? 50 + (rand % 40) : 30 + (rand % 51);
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uint256 buyAmount = weth.balanceOf(actorAddr) * buyPct / 100;
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if (buyAmount > 0) {
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_executeBuy(actorAddr, buyAmount);
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}
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} else if (action == 1) {
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// Large sell (reduced amounts with high buy bias)
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uint256 sellPct = buyBias > 70 ? 10 + (rand % 30) : 30 + (rand % 71);
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uint256 sellAmount = harberg.balanceOf(actorAddr) * sellPct / 100;
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if (sellAmount > 0) {
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_executeSell(actorAddr, sellAmount);
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}
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} else {
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// Recenter
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vm.warp(block.timestamp + (rand % 2 hours));
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vm.prank(feeDestination);
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try lm.recenter{gas: 50_000_000}() {} catch {}
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}
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// Every 3rd trade, attempt staking/unstaking if enabled
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if (enableStaking && i % 3 == 2) {
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uint256 stakingRoll = uint256(keccak256(abi.encodePacked(rand, "staking", i))) % 100;
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if (stakingRoll < stakingBias) {
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// Try to stake
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_executeStake(rand + i * 1000);
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} else {
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// Try to unstake
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_executeExitPosition(rand + i * 1000);
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}
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}
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// Only record every 5th trade to avoid memory issues with large trade counts
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if (trackPositions && i % 5 == 0) {
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_recordPositionData("Trade");
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}
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}
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}
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function _executeBuy(address buyer, uint256 amount) internal virtual {
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if (amount == 0 || weth.balanceOf(buyer) < amount) return;
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vm.prank(buyer);
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weth.transfer(address(swapExecutor), amount);
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try swapExecutor.executeBuy(amount, buyer) {} catch {}
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}
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function _executeSell(address seller, uint256 amount) internal virtual {
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if (amount == 0 || harberg.balanceOf(seller) < amount) return;
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vm.prank(seller);
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harberg.transfer(address(swapExecutor), amount);
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try swapExecutor.executeSell(amount, seller) {} catch {}
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}
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function _getOptimizerByClass(string memory class) internal returns (address) {
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if (keccak256(bytes(class)) == keccak256("BullMarketOptimizer")) {
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return address(new BullMarketOptimizer());
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} else if (keccak256(bytes(class)) == keccak256("WhaleOptimizer")) {
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return address(new WhaleOptimizer());
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} else {
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return address(new BullMarketOptimizer());
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}
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}
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function _loadConfiguration() internal {
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fuzzingRuns = vm.envOr("FUZZING_RUNS", uint256(20));
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trackPositions = vm.envOr("TRACK_POSITIONS", false);
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enableStaking = vm.envOr("ENABLE_STAKING", true); // Default to true
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buyBias = vm.envOr("BUY_BIAS", uint256(50)); // Default 50% (balanced)
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tradesPerRun = vm.envOr("TRADES_PER_RUN", uint256(15)); // Default 15 trades
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stakingBias = vm.envOr("STAKING_BIAS", uint256(80)); // Default 80% stake vs 20% unstake
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optimizerClass = vm.envOr("OPTIMIZER_CLASS", string("BullMarketOptimizer"));
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}
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function _recordPositionData(string memory label) internal {
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// Split into separate function calls to avoid stack too deep
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_recordPositionDataInternal(label);
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}
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function _recordPositionDataInternal(string memory label) private {
