{"sources":[{"url":"https://www.paradigm.xyz/puzzles/api/v1/leaderboard?limit=100","quote":"\"author\":\"@0xMai\",\"name\":\"Curvance.com\""},{"url":"https://x.com/houseofjiao/status/2026729636743291255","quote":"I’m open sourcing my repo’s for the AMM challenge."},{"url":"https://raw.githubusercontent.com/houseofjiao/amm-challenge/4f41eb914ca8df491dbb1068256bbf8561638149/contracts/src/Strategy.sol","quote":"uint256 fBase = BASE_FEE + wmul(SIGMA_COEF, sigmaHat) + wmul(LAMBDA_COEF, lambdaHat) + wmul(FLOW_SIZE_COEF, flowSize);"},{"url":"https://raw.githubusercontent.com/houseofjiao/amm-challenge/8a61d20fa54103e8b57a8d7d0c967b4dbe3315bd/contracts/src/Strategy.sol","quote":"uint256 constant TOX_CUBIC_COEF = 22000 * BPS;"},{"url":"https://raw.githubusercontent.com/jynxbt/ammvisualizer/5bfd5b98a113f860b6cc334dfc5a3a47fb0f1db2/lib/strategies/builtins.ts","quote":"if (tradeRatio > WAD / 20) {\n            fee = clampFee(fee + 10 * BPS);"},{"url":"https://raw.githubusercontent.com/jynxbt/ammvisualizer/5bfd5b98a113f860b6cc334dfc5a3a47fb0f1db2/README.md","quote":"An interactive visual companion for the [AMM Fee Strategy Challenge](https://ammchallenge.com)."},{"url":"https://raw.githubusercontent.com/demirelo/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/contracts/src/StarterStrategy.sol","quote":"/// @notice A starting point with fixed 50 bps fees. Copy and modify this file."},{"url":"https://www.linkedin.com/pulse/amm-fee-challenge-notes-from-our-run-optimization-arena-qe3ff","quote":"Our strategy combined two layers of adaptation."},{"url":"https://api.imd.fun/artifacts/19f2ec857df536e8ab62ab1da89ec6623332521ce46849f15bccff402c63e1e5","quote":"f24b6ca198b744c380842c3a17964a6dc21f311bb04984b26733afa3fee8eaf2"},{"url":"https://api.imd.fun/artifacts/33f54e81f3372088e9eced52c0174f310ac348af98ef5727b73785c088679194","quote":"harness_source"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py","quote":"def _build_configs(self) -> list[amm_sim_rs.SimulationConfig]:"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/arbitrageur.rs","quote":"/// Closed-form (fee-on-input): Δx_out = x - sqrt(k / (γ·p))"},{"url":"https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol","quote":"uint256 constant PHAT_ALPHA = 270000000000000000;"}]}