{
  "sources": [
    {
      "url": "https://api.imd.fun/artifacts/db62deadd0a3ec885ad69bd3917fee793a924ead522776d73cc09110923e1e86",
      "quote": "28417e116f57f1029fdd1803832e852574902c1ae7253c05657f317db76da4ab"
    },
    {
      "url": "https://api.imd.fun/artifacts/f09f39f5092e5b1e56f156df10f397e5df0e194afa630ab24fc699adfd980d31",
      "quote": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb"
    },
    {
      "url": "https://api.imd.fun/artifacts/ddbbaac58282566e0505d895c83daf348487cc322e8c482e61d4d87e6e4628de",
      "quote": "No arb retry after callback, between retail orders, or after retail in that step."
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/router.rs",
      "quote": "let numerator = r * (y2 + gamma2 * total_y) - y1;"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/arbitrageur.rs",
      "quote": "let new_x = (k / (gamma * fair_price)).sqrt();"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/retail.rs",
      "quote": "let mu = mean.ln() - 0.5 * sigma * sigma;"
    }
  ]
}