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// Disable position tracking if it causes memory issues
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if (bytes(csv).length > 50000) {
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// CSV is getting too large, skip recording
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return;
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}
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(,int24 currentTick,,,,,) = pool.slot0();
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// Get position data
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(uint128 floorLiq, int24 floorLower, int24 floorUpper) = lm.positions(ThreePositionStrategy.Stage.FLOOR);
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(uint128 anchorLiq, int24 anchorLower, int24 anchorUpper) = lm.positions(ThreePositionStrategy.Stage.ANCHOR);
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(uint128 discoveryLiq, int24 discoveryLower, int24 discoveryUpper) = lm.positions(ThreePositionStrategy.Stage.DISCOVERY);
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// Use simpler row building to avoid memory issues
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string memory row = label;
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row = string.concat(row, ",", vm.toString(currentTick));
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row = string.concat(row, ",", vm.toString(floorLower));
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row = string.concat(row, ",", vm.toString(floorUpper));
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row = string.concat(row, ",", vm.toString(floorLiq));
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row = string.concat(row, ",", vm.toString(anchorLower));
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row = string.concat(row, ",", vm.toString(anchorUpper));
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row = string.concat(row, ",", vm.toString(anchorLiq));
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row = string.concat(row, ",", vm.toString(discoveryLower));
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row = string.concat(row, ",", vm.toString(discoveryUpper));
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row = string.concat(row, ",", vm.toString(discoveryLiq));
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row = string.concat(row, ",", token0isWeth ? "true" : "false");
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row = string.concat(row, ",", vm.toString(stake.getPercentageStaked()));
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row = string.concat(row, ",", vm.toString(stake.getAverageTaxRate()));
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appendCSVRow(row);
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}
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function _executeStakingAction(uint256 rand) internal {
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uint256 action = rand % 100;
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// 70% chance to stake, 5% chance to exit (to fill pool faster)
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if (action < 70) {
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_executeStake(rand);
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} else if (action < 75) {
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_executeExitPosition(rand);
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}
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}
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function _executeStakeWithAmount(address staker, uint256 amount, uint32 taxRate) internal {
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// Direct stake with specific amount and tax rate
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_doStake(staker, amount, taxRate);
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}
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function _executeStake(uint256 rand) internal {
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address staker = rand % 2 == 0 ? account : whale;
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uint256 harbBalance = harberg.balanceOf(staker);
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if (harbBalance > harberg.minStake()) {
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// Stake between 30% and 80% of balance (increased from 10-50%)
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uint256 amount = harbBalance * (30 + (rand % 50)) / 100;
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if (amount < harberg.minStake()) {
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amount = harberg.minStake();
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}
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// Random tax rate (index 0-29)
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uint32 taxRate = uint32(rand % 30);
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vm.prank(staker);
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harberg.approve(address(stake), amount);
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_doStake(staker, amount, taxRate);
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}
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}
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function _doStake(address staker, uint256 amount, uint32 taxRate) internal {
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vm.startPrank(staker);
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// Check current pool capacity before attempting stake
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uint256 currentPercentStaked = stake.getPercentageStaked();
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// First try to stake without snatching
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totalStakesAttempted++;
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try stake.snatch(amount, staker, taxRate, new uint256[](0)) returns (uint256 positionId) {
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totalStakesSucceeded++;
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activePositions[staker].push(positionId);
