{
 "sources": [
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/types/trade_info.rs",
   "quote": "/// true if AMM bought X (trader sold X)"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/router.rs",
   "quote": "Implements optimal order splitting so that the marginal price is equal"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/simulation/engine.rs",
   "quote": "// AMM edge is the negative of arbitrageur profit at true price"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/arbitrageur.rs",
   "quote": "Uses closed-form solutions for constant product AMMs."
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
   "quote": "gbm_sigma_max=0.001008,"
  },
  {
   "url": "https://api.imd.fun/artifacts/528a6da78583c6142644a552c86670f9d25c20e39e92f4de44deae05ddc8cecd",
   "quote": "uint256 constant PHAT_ALPHA_RETAIL = 60000000000000000;"
  },
  {
   "url": "https://api.imd.fun/artifacts/da313379a2e69e9286668865e06b18dfcae25732c82b934b0fd9c2ef0d8c2ff5",
   "quote": "// Interior retail routing equalizes fee-adjusted marginal prices."
  }
 ]
}