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allPositionIds.push(positionId);
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console.log(" STAKED:", amount / 1e18);
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console.log(" Tax rate index:", taxRate);
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console.log(" Pool now at:", currentPercentStaked / 1e16);
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if (trackPositions) {
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_recordPositionData("Stake");
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}
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} catch Error(string memory reason) {
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// If staking failed (likely pool is full), try snatching with max tax rate
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console.log(" Stake failed:", reason);
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console.log(" Pool at:", currentPercentStaked / 1e16, "percent - attempting snatch...");
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// Use max tax rate (29) for snatching
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uint32 maxTaxRate = 29;
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// Find positions to snatch (those with lower tax rates)
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uint256[] memory positionsToSnatch = _findSnatchablePositions(maxTaxRate, amount);
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if (positionsToSnatch.length > 0) {
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totalSnatchesAttempted++;
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try stake.snatch(amount, staker, maxTaxRate, positionsToSnatch) returns (uint256 positionId) {
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totalSnatchesSucceeded++;
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activePositions[staker].push(positionId);
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allPositionIds.push(positionId);
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// Remove snatched positions from tracking
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_removeSnatchedPositions(positionsToSnatch);
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|
|
console.log(" SNATCHED positions:", positionsToSnatch.length);
|
|
console.log(" Staked amount:", amount / 1e18);
|
|
if (trackPositions) {
|
|
_recordPositionData("Snatch");
|
|
}
|
|
} catch Error(string memory sReason) {
|
|
console.log(" Snatching failed:", sReason);
|
|
} catch {
|
|
console.log(" Snatching failed with unknown error");
|
|
}
|
|
} else {
|
|
console.log(" No snatchable positions found");
|
|
}
|
|
} catch {
|
|
// Catch-all for non-string errors
|
|
console.log(" Stake failed (unknown error) at", currentPercentStaked / 1e16, "percent");
|
|
}
|
|
vm.stopPrank();
|
|
}
|
|
|
|
function _executeExitPosition(uint256 rand) internal {
|
|
address staker = rand % 2 == 0 ? account : whale;
|
|
|
|
if (activePositions[staker].length > 0) {
|
|
uint256 index = rand % activePositions[staker].length;
|
|
uint256 positionId = activePositions[staker][index];
|
|
|
|
vm.prank(staker);
|
|
try stake.exitPosition(positionId) {
|
|
// Remove from array
|
|
activePositions[staker][index] = activePositions[staker][activePositions[staker].length - 1];
|
|
activePositions[staker].pop();
|
|
|
|
// Also remove from allPositionIds
|
|
for (uint256 j = 0; j < allPositionIds.length; j++) {
|
|
if (allPositionIds[j] == positionId) {
|
|
allPositionIds[j] = 0; // Mark as removed
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (trackPositions) {
|
|
_recordPositionData("ExitStake");
|
|
}
|
|
} catch {
|
|
// Exit failed (position might be liquidated), remove from tracking
|
|
activePositions[staker][index] = activePositions[staker][activePositions[staker].length - 1];
|
|
activePositions[staker].pop();
|
|
|
|
// Also remove from allPositionIds
|
|
for (uint256 j = 0; j < allPositionIds.length; j++) {
|
|
if (allPositionIds[j] == positionId) {
|
|
allPositionIds[j] = 0; // Mark as removed
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
function _findSnatchablePositions(uint32 maxTaxRate, uint256 amountNeeded) internal view returns (uint256[] memory) {
|
|
// Find positions with tax rates lower than maxTaxRate
|
|
uint256[] memory snatchable = new uint256[](10); // Max 10 positions to snatch
|
|
uint256 count = 0;
|
|
uint256 totalShares = 0;
|
|
|
|
for (uint256 i = 0; i < allPositionIds.length && count < 10; i++) {
|
|
uint256 positionId = allPositionIds[i];
|
|
if (positionId == 0) continue;
|
|
|
|
// Get position info
|
|
(uint256 shares, address owner,, , uint32 taxRate) = stake.positions(positionId);
|
|
|
|
// Skip if position doesn't exist or tax rate is too high
|
|
if (shares == 0 || taxRate >= maxTaxRate) continue;
|
|
|
|
snatchable[count] = positionId;
|
|
totalShares += shares;
|
|
count++;
|
|
|
|
// Check if we have enough shares to cover the amount needed
|
|
uint256 assetsFromShares = stake.sharesToAssets(totalShares);
|
|
if (assetsFromShares >= amountNeeded) {
|
|
break;
|
|
}
|
|
}
|
|
|
|
// Resize array to actual count
|
|
uint256[] memory result = new uint256[](count);
|
|
for (uint256 i = 0; i < count; i++) {
|
|
result[i] = snatchable[i];
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
function _removeSnatchedPositions(uint256[] memory snatchedIds) internal {
|
|
// Remove snatched positions from allPositionIds
|
|
for (uint256 i = 0; i < snatchedIds.length; i++) {
|
|
uint256 snatchedId = snatchedIds[i];
|
|
|
|
// Find and remove from allPositionIds
|
|
for (uint256 j = 0; j < allPositionIds.length; j++) {
|
|
if (allPositionIds[j] == snatchedId) {
|
|
allPositionIds[j] = 0; // Mark as removed
|
|
break;
|
|
}
|
|
}
|
|
|
|
// Remove from owner's activePositions
|
|
for (uint256 k = 0; k < 2; k++) {
|
|
address owner = k == 0 ? account : whale;
|
|
uint256[] storage ownerPositions = activePositions[owner];
|
|
for (uint256 m = 0; m < ownerPositions.length; m++) {
|
|
if (ownerPositions[m] == snatchedId) {
|
|
ownerPositions[m] = ownerPositions[ownerPositions.length - 1];
|
|
ownerPositions.pop();
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